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Channel Allocation Strategies in Computer Network

Channel Allocation means to allocate the available channels to the cells in a cellular system. When a user wants to make a call request then by using channel allocation strategies their requests are fulfilled. Channel Allocation Strategies are designed in such a way that there is efficient use of frequencies, time slots and bandwidth. 

Types of Channel Allocation Strategies:  

These are Fixed, Dynamic, Hybrid Channel Allocation and Borrowing Channel Allocation as explained as following below.

Fixed Channel Allocation (FCA):  

Fixed Channel Allocation is a strategy in which fixed number of channels or voice channels are allocated to the cells. Once the channels are allocated to the specific cells then they cannot be changed. In FCA channels are allocated in a manner that maximize Frequency reuse.

cellular networks channel assignment

  • Advantages : 
  • Simple to implement and manage
  • Does not require complex equipment or algorithms
  • Disadvantages :
  • Limited channel utilization as unused channels remain unused.
  • Susceptible to interference and congestion.

Dynamic Channel Allocation (DCA): 

Dynamic Channel allocation is a strategy in which channels are not permanently allocated to the cells. When a User makes a call request then Base Station (BS) send that request to the Mobile Station Center (MSC) for the allocation of channels or voice channels. This way the likelihood of blocking calls is reduced. As traffic increases more channels are assigned and vice-versa.

  • Advantages :
  • Efficient use of available bandwidth.
  • Reduces call blocking and improves call quality.
  • Allows for dynamic allocation of resources.
  • Requires more complex equipment and algorithms.
  • May result in call drops or poor quality if resources are not available

Hybrid Channel Allocation (HCA): 

Hybrid Channel Allocation is a combination of both Fixed Channel Allocation (FCA) and Dynamic Channel Allocation (DCA). The total number of channels or voice channels are divided into fixed and dynamic set. When a user make a call then first fixed set of channels are utilized but if all the fixed sets are busy then dynamic sets are used. The main purpose of HCA is to work efficiently under heavy traffic and to maintain a minimum S/I.

  •   Provides the benefits of both FCA and DCA.
  •   Allows for dynamic allocation of resources while maintaining predictable call quality and reliability.
  • Requires more complex equipment and algorithms than FCA.
  •  May not provide the same level of efficiency as pure DCA.

Borrowing Channel Allocation (BCA) :

 when a cell experiences high traffic demand and all of its channels are occupied, it can borrow channels from neighboring cells that are not being used at that time. The borrowed channels are assigned to the busy cell and are used to support the additional traffic demand. Once the demand subsides, the borrowed channels are released and returned to their home cell. BCA can be implemented manually or automatically using algorithms or policies but the main disadvantage is that if the borrowed channel is reclaimed by the original cell the call drop may occur.

  •  Efficient use of available bandwidth.
  •  Reduces call blocking and improves call quality.
  • Increases interference between cells.
  • Can cause call drops if borrowed channels are reclaimed by the home cell.

    

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Channel Assignment Schemes

Contributed by John S. Davis, II , U.C. Berkeley

One main issue in cellular system design reduces to one of economics. Essentially we have a limited resource transmission spectrum, that must be shared by several users. Unlike wired communications which benefits from isolation provided by cables, wireless users within close proximity of one another can cause significant interference to one another. To address this issue, the concept of cellular communications was introduced around in 1968 by researchers at AT&T Bell Labs. The basic concept being that a given geography is divided into polygons called cells.

Each cell is allocated a portion of the total frequency spectrum. As users move into a given cell, they are then permitted to utilize the channel allocated to that cell. The virtue of the cellular system is that different cells can use the same channel given that the cells are separated by a minimum distance according to the system propagation characteristics; otherwise, intercellular or cochannel interference occurs. The minimum distance necessary to reduce cochannel interference is called the reuse distance. The reuse distance is defined as the ratio of the distance, D , between cells that can use the same channel without causing interference and the cell radius, R . Note that R is the distance from the center of a cell to the outermost point of the cell in cases when the cells are not circular.

Channel Allocation

  • Fixed Channel Allocation,
  • Dynamic Channel Allocation and
  • Hybrid Channel Allocation which is a combination of the first two methods.

Fixed Channel Allocation

Dynamic channel allocation.

  • First, DCA methods typically have a degree of randomness associated with them and this leads to the fact that frequency reuse is often not maximized unlike the case for FCA systems in which cells using the same channel are separated by the minimum reuse distance.
  • Secondly, DCA methods often involve complex algorithms for deciding which available channel is most efficient. These algorithms can be very computationally intensive and may require large computing resources in order to be real-time.

Hybrid Channel Allocation Schemes

The third category of channel allocation methods includes all systems that are hybrids of fixed and dynamic channel allocation systems. Several methods have been presented that fall within this category and in addition, a great deal of comparison has been made with corresponding simulations and analyses [Cox, Elnoubi, Jiang, Katzela, Yue, Zhang]. We will present several of the more developed hybrid methods below.

Channel Borrowing is one of the most straightforward hybrid allocation schemes. Here, channels are assigned to cells just as in fixed allocation schemes. If a cell needs a channel in excess of the channels previously assigned to it, that cell may borrow a channel from one of its neighboring cells given that a channel is available and use of this channel won't violate frequency reuse requirements. Note that since every channel has a predetermined relationship with a specific cell, channel borrowing (without the extensions mentioned below) is often categorized as a subclass of fixed allocation schemes. The major problem with channel borrowing is that when a cell borrows a channel from a neighboring cell, other nearby cells are prohibited from using the borrowed channel because of co-channel interference. This can lead to increased call blocking over time. To reduce this call blocking penalty, algorithms are necessary to ensure that the channels are borrowed from the most available neighboring cells; i.e., the neighboring cells with the most unassigned channels.

  • The ratio of fixed to dynamic channels varies with traffic load.
  • Nominal channels are ordered such that the first nominal channel of a cell has the highest priority of being applied to a call within the cell.

The last nominal channel is most likely to be borrowed by neighboring channels. Once a channel is borrowed, that channel is locked in the co-channel cells within the reuse distance of the cell in question. To be "locked" means that a channel can not be used or borrowed. Zhang and Yum [Zhang] presented the BDCL scheme as an improvement over the BCO method. From a frequency reuse standpoint, in a BCO system, a channel may be borrowed only if it is free in the neighboring cochannel cells. This criteria is often too strict.

  • In Borrowing with Directional Channel Locking, borrowed channels are only locked in nearby cells that are affected by the borrowing. This differs from the BCO scheme in which a borrowed channel is locked in every cell within the reuse distance. The benefit of BDCL is that more channels are available in the presence of borrowing and subsequent call blocking is reduced. A disadvantage of BDCL is that the statement "borrowed channels are only locked in nearby cells that are affected by the borrowing" requires a clear understanding of the term "affected." This may require microscopic analysis of the area in which the cellular system will be located. Ideally, a system can be general enough that detailed analysis of specific propagation measurements is not necessary for implementation.

A natural extension of channel borrowing is to set aside a portion of the channels in a system as dynamic channels with the remaining (nominal) channels being fixed to specified cells. If a cell requires an extra channel, instead of borrowing the channel from a neighboring cell, the channel is borrowed from the common "bank" of dynamic channels. An important consideration in hybrid systems of this type is the ratio of dynamic channels to fixed channels. Analysis by Cox and Reudlink [Cox - 1973] showed that given ten channels per cell, an optimum ratio was 8 fixed channels and 2 dynamic channels. In general, the optimum ratio depends upon the traffic load [Zhang]. In addition to BDCL, a second channel allocation method was presented by Yum and Zhang [Zhang]. Referred to as Locally Optimized Dynamic Assignment Strategy (LODA), this method is best described as a purely dynamic channel allocation procedure as opposed to a hybrid method. In this strategy there are no nominal channels; all channels are dynamic. When a given cell needs to accommodate a call, it chooses from among the bank of available channels according to some cost criteria. The channel with minimum cost is assigned. In a general sense, the cost is a measure of the future blocking probability in the vicinity of the cell given that the candidate channel is assigned. A more detailed description of the cost function will be addressed below.

Dynamic Channel Reassignment

Similar to the goals of dynamic channel assignment is the process of Dynamic Channel Reassignment (DCR). Whereas a DCA scheme allocates a channel to an initial call or handover , a DCR system switches a cell's channel (that is currently being used) to another channel which is closer to the optimum according to frequency reuse or other cost criteria. Thus, for example, a user communicating with channel n may be switched to channel m during the middle of her/his call if channel m is a more efficient use of the available bandwidth from a frequency reuse point of view. Philosophically, DCR is equivalent to DCA.

Simulation and Comparison of Channel Allocation Schemes

A great deal of work is available comparing various realizations of channel allocation schemes [Cox, Elnoubi, Jiang, Katzela, Yue, Zhang]. In comparing performance, typical system metrics include blocking probability of new calls and blocking probability of handover calls. These metrics are written as functions of offered traffic (where the traffic may be written in a variety of forms). It is generally assumed that a blocked new call is preferred over a blocked hand-off call. The idea being that with a blocked hand-off, users are forced to terminate communication in the middle of their session. If this blocking happens at a particularly inopportune time, the results could be disastrous (e.g., business partners cut off in the middle of a vital negotiation). In the case of a blocked new call, at least the business negotiation hasn't started and the involved parties aren't interrupted. Blocking probability is an important metric throughout the field of queueing theory and in the case of M/M/ 1 queues, the Erlang-B formula is often used for analysis of blocking probability. Because blocked calls can be very disconcerting, systems are typically designed to have blocking probabilities of no more than 1% or 2%. This is consistent with the assumption of small offered traffic loads.

Cox and Reudink were the first researchers to present published comparisons of different channel allocation schemes. Their comparison was based on simulation of an outdoor vehicular wireless communication system [Cox - 1971, Cox - 1972, Jakes]. The simulation divided a region into a grid of square cells. The movement of vehicles had a two dimensional normal distribution with 0 mean and 30 mph standard deviation in each of the two orthogonal directions. Poisson arrivals were assumed for the rate of calls per vehicle and call durations were assume to have a truncated normal distribution (truncated on the left at zero) with a "mean" 90 seconds (true mean of 103.5 seconds).

Cox and Reudink's study considered uniform and non-uniform distributions of spatial traffic. In the uniform case, all cells had approximately the same call arrival rate while in the non-uniform case, some cells had a significantly higher call arrival rate. With both the uniform and non-uniform spatial distributions, fixed channel allocation schemes were optimally matched so that the cells with the greatest numbers of calls had the greatest number of channels to deal with those calls. In both cases of uniform and non-uniform traffic, results showed that for low blocking probabilities, dynamic channel allocation schemes could handle more calls than fixed channel allocation schemes. More specifically, in the case of uniform traffic, the DCA approach outperformed the FCA approach when the blocking probability was lower than 10%. At a blocking probability of 1%, the DCA approach could handle over 10% more calls than the FCA approach. In the case of non-uniform traffic, the DCA approach outperformed FCA for blocking rates up to 60%. At a blocking rate of 1%, DCA could handle almost 70% more calls per cell than FCA. Cox and Reudink performed another comparison involving dynamic channel reassignment in [Cox - 1973]. In this hybrid procedure, the total number of available channels is broken into two groups: fixed and dynamic channels. When a cell requires a channel, it first searches for an available fixed channel that is preassigned to the cell. If none of the fixed channels are available, a dynamic channel is searched for from the common bank of dynamic channels. If this search is in vain, the call is blocked. When users who were assigned fixed channels end their calls, these freed fixed channels are then assigned to users in the same cell who are currently using dynamic channels. This frees the dynamic channel for future use and ensures that a large number of channels being used are the optimally-spaced, fixed channels. Results from Cox and Reudink's study of dynamic channel reassignment showed that channel use was increased by over 60% compared to fixed channel allocation for a blocking rate of 1%. This result corresponds to uniform offered traffic.

  • Fixed Channel Assignment (FCA),
  • Borrowing with Channel Ordering (BCO),
  • Borrowing with Directional Channel Locking (BDCL) and
  • Locally Optimized Dynamic Assignment (LODA).

With respect to uniform offered traffic, their results showed that BDCL had the lowest blocking probability followed by BCO, LODA and FCA. With non-uniform offered traffic, the relative performance of the four methods was the same with the exception that in this case, LODA performed better than BCO. It makes sense that the ordering for BDCL, BCO and FCA was as found. Indeed, BDCL was specifically designed as an improvement over BCO and BCO was designed as an improvement over FCA [Zhang, Elnoubi]. The fact that the performance of LODA varies under uniform versus non-uniform traffic is rather interesting however. The reason behind this phenomenon is that LODA provides optimal channel allocation only in local regions. Given non-uniform traffic which consists of dense regions in certain local areas, LODA will accommodate these regions of high traffic offering. However, in a global sense, the LODA algorithm will not necessarily provide the optimal allocation. With uniform offered traffic, LODA does not have any regions with peak traffic to optimize; i.e., no local regions within which the benefits of LODA can be realized. Furthermore, with respect to the entire region, the optimization is generally not optimal in a global sense. The result is that with uniform traffic, LODA does not have any advantage to offer over BCO. From the previous discussion we see that one general result of all of the comparisons is that dynamic channel allocation outperforms fixed channel allocation for low blocking rates (below 10% in most cases). Blocking rates above 1% or 2% are generally not tolerated. This is generally an accepted guideline throughout the telecommunications industry and we will adhere to this design constraint as well.

Common Principles of Channel Allocation Schemes

  • Channel allocation schemes must not violate minimum frequency reuse conditions.
  • Channel allocation schemes should adapt to changing traffic conditions.
  • Channel allocation schemes should approach (from above) the minimum frequency reuse constraints so as to efficiently utilize available transmission resources.

As the first requirement suggests, all channel allocation schemes adhere to condition 1. From a frequency reuse standpoint, a fixed channel allocation system distributes frequency (or other transmission) resources to the cells in an optimum manner; i.e., common channels are separated by the minimum frequency reuse distance. Thus, a fixed channel allocation scheme perfectly satisfies condition 3 as well. However, a fixed allocation scheme does not satisfy condition 2.

Philosophically, any dynamic channel allocation scheme will meet the requirements of all of the above three conditions to some degree. At the system architecture level dynamic channel allocation schemes may differ widely, but fundamentally, their only difference is in the degree to which they satisfy condition 3. Different DCA schemes attempt to satisfy condition 3 (in addition to conditions 1 and 2) by approaching the minimum frequency reuse constraint arbitrarily closely, and by doing so in as short a time period as possible. The above three conditions point to the fact that design of dynamic channel allocation schemes falls within the general class of optimization problems. Furthermore, since we can always assume that the available number of base stations is finite and the transmission resources will always be countable (due to FCC requirements if nothing else) then our problem can be reduced to the subclass of combinatorial optimization problems. As with all combinatorial optimization problems, there will exist a solution space and a cost function [Aarts & Korst]. A typical element of the solution space could be a particular layout of frequency channels among the base-stations. The cost function can be loosely characterized as the difference between the frequency reuse of an arbitrary solution and the frequency reuse of the optimized solution. The error associated with a non-optimized cost is realized as a future increased blocking probability or an otherwise unwarranted lack of channel availability. It is typically assumed that the solution to the wireless dynamic channel allocation problem is NP-complete [Yue, Cox - 1971]. The definition of np-completeness follows from the conjecture made in the late 1960's that there exists a class of combinatorial optimization problems of such inherent complexity that any algorithm, solving each instance of such a problem to optimality, requires a computational effort that grows superpolynomially with the size of the problem. In the case of dynamic channel allocation, the complexity is generally attributed to the required inclusion of cochannel interference in any analysis of dynamic channel allocation schemes [Yue]. The author is aware of one published article to date offering an analytical method (approximate) for calculating the performance of dynamic channel allocation [see Yue]. Recently, several approximation techniques have been proposed as methods for solving condition 3 of the dynamic channel allocation problem. In particular there has been interest in applying simulated annealing techniques [Duque-Anton] and neural network methods [Chan, Kunz, Funabiki] to dynamic channel allocation.

Channel and Base-Station Allocation Schemes

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Combinatorial Optimization

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Try you luck as a frequency assigner in the Dynamic Channel Allocation game .

JPL's Wireless Communication Reference Website � John S. Davis, II and 1993, 1995.

Channel Assignment Techniques

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Channel assignment techniques are used extensively in frequency reuse systems to assign time-frequency resources to each user. There are many methods of allocating a channel upon a new call arrival or handoff attempt. A good channel allocation algorithm is the one that yields high spectral efficiency for a specified quality of service (including link quality, probability of new call blocking, and the probability of forced termination) and given degree of computational complexity and decentralization of control. It keeps the planned cell boundaries intact, allocates a channel to a MS quickly, maintains the best service quality for the MS at any instant, and relieves undesired network congestion. This chapter first discusses basic channel assignment techniques, then presents the details of some techniques. These include centralized dynamic channel assignment techniques such as the optimal maximum packing scheme. Afterwards, decentralized and fully decentralized dynamic channel assignment techniques are discussed. Borrowing schemes are discussed as well, where radio resources from neighboring cells can be borrowed to improve spectral efficiency and performance. The chapter goes on to discuss directed retry and moving direction based handoff schemes. The chapter concludes with some examples of dynamic channel assignment schemes for TDMA based cellular systems.

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Handover and Channel Assignment in Mobile Cellular Networks

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Overview/Main Points

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MGTS Moscow City Telephone Network

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Moscow City Telephone Network OJSC is one of the largest local wire communication companies in Europe . MGTS is part of the telecommunications business direction of AFK Sistema and is part of the Komstar-OTS group of companies. The operator serves more than 4.3 million subscribers, including 3.6 million - individuals.

There are 527 telephone exchanges on the MGTS network. The company's payphone network today has about 7 thousand devices. The share of the main telephones of MGTS in the Moscow fixed-line market is 77.2%, the share in the market of private users is 97.8%. Tariffs for the main service - local telephone connections - are regulated by the state.

Since 2004, MGTS has been carrying out a large-scale reconstruction of the network, which will be completed in 2012. The company's network will be completely digital. Now the digitalization of the MGTS network is about 50%, and by the end of 2007 it will reach, according to forecasts, 54%. Every year, the company puts into operation more than 500 thousand rooms, most of which are used to replace obsolete equipment.

Board of Directors

Main article: MGTS Board of Directors

Composition of June 2018

Dmitriev Kirill Alexandrovich - Chairman of the Board of Directors, Vice President of Sales and Services of MTS PJSC.

The Board of Directors on June 22, 2018 also included:

  • Ershov Andrei Viktorovich - Advisor to the President of MTS
  • Kamensky Andrei Mikhailovich - Vice President of Finance, Investments, Mergers and Acquisitions of MTS
  • Kornya Alexey Valerievich - President of MTS
  • Nikolaev Vyacheslav Konstantinovich - Vice President of MTS Marketing
  • Sergey Plotnikov - Director of the MTS Business Market Department
  • Ushatsky Andrey Eduardovich - Vice President of MTS Technology and IT
  • Khrenkov Vladimir Vladimirovich - Director of the MTS Innovation Center
  • Shorzhin Valery Viktorovich - Vice President of Procurement and Administrative Affairs of MTS
  • Baklykov Andrey - since January 2010, IT Director of MGTS.
  • Lebedev Vladimir - since June 2009, Deputy General Director, Technical Director of MGTS.
  • Medvedev Dmitry - head of the joint directorate of information and reference services MGTS, develops services 09 and 009. "Medvedev is now engaged in one of the company's strategic projects," said a CNews source at MGTS. - Pooling of resources of help-desk, single contact center, technical support, central repair office, etc. More than 10 services should become unified, which are now located on different Moscow sites. " Until December 2009, Dmitry Medvedev served as IT Director of MGTS.

Performance indicators

Main article: MGTS financial indicators

2020: Revenue growth to 41.16 billion rubles, profit - 12.95 billion rubles

MGTS finished 2020 with revenue in the amount of 41.16 billion rubles received following the results of work in this 12-month period. In 2019, the indicator was measured at 39.73 billion rubles.

In the direction of B2C services, the revenues of the telecommunications operator have practically not changed and amounted to about 19.49 billion rubles in 2020. Most of this amount (9.15 billion rubles) came from the sale of fixed telephony services. In 2019, the company's revenue in this market reached 9.87 billion rubles.

Revenues from mobile communication services to individuals in 2020 increased to 2.15 billion rubles from 1.93 billion rubles a year earlier. The provision of broadband services to private users brought the company 6.57 billion rubles, which exceeds the 2019 result of 6.24 billion rubles.

cellular networks channel assignment

MGTS revenue from the provision of services to legal entities in 2020 decreased to 3.49 billion rubles from 4.02 billion rubles a year earlier. Sales of fixed telephony services decreased from 1.62 billion to 1.46 billion rubles. In the B2B segment of broadband access on the Internet, a decrease in revenues from 1.11 to 1.03 billion dollars was registered.

In the B2G category (services to budget organizations), MGTS revenues in 2020 decreased to 2.21 billion rubles from 2.5 billion rubles in 2019. Fixed telephony services to such customers added about 1.62 billion rubles to the company's revenue, and 1.7 billion rubles in 2019. The second largest source of income in this segment was video surveillance services, on which the operator earned 248 million rubles in 2020.

MGTS revenue from the provision of services to telecom operators in 2020 reached 5.94 billion rubles, which is significantly more than a year earlier (4.27 billion rubles).

In 2020, MGTS net profit amounted to 12.95 billion rubles against 15.52 billion rubles in profit a year earlier. [1]

Albert Gilmanov - the new general director of MGTS

On August 11, 2021, MGTS announced the appointment of Albert Gilmanov as the new CEO of the company. He replaced Vladislav Medvedev , who led the telecommunications operator since November 2019. More details here .

Start installing sensors on cable protection hatches, investing 1 billion rubles in the project

At the end of May 2021, MGTS began to put wireless sensors on the hatches to protect the cable network. The company intends to extend this technology to 50-75 thousand hatches out of 150 thousand available from the telecom operator.

According to Vedomosti , the representative of the controlling MGTS Mobile Television Systems ( MTS) Alexei Merkutov, testing the access control system in its cable sewer proved its effectiveness: it ensured a quick response by the company's security service, thanks to which the number of cable thefts decreased by 42%, and the number of acts of vandalism, accompanied by damaging communication lines, decreased by 27%.

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MGTS did not disclose the costs of this project. A Vedomosti source close to the company says that it took 400 million rubles to create the system alone, and by 2023 the operator can spend more than 1 billion rubles to protect cable sewers. Another source of the publication, close to MTS, says that the scale of the project is planned to be clarified during 2021.

The use of the system will also prevent the illegal laying of cable in the sewers of MGTS, explains Alexey Merkutov. Installed sensors can be used in other areas of the urban economy, for example, to detect open wells or those on which the covers are not completely closed. This will reduce the number of pedestrian injuries and accidents.

Earlier, MTS tested the Digital Water Utility solution in the Samara Region, in which sewage hatches for water supply and drainage of the city were equipped with sensors. If the hatch is damaged or deviated from the fixed position by more than 3 °, the sensor sends an alert to the employee of the organization, after which the team leaves to check the hatch. Sensors installed on hatch covers operate in the frequency range of the NB-IoT standard for the Internet of Things [2]

2020: MGTS brand will disappear

On January 16, 2020, it became known that MTS had completed the restructuring of the Moscow business in the field of mobile and fixed-line services, as a result of which it began to develop under single management. The MGTS brand will gradually disappear, under which MTS provided wired Internet services.

According to "Kommersant" MTS, on January 15, 2020, an advertising campaign was launched that uses a symbolic image of an egg in the corporate colors of operators - blue (MGTS) and red (MTS), as well as two logos at once - MGTS and MTS Home. Also in the advertisement will be promoted a new promotional package, which includes home Internet, TV and subscription to. online cinema ivi

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He also noted that the operator will offer subscribers the opportunity to pay for fixed and mobile services with a single account, a single personal account and an ID for the My MTS mobile application.

Creating a single brand is a logical step for MTS, said Konstantin Ankilov , general director of TMT Consulting . MGTS has been dealing with a reduction in the number of landline phone users for quite some time, which is happening throughout the country while maintaining demand among the older generation, says TelecomScienceCEO Denis Kuskov . In his opinion, combining brands and personal offices will allow the company to increase subscriber loyalty.

Among the services that can be combined with MTS, in addition to the fixed Internet and TV, there may be video surveillance services, smart intercom phones, etc ., which now offset the costs of MGTS for preserving fixed telephony, Kuskov believes. [3]

Appointment of Vladislav Medvedev as MGTS Director General

On November 28, 2019, the Moscow City Telephone Network company announced the appointment of Vladislav Medvedev , General Director of MGTS PJSC, from November 29, 2019, who, since October 2019, concurrently held the position of Executive Director of MGTS PJSC, answering for the technical unit of the Moscow region of MTS PJSC . More details here .

Installation of charging stations for electric vehicles in Moscow

At the end of October 2019, it became known that MGTS was starting the installation of charging stations for electric vehicles in Moscow .

As reported in a press release received by TAdviser from MTS (owns MGTS), by November 20, 2019 it is planned to launch 10 electric stations. Seven of them will have a power of 50 kW and charge batteries of electric cars in 20-30 minutes, and the remaining three with a power of 22 kW - in 4-5 hours. The equipment will be located between the TransTeleCom and the Moscow Ring Road.

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As explained in the company, MGTS has a wide network of PBXs, in which energy-intensive equipment was located for a long time. After the network upgrade and the transition to GPON technology, the volume of this equipment decreased, and, accordingly, its energy consumption decreased. This allows the ISP to use the supply of energy for the development of new business areas, including the power supply network.

The pilot project takes place in several areas, including the demand for the service, its effectiveness and the possibility of transferring MGTS corporate vehicles to electric.

During the experiment, electric vehicle charging is free for car owners. Once the technical aspects of supporting the ESD network have been worked out, MGTS will decide on the further development of the project.

According to the MGTS forecast, published at the end of October 2019, in 4-5 years the fleet of electric cars in Moscow may amount to about 20 thousand units, more than 1000 high-speed charging stations will be required to charge them.

In the summer of 2019, the mayor Moscow Sergey Sobyanin announced his intention from 2021 to abandon the purchase of buses powered by motor fuel and switch to purchases of domestic electric. transport Then about 300 such cars worked in Moscow, in the future it is planned to purchase 300 cars annually.

Pavel Kuznetsov appointed vice-president of MTS and general director of MGTS concurrently

Since September 16, 2019, Pavel Kuznetsov combines the post of general director of MGTS with his work as vice president - director of the Moscow region of MTS . This decision was made by the MGTS Board of Directors on September 13, 2019. More details here .

The appointment is associated with the functional association of MGTS and MTS in the Moscow telecom market . It is assumed that the solution will create a strong team for the implementation of projects in the field of high technologies and digital services in the Moscow region, which is most important for the MTS Group.

Nikolai Pozhidaev appointed financial director of MGTS

On June 4, 2019, the Moscow City Telephone Network (part of the MTS group) announced the appointment of Nikolai Pozhidaev as financial director, member of the company's Management Board. More details here.

Olga Belousova , who previously headed the MGTS financial unit, continued her career as financial director of the pharmaceutical holding JSC FP Obolenskoye.

23.5% increase in net profit

According to the announced MGTS financial and operational results of 2018, the company's revenue under RAS decreased slightly (minus 0.5%) and amounted to 38.7 billion rubles, which became known on April 4, 2019. Net profit at the same time increased by 23.5% - to 19.6 billion rubles. Net profit margin exceeded 50.7%. The subscriber base for all services increased by 5%, exceeding 5.5 million, which is the third indicator in the Russian fixed market. communications

The share of revenue from services unregulated by the state , including such as broadband , digital TV and other services provided to both private and corporate clients, in the total income structure exceeded 61%. The total revenue from unregulated services amounted to 23.8 billion rubles. In turn, the company's revenues in the consumer market grew by 4%, exceeding 19 billion rubles, and revenues from the provision of digital services grew faster - by 23%, to 8.1 billion rubles.

MGTS demonstrated the highest growth rates in the MVNO market (providing mobile communications according to the virtual model) - revenues from this line of business almost doubled and amounted to 1.437 billion rubles, exceeding revenues from pay TV services. By the end of 2018, the number of MGTS mobile users amounted to more than 480 thousand subscribers, an increase of more than 50%.

At the same time, revenue from broadband Internet services in the mass market, according to the MGTS report, increased by 12%, to 4.9 billion rubles. MGTS maintained a high rate of broadband connections in the stagnating market, increasing the number of Internet subscribers by 11% over the year, which significantly exceeds the growth rate of the market itself. Revenues from the provision of digital TV services reached 1.4 billion rubles. (+ 23%), the subscriber base exceeded 620 thousand customers, an increase of 16.5%.

In the corporate segment, according to the report, MGTS revenue remained at the same level and amounted to 8.2 billion rubles. In the broadband access market for B2B customers, revenue increased by 22%, exceeding 1 billion rubles. The number of BD connections for the year increased by 15.3%

As for the profit from the sales of MGTS, it grew by 22.9% - to 10.1 billion rubles. While the cost of the company decreased by 5.3% to 22.1 billion rubles, and management costs - by 16% - to 4 billion rubles. Other company revenues amounted to 12.5 billion rubles. (an increase of 17.8%), of which 7.7 billion rubles. received in the form of dividends from subsidiaries.

MGTS commercial director Alexei Nazarov commented on the results of the company in 2018 as follows:

Speaking about the growth of indicators at the MGTS MVNO project, Alexey Nazarov said:

Free distribution of Internet of Things-enabled routers

In December 2018, it became known about the intentions of MGTS to provide subscribers with routers with Internet of Things support. The operator will spend 1.4 billion rubles on the purchase of equipment.

As the representative of MGTS Tatyana Martyanova told Vedomosti , the company will distribute about 550 thousand routers at the beginning of 2019. Subscribers will be able to get devices free of charge when connecting a tariff that assumes a data rate of 200 Mbps. By December 10, 2018, MGTS has about one third of such customers with a total database of broadband Internet access subscribers of 1.5 million.

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MGTS will offer routers with support for the ZigBee protocol , which is popular among manufacturers of devices for a smart home . Thanks to the new routers, users will be able to connect various third-party modules to them. Users will be able to buy sensors and set up routers on their own, but perhaps the operator will offer them sensors complete with a setup service, Natalia Bizhanova , director of marketing and product development at MGTS, told the publication.

Meanwhile, VimpelCom notes a weak interest in smart home systems in Russia . The operator himself installed throughout Russia more than 100 thousand devices with support for ZigBee.

In 2017, MegaFon sold about 40 thousand sets of systems for a smart home. Since 2017, Rostelecom has been selling smart home kits, but the operator does not disclose the number of devices sold.

Since the beginning of 2018, MGTS has been providing a smart house for rent. With this solution, users can remotely configure and perform basic housing management actions: automatically turn on and off electrical appliances and lighting, control electricity when the sensors open the door, movement, smoke or leakage of water supply systems. The complex is designed to increase the level of safety and comfort, prevent emergency situations, save energy resources. [5]

Sales and Service Block Assignments

"Moscow City Telephone Network" - a fixed-line operator in Europe , part of the MTS group - on August 14, 2018 announced appointments in the sales and service unit: Pyotr Lepyokhin was appointed director of the sales department, Ilya Emelin was appointed director of the customer service department.

Appointments: MGTS General Director - Pavel Kuznetsov, Chairman of the Board of Directors - Kirill Dmitriev

On June 1, 2018, by a decision of the Board of Directors of MGTS PJSC, Pavel Kuznetsov was appointed Director General of the Moscow City Telephone Network Company (part of the MTS Group). The decision on the appointment was made during a meeting of members of the Board of Directors, which took place on May 31, 2018. In this post, he replaced Andrei Ershov. More details here.

Vice President MTS of Sales and Services was appointed Chairman of the Board of Directors of MGTS PJSC. Kirill Dmitriev

2016: MGTS fined 562.5 thousand rubles for various tariffs on infrastructure

For violation of the law on the protection of competition, the MGTS telecom operator must pay a 562.5 thousand rubles fine. Such an amount was appointed by employees of the Federal Antimonopoly Service ( FAS) for setting different tariffs for the services of providing seats in line-cable communication facilities for companies financed and not financed from the state budget. This is stated on the website [6] the department of Moscow MGTS [7]

As the FAS managed to find out, in some cases the cost of the tariff for budget organizations was 40% higher than the cost of a similar tariff for non-budget ones. And this despite the fact that the cost of such services for both parties includes the same costs.

As Oleg Korneev, deputy head of the Moscow OFAS of Russia , noted, "the law provides for a ban on the establishment by a person in a dominant position of different prices for the same goods."

Purchase of 1.1 million routers

On December 7, 2015, it became known about MGTS plans to acquire more than 1 million routers for connecting to the Internet through the GPON optical network (gigabit passive optical networks - the standard implies laying fiber in each apartment). More details here .

"Computer assistance" to corporate users

On December 8, 2015, the Moscow City Telephone Network announced the launch of the Computer Assistance service for corporate customers.

According to the company's statement, using the MGTS service, small businesses can get modern telecom services, optimize administrative and IT costs.

The list of "Computer Assistance" services includes work on diagnostics, prevention and repair of office equipment and IT equipment, installation and configuration of software (operating systems, antivirus, etc.). Maintenance equipment includes computers, printers and multifunctional and network devices (routers, plotters, Wi-Fi access points) and cable network infrastructure. The service is provided by MGTS employees.

Enterprise customers can use the service as needed or enter into an agreement for regular IT support. Depending on the amount of equipment serviced, the cost of permanent service support is from 1 thousand rubles. up to 4 thousand rubles. per month. The contract includes from one to three preventive visits, during which MGTS specialists will perform network diagnostics (checking the network infrastructure and the correctness of equipment connection), update anti-virus databases and configure the connection of newly installed computers at the subscriber.

The service is provided to the company's active broadband clients . The service is aimed at small and medium-sized businesses in various areas of activity with the number of IT equipment in operation up to 20 units.

Dmitry Kulakovsky , MGTS Marketing and Product Development Director, said:

- In accordance with the Digital Office concept, we offer our corporate customers not only modern telecom services, but also full technical support for equipment and networks. The launch of Computer Assistance was a logical continuation of our strategy to support small businesses through the use of expertise from MGTS IT specialists. At the same time, our customers get a reliable service and the opportunity to save up to 50% of the cost of their own IT staff. We are confident that the new service will be in demand, as it allows you to increase the reliability of IT systems and, as a result, the effectiveness of the entire business.

2014: Implementation of fiber optic links using GPON technology

The technology GPON (Gigabit-capable passive optical network) allows one optical cable spent in the apartment to provide the subscriber with modern digital telephone communication, digital TV, high-speed Internet access at a data rate of up to 1 Gb/s. MGTS in 2011 began the modernization of the communication network Moscow in terms of replacing the outdated copper network infrastructure with a high-quality GPON optical network. In 2014, more than 4.4 million apartments will receive the technical ability to connect to a modern fiber optic network. In 2015, the switching of subscribers from copper to optical lines will be completed. The cost of the entire project of introducing "optics" is about 2 billion. dollars The GPON transport network will also become the basis for the introduction To Moscow of the LTE standard in the fourth generation wireless network. Thus, Moscow will create a unique network infrastructure for high-speed data transmission: in both fixed and wireless networks.

In July 2014, MGTS announced an increase in the number of enterprises in the small and medium-sized business segment that connected the broadband Internet access service by 36% in the first half of 2014. Over the year, the number of users of such MGTS services among small enterprises in Moscow doubled.

The main drivers of the growth of the number of customers in the B2B segment were the increase in the length of the new network infrastructure based on GPON technology, which currently covers more than 70% of Moscow, and the emergence of segmented package offerings for the corporate segment. More than 90% of companies that connected the Internet in the first half of 2014 chose special tariffs for small businesses. Of these, more than 50% of customers chose packages from two or more services - Double and Triple Play.

MGTS offers a wide range of tariffs for companies in the corporate sector, including special offers for small businesses. For example, the Triple Play service package for microenterprises, which includes wired broadband Internet using GPON technology, the basic Digital Television package and unlimited telephony. The package proposal from MGTS will allow entrepreneurs to organize electronic document management, automate work with customers, establish operational interaction between departments and effectively control business processes .

"The use of integrated telecommunications solutions enables small business entrepreneurs and executives to optimize their business processes by receiving a service from one supplier at competitive prices. The growth that MGTS demonstrated in the first half of 2014 confirms the correctness of the chosen strategy for the development of package offers and will allow the company to increase market share in the small and medium-sized business segment to 25% by 2016, "said Dmitry Kulakovsky , Director of Marketing and Product Development of MGTS OJSC.

Komstar-OTS owns a 29% stake in MGTS

As of December 20, 2012, Komstar-United Telesystems owned 29% of the shares in the Moscow City Telephone Network company.

Switch to ten-digit numbers

2012 - the beginning of the industrial introduction of PON technology. Switch to ten-digit numbers

Number of Internet users - 469 thousand customers

The number of Internet users of MGTS increased by 26 percent - to 469 thousand customers in the second quarter of 2012, compared to 373.5 thousand customers in the second quarter of 2011. The increase in the number of MGTS Internet users is due to the company's marketing policy aimed at increasing the speed of Internet access and reducing the cost of the service while maintaining the high quality of service. The share of new subscribers connecting to 6 Mbit/s and higher rates increased to 75 per cent by the end of June 2012, compared with 45 per cent in the second half of 2011. In addition, every month about 3 thousand valid MGTS subscribers switch to faster tariff plans.

"MGTS continues to improve the quality and availability of Internet service from MGTS for subscribers. The company offers a democratic line of tariffs with Internet access speeds of up to 20 Mbps using ADSL technology and up to 200 Mbps using GPON technology at affordable prices to meet the demand of various categories of users. With the development of the GPON fiber-optic network, MGTS will be able to offer more residents of Moscow maximum speeds of Internet access at competitive prices, as well as expand the number of services that a subscriber will be able to receive one optical cable per apartment. At the same time, the use of a wide range of services on one optical channel, such as high-definition television, digital telephony, telemetry and a number of other interactive services, will not affect the quality of Internet access, "said Roman Plachenko , Director of Marketing and Business Development at MGTS

In December 2012, the number of Internet users from MGTS increased by 23% compared to December 2011 and exceeded 510 thousand subscribers. According to GPON optical technology, 200 thousand subscribers were connected at the end of the year. The total number of fixed telephony subscribers of MGTS remained stable and at the end of 2012 amounted to 4.4 million numbers.

Construction of a new optical network

In 2012, it marked the 10th anniversary of the launch of the MGTS broadband data network. The copper pair connection made it possible to provide access to the global network with a simultaneous telephone on the existing telephone line. The first subscribers of the network were customers of the corporate segment and private premium users. In 2005, the provision of home Internet for MGTS subscribers began.

By the end of 2012, MGTS will provide technical connectivity to the optical network for 1.7 million Moscow households, in 2013 - for 3.4 million households, and in 2014 the installed capacity of the network will be 4.4 million ports. The connection of subscribers to the optical network will be carried out in stages until 2015, and the dismantling of the old infrastructure - copper cables is planned for 2016-2017 years.

The construction of a new optical network will reduce the costs of the MTS group for the operational deployment of LTE networks in Moscow and ensure the maximum data transfer speed for the Moscow market in fourth-generation networks. As part of the project, the MTS Group will build about 15,000 km of VOLS throughout Moscow. MTS plans to use the fiber-optic network deployed in the capital to connect base stations - already in 2012, a transport infrastructure will be created that will allow transferring most MTS base stations in Moscow to IP technologies by the end of the year. Developing two of the most advanced data networks at the same time, the MTS group will be able to create a unique network infrastructure for high-speed data transmission in Moscow: for both fixed and wireless networks.

2011: MGTS network became 100% digital

In 2011, the MGTS network became 100% digital.

In May 2011, the company launched a project in Moscow to reconstruct the copper infrastructure to fiber-optic based on GPON technology (Gigabit-capable passive optical network). The modernization of the subscriber line according to "optics" changes the priority of services: together with the replacement of the copper telephone line with optical MGTS, it mass installs access to the Internet and digital television. An optical network using GPON technology already allows you to provide broadband Internet access services at speeds of up to 200 Mbps. Upon completion of the network construction, video surveillance , fire alarm, telemetry and other interactive services will be available to subscribers.

2010: Sistema changes Sky Link shares to Svyazinvest's stake in MGTS

On May 5, 2010, Vladimir Putin signed Order No. 672-r that the Government agrees to alienate OJSC Svyazinvest's 22,352,150 ordinary registered shares of OJSC Moscow City Telephone Communications (MGTS), which constitute 23.3% of its authorized capital, by exchanging them for 6,482,736 ordinary registered shares of ZAO Sky Link, the authorized capital, which constitutes 50% of its authorized capital.

The government agreed to give MGTS shares in exchange for Sky Link shares, provided that Sistema pays an additional difference at a price not lower than the market price determined on the basis of the report of the independent assessor.

Ernst & Young estimated 100% of Sky Link at 9.4 billion rubles, and 23.3% of MGTS at 9.7 billion rubles. Thus, Sistema was supposed to pay Svyazinvest 300 million rubles.

The order signed by the prime minister on the transfer of MGTS shares to Sistema actually gives the green light to two mega-deals in the Russian telecommunications market: the exchange of telecommunications assets between Sistema and Svyazinvest OJSC and the reorganization of Svyazinvest itself by creating a "national champion" on the basis of Rostelecom OJSC.

The asset exchange transaction scheme assumes that Komstar-OTS OJSC (controlled by Sistema AFK) returns a 25% stake plus one share of Svyazinvest OJSC to the state. In return, Komstar's debt to Sberbank in the amount of 26 billion rubles. takes on Vnesheconombank (VEB). In addition, Svyazinvest gives Komstar a 23.3% stake in MGTS. To compensate Svyazinvest for the difference between the value of the MGTS package transferred to Komstar and the value of the Svyazinvest stake plus the amount of debt "forgiven" to Komstar, AFK Sistema transfers 100% of the mobile operator Sky Link CJSC to Svyazinvest structures.

The Moscow City Telephone Network was at the origin of the creation of Moscow's telecommunications infrastructure with the advent of the first 800-number telephone exchange, when the subscription fee per year was several times more expensive than a beautiful fur coat. The company, together with Muscovites, survived the adversity of the revolution, the siege during the Great Patriotic War, constantly remaining on guard of the capital's communications. MGTS was the technological partner of the city in the post-war period, when Moscow was actively growing, connecting several hundred thousand subscribers a year, and during major international events. In the new economic conditions of the 90s, MGTS managed to rebuild and prepare for the boom of Internet technologies.

  • 1882 - July 13, the first manual telephone exchange of the Gileland system of the Bell company on the Kuznetsk bridge, 6 (the house of the merchant Popov), was opened.
  • The most modern in Europe . 1902 - In Milyutinsky Lane, the laying of the Central Bank RTS building took place. The construction of the main sewage system has begun.
  • The first automatic. 1930 - The first in Moscow Zamoskvoretskaya ATS B1 (8 thousand numbers), Bauman ATS E1 (7 thousand numbers) entered into operation.
  • The first decade. 1948 - Construction of new decadal-step PBXs B3, B8 and B9 began.
  • The first seven-digit. 1968 - The entire network was transferred to a single seven-digit numbering. Switching of 625,000 numbers took place simultaneously.
  • First computational. 1978 - Computer-based computing center put into operation.
  • First broadband. 2002 - Completion of the Public Broadband Data Network (PDP OP).
  • Time - combined - subscriber. 2007 - The procedure for providing services has been changed, three tariff plans have been introduced
  • ↑ MGTS financial statements for 2020
  • ↑ Sewer hatches will be equipped with penetration sensors
  • ↑ The letter fell out of MGTS
  • ↑ MGTS showed high rates of mobile growth
  • ↑ MGTS will distribute routers with Internet of Things support to subscribers for free
  • ↑ of PJSC MGTS fined half a million rubles for setting different tariffs for the use of communication collectors of
  • ↑ was fined 562.5 thousand rubles for different tariffs for infrastructure.

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MOSCOW TOPOGRAPHY

Moscow Rings Map

Moscow has developed in circles around the original historical center. Today, Muscovites divide their city into four road rings. The first one, Bulvarnoye Koltso (Boulevard Ring), contains the very center of the city, the Kremlin, as well as the Red Square and some other tourist attractions. The second ring road draws a circle with a diameter of around five kilometers around the Kremlin and covers what is considered the city center. The area is referred to as  Sadovoye koltso , the Garden Ring. The Third Transport Ring ( TTK ) is a high-speed freeway. The fourth ring is enclosed by the Moscow Automobile Ring Road ( MKAD ). The MKAD is the official city boundary, although there are huge areas outside the ring that are also officially part of the city area.

MOSCOW CLIMATE

December: -10 °C January: -10 °C February: -15 °C

March: -1 °C April: 5 °C May: 14 °C

June: 17 °C July: 20 °C August: 19 °C

September: 10 °C October: 5 °C November: -1 °C

Winter in Moscow usually goes by with lack of sunshine and the long dark nights. The first snow usually appears in the middle of November, but the most snowy months are January and February.

UTILITIES IN RUSSIA

Mains are Europlug (two-pole), voltage is 220V and frequency is 50Hz. Total bills for building maintenance, electricity, gas, water and telephone services are around 6000 rubles (€60.24) per month. All bills can be paid via internet.

MOSCOW PUBLIC TRANSPORT

cellular networks channel assignment

In Moscow, the main forms of public transport are metro, bus and trolleybus. The Metro stations are renowned for their elegant and grand decor, and the Metro services are frequent and efficient, but during the daytime stations and trains are usually overcrowded. Choose first or last coaches since they are often less crowded. Passes for one or two trips can be purchased via ticket machines (cash and coins only). Tickets cost about 55 rubles (€0.55) for one journey. Tickets are valid at the Metro, bus, trolleybus, tram and monorail. It is better to purchase multi-ride pass, using it is more profitable.

-> Read our main articles about surface public transport and Moscow Metro

MOSCOW TAXI

Uber is available in Moscow as it’s local competitors: Gett , Yandex.Taxi (local leader) or Wheely (use a promo code “WEHEARTMOSCOW” to get 1000 rubles (€10.04) discount at your first Wheely ride). All of them provide iOS and Android apps allowing to order a cab using an online map of Moscow.

-> Read our main article about taxi in Moscow

RUSSIAN MOBILE OPERATORS

There are four major mobile-network providers in Moscow: Beeline , MTS , MegaFon and TELE2 , offering similar services and coverage. 15Gb 3G/LTE data plan costs about 600 rubles (€6.02) per month. Prepaid or contract micro-SIM and nano-SIM cards are available in almost every provider store.

cellular networks channel assignment

ENGLISH-LANGUAGE PRESS IN MOSCOW

The Moscow Times

Le Courrier de Russie

TV IN MOSCOW

cellular networks channel assignment

Major TV-providers in Moscow are Rostelecom (default in-flat provider), Beeline (Microsoft Mediaroom platform), NTV Plus (official broadcaster of Russian Football Championship) and MGTS . All of them offer wide range of different language channels including BBC World News, CNN International, France 24, Deutsche Welle, Russia Today and others. Some sport events are available for watching online at Match TV site (HD available).

FM RADIO IN MOSCOW

Jazz: Radio Jazz (89.1 FM) Pop: Europa Plus (106.2 FM), Love Radio (106.6 FM), Chocolate (98.0 FM) Rock: Maximum (103.7 FM), ROCK FM (95.2 FM) Electronic: Megapolis FM (89.5 FM) English-language: Capital FM (105.3 FM)

Most stations are streaming online at MOSKVA.FM .

INTERNET AT HOME IN MOSCOW

Major internet providers in Moscow are Rostelecom (Ethernet), MGTS (PON) and Beeline  (Ethernet or LTE). Average price for fast 60 Mbps internet is 400 rubles (€4.02) per month.

BANKING IN RUSSIA

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ATMs are available in almost every street. Most provide 24 hour access. Largest banks are Sberbank , Alfa-Bank and Raiffeisen Bank . Also, Tinkoff bank has grew up in recent years.

PLAN YOUR TRIP WITH US

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Happy to help you with everything, from general plan of your visit to plane tickets or hotel stay. We may also support your Russian Visa request with a letter of invitation if you need so.

SEE OUR TOURS

Tverskaya Street in Moscow

We host around 60 tours every month in English, Russian, German, Italian, Spanish, Arabic and other languages. All of our tours =>

SAVE THIS LINK

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If you only started to think about visiting Moscow, just save our site in your browser’s bookmarks or follow us on Facebook and Instagram to be in touch.

Our Private Tours in Moscow

All-in-one moscow essential private tour, moscow metro & stalin skyscrapers private tour, moscow art & design private tour, soviet moscow historical & heritage private tour, gastronomic moscow private tour, «day two» moscow private tour, layover in moscow tailor-made private tour, whole day in moscow private tour, tour guide jobs →.

Every year we host more and more private tours in English, Russian and other languages for travelers from all over the world. They need best service, amazing stories and deep history knowledge. If you want to become our guide, please write us.

Contact Info

+7 495 166-72-69

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IMAGES

  1. (PDF) Channel Assignment in Multihop Cellular Networks

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  2. PPT

    cellular networks channel assignment

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    cellular networks channel assignment

  5. A D2D underlaid cellular networks and two illustrative examples of the

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  6. Cellular Network Architecture Diagram

    cellular networks channel assignment

VIDEO

  1. YouTube Channel assignment for Intro to computers ELAC 2024

  2. Wireless Cellular and Communication, ASSIGNMENT 1

  3. Module 6: 3G and LTE

  4. Co-channel &Adjacent Channel Interference, Cellular Networks,[Mobile Network Planning, Optimization]

  5. NPTEL Advanced Computer Networks Week 5: Assignment 5 (Jan-Apr 2024)#subscribe #like #comment

  6. Optical Wireless Communications for Beyond 5G Networks and IoT NPTEL Week 6 Assignment Solution

COMMENTS

  1. Handover and channel assignment in mobile cellular networks

    A taxonomy of channel assignment strategies is provided, and the complexity in each cellular component is discussed. Various handover scenarios and the roles of the base station and the mobile switching center are considered. Prioritization schemes are discussed, and the required intelligence distribution among the network components is defined.

  2. Channel Allocation Strategies in Computer Network

    Dynamic Channel Allocation (DCA): Dynamic Channel allocation is a strategy in which channels are not permanently allocated to the cells. When a User makes a call request then Base Station (BS) send that request to the Mobile Station Center (MSC) for the allocation of channels or voice channels. This way the likelihood of blocking calls is reduced.

  3. Channel Allocation

    Channel allocation deals with the allocation of channels to cells in a cellular network. Once the channels are allocated, cells may then allow users within the cell to communicate via the available channels. ... [12] Kunz, D., "Channel Assignment for Cellular Radio Using Neural Networks," IEEE Transactions on Vehicular Technology, vol. 40, no ...

  4. Handover and channel assignment in mobile cellular networks

    A taxonomy of channel assignment strategies is provided, and the complexity in each cellular component is discussed. Various handover scenarios and the roles of the base station and the mobile switching center are considered. Prioritization schemes are discussed, and the required intelligence distribution among the network components is defined.< >

  5. PDF CHANNEL ASSIGNMENT TECHNIQUES

    properties, the channel assignment problem in micro cellular and macro cellular networks is fundamentally different. The uneven nature of the traffic and the 555 ... to serve all calls in a network with the minimum number of channels. Equipped with the capability, MP can yield the lowest new call blocking and forced ter­ ...

  6. PDF Evaluation of a channel assignment scheme in mobile network systems

    The proposed scheme. The assignment of channels to cells or mobile devices is one of the fundamental resource management issues in a mobile communication system as it involves different cellular components, handover scenarios, and the complex roles of the base station (BS) and the mobile switching center (MSC).

  7. PDF A Graph Theoretic Approach for Channel Assignment in Cellular Networks

    cellular network structure of a mobile communication sys-tem. The problem is recast as a cellular channel assignment problem on a fixed graph with variations over time incorpo-rated as changes of weight on selected graph edges. 2.2. Regular cellular networks and cellular assignment graphs The traditional representation of a cellular communication

  8. A Graph Theoretic Approach for Channel Assignment in Cellular Networks

    We define a cellular assignment graph to model the channel assignment problem in a cellular network where overlapping cell segments are included in the model. Our main result is the Capacity-Demand Theorem which shows a channel assignment function is always possible unless there is a connected subregion of cells and overlap segments containing more channel requests then the total capacity of ...

  9. Graph-Partition Based Fast Channel Assignment in Cellular Networks

    Channel assignment remains an important issue in cellular networks due to the limited frequency resource. In this paper, we study the Minimum Span Channel Assignment Problem (MS-CAP) in hexagonal cellular networks with k-band buffering restriction, where channel interference does not extend beyond k cells. The objective of MS- CAP is to minimize the max- imum frequency index used for accepting ...

  10. A graph theoretic approach for channel assignment in cellular networks

    We define a cellular assignment graph to model the channel assignment problem in a cellular network where overlapping cell segments are included in the model. Our main result is the Capacity-Demand Theorem which shows a channel assignment function is ...

  11. Channel assignment in mobile wireless cellular networks

    Sa Liu, Karen Daniels and Kavitha Chandra, "Channel Assignment for Time Varying Demand", Proceedings of GLOBECOM'01, p3563-3567, 2001. Google Scholar; Junyi Li, Ness B. Shroff and Edwin K.P Chong, "A new localized channel sharing scheme for cellular networks", ACM/Baltzer Wireless Networks, 5(6):503- 517, 1999. Google Scholar Digital Library

  12. Channel assignment schemes for cellular mobile telecommunication

    A dynamic channel assignment algorithm for cellular systems, i.e., all-channel concentric allocation (ACCA), is proposed, and its performance is evaluated by computer simulation, which shows that system capacity is improved by a factor of 2.5 compared to conventional fixed channel assignment. Expand

  13. PDF An Optimized Channel Assignment Strategy For Wireless Cellular Networks

    This paper presents an algorithm for channel assignment problem in wireless cellular networks. This algorithm is based on directional channel locking strategy. The task is to find channel assignment which reduces call blocking probability in wireless cellular network. This paper deals with a channel assignment technique and release technique ...

  14. A Dynamic Channel Assignment Scheme for TDMA-Based Multihop Cellular

    A clustered multihop cellular network (cMCN) architecture is recently proposed and studied using fixed channel assignment (FCA). In this paper, we propose to use dedicated information ports (DIPs) as clusterheads for cMCN and develop a multihop dynamic channel assignment (mDCA) scheme, including two different channel searching strategies. The mDCA is based on the idea of assigning channels ...

  15. Channel Assignment Techniques

    This chapter is intended to introduce the various approaches to cellular channel assignment. Unfortunately, most channel assignment schemes are quite detailed and founded largely on ad hoc principles. ... S. Tekinay, B. Jabbari, Handover and channel assignment in mobile cellular networks. IEEE Commun. Mag. 29, 42-46 (1991) Article Google Scholar

  16. On channel assignment problem in cellular networks

    The channel assignment problem in a mobile cellular network is considered in this paper. The cellular network is most often modelled as a graph and the channel assignment problem is formulated as the coloring problem of that graph. The channel assignment problem in its most general form is NP-complete. Prior studies assume that the graph modelling the cellular network is an arbitrary graph ...

  17. Evaluation of a channel assignment scheme in mobile network systems

    The channel assignment problem is a complex problem which requires that under certain constraints a minimum number of channels have to be assigned to mobile calls in the wireless mobile system. In ...

  18. PDF Wireless Cellular Networks

    49. Telephone call to mobile user. Step 4 - The mobile receives the paging message sent by the base station it monitors and responds by identifying itself over the reverse control channel. Step 5 - The base station relays the acknowledgement sent by the mobile and informs the MSC of the handshake.

  19. Handover and Channel Assignment in Mobile Cellular Networks

    Handoff: Handoff critical to an efficient system. Handoff related system characteristics include probability of blocking new traffic, probability of forced termination, delay in channel assignment, and total carried traffic. Fixed schemes: Basic: A permanent set of channels is assigned to each cell. &quotFull" cells imply blocked calls and ...

  20. MTS (telecommunications)

    MTS (Russian: Мобильные ТелеСистемы, МТС, "Mobile TeleSystems"), headquartered in Moscow, is the largest mobile network operator in Russia, operating on GSM, UMTS and LTE standards. Apart from cellular network, the company also offers local telephone service, broadband, mobile television, cable television, satellite television and digital television.

  21. Dish Network Fields Financing Offers From Private Credit Firms

    April 11, 2024 at 8:58 AM PDT. Listen. 2:07. Dish Network Corp., the satellite-TV provider saddled with more than $20 billion in debt and losing customers, has received financing offers from ...

  22. Moscow 2030: a Development Plan / Smart City of the Future

    1. To focus on humans and creating the conditions for a full-fledged, high-quality, and happy life for all categories of residents. Participation of residents. in city governance. 2. To develop conditions for active involvement of residents in social life and making decisions on citywide issues; open digital government. Artificial intelligence.

  23. Moscow City Telephone Network (MGTS)

    Company Moscow City Telephone Network (MGTS), Assets, Board of Directors, Composition of June 2018, CIO's, Performance indicators, 2020 Revenue growth to 4116 billion rubles, profit - 1295 billion rubles, History, Albert Gilmanov - the new general director of MGTS, Start installing sensors on cable protection hatches, investing 1 billion rubles in the project, 2020 MGTS brand will disappear ...

  24. Facts about Moscow

    There are four major mobile-network providers in Moscow: Beeline, MTS, MegaFon and TELE2, offering similar services and coverage. 15Gb 3G/LTE data plan costs about 600 rubles (€6.02) per month. Prepaid or contract micro-SIM and nano-SIM cards are available in almost every provider store. ... Major TV-providers in Moscow are Rostelecom ...