phd research topics in lte

• How to Choose a PhD Research Topic
• Finding a PhD

Introduction

Whilst there are plenty of resources available to help prospective PhD students find doctoral programmes, deciding on a research topic is a process students often find more difficult.

Some advertised PhD programmes have predefined titles, so the exact topic is decided already. Generally, these programmes exist mainly in STEM, though other fields also have them. Funded projects are more likely to have defined titles, and structured aims and objectives.

Self funded projects, and those in fields such as arts and humanities, are less likely to have defined titles. The flexibility of topic selection means more scope exists for applicants to propose research ideas and suit the topic of research to their interests.

A middle ground also exists where Universities advertise funded PhD programmes in subjects without a defined scope, for example: “PhD Studentship in Biomechanics”. The applicant can then liaise with the project supervisor to choose a particular title such as “A study of fatigue and impact resistance of biodegradable knee implants”.

If a predefined programme is not right for you, then you need to propose your own research topic. There are several factors to consider when choosing a good research topic, which will be outlined in this article.

How to Choose a Research Topic

Our first piece of advice is to PhD candidates is to stop thinking about ‘finding’ a research topic, as it is unlikely that you will. Instead, think about developing a research topic (from research and conversations with advisors).

Consider several ideas and critically appraise them:

• You must be able to explain to others why your chosen topic is worth studying.
• You must be genuinely interested in the subject area.
• You must be competent and equipped to answer the research question.
• You must set achievable and measurable aims and objectives.
• You need to be able to achieve your objectives within a given timeframe.
• Your research question must be original and contribute to the field of study.

We have outlined the key considerations you should use when developing possible topics. We explore these below:

Focus on your interests and career aspirations

It is important to choose a topic of research that you are genuinely interested in. The decision you make will shape the rest of your career. Remember, a full-time programme lasts 3-4 years, and there will be unforeseen challenges during this time. If you are not passionate about the study, you will struggle to find motivation during these difficult periods.

You should also look to your academic and professional background. If there are any modules you undertook as part of your Undergraduate/Master degree that you particularly enjoyed or excelled in? These could form part of your PhD research topic. Similarly, if you have professional work experience, this could lead to you asking questions which can only be answered through research.

When deciding on a PhD research topic you should always consider your long-term career aspirations. For example, as a physicist, if you wish to become an astrophysicist, a research project studying black holes would be more relevant to you than a research project studying nuclear fission.

Read dissertations and published journals

Reading dissertations and published journals is a great way to identify potential PhD topics. When reviewing existing research ask yourself:

• What has been done and what do existing results show?
• What did previous projects involve (e.g. lab-work or fieldwork)?
• How often are papers published in the field?
• Are your research ideas original?
• Is there value in your research question?
• Could I expand on or put my own spin on this research?

Reading dissertations will also give you an insight into the practical aspects of doctoral study, such as what methodology the author used, how much data analysis was required and how was information presented.

You can also think of this process as a miniature literature review . You are searching for gaps in knowledge and developing a PhD project to address them. Focus on recent publications (e.g. in the last five years). In particular, the literature review of recent publications will give an excellent summary of the state of existing knowledge, and what research questions remain unanswered.

If you have the opportunity to attend an academic conference, go for it! This is often an excellent way to find out current theories in the industry and the research direction. This knowledge could reveal a possible research idea or topic for further study.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

Discuss research topic ideas with a PhD supervisor

Discuss your research topic ideas with a supervisor. This could be your current undergraduate/masters supervisor, or potential supervisors of advertised PhD programmes at different institutions. Come to these meetings prepared with initial PhD topic ideas, and your findings from reading published journals. PhD supervisors will be more receptive to your ideas if you can demonstrate you have thought about them and are committed to your research.

You should discuss your research interests, what you have found through reading publications, and what you are proposing to research. Supervisors who have expertise in your chosen field will have insight into the gaps in knowledge that exist, what is being done to address them, and if there is any overlap between your proposed research ideas and ongoing research projects.

Talking to an expert in the field can shape your research topic to something more tangible, which has clear aims and objectives. It can also find potential shortfalls of your PhD ideas.

It is important to remember, however, that although it is good to develop your research topic based on feedback, you should not let the supervisor decide a topic for you. An interesting topic for a supervisor may not be interesting to you, and a supervisor is more likely to advise on a topic title which lends itself to a career in academia.

Another tip is to talk to a PhD student or researcher who is involved in a similar research project. Alternatively, you can usually find a relevant research group within your University to talk to. They can explain in more detail their experiences and suggest what your PhD programme could involve with respect to daily routines and challenges.

Look at advertised PhD Programmes

Use our Search tool , or look on University PhD listing pages to identify advertised PhD programmes for ideas.

• What kind of PhD research topics are available?
• Are these similar to your ideas?
• Are you interested in any of these topics?
• What do these programmes entail?

The popularity of similar PhD programmes to your proposed topic is a good indicator that universities see value in the research area. The final bullet point is perhaps the most valuable takeaway from looking at advertised listings. Review what similar programmes involve, and whether this is something you would like to do. If so, a similar research topic would allow you to do this.

Writing a Research Proposal

As part of the PhD application process , you may be asked to summarise your proposed research topic in a research proposal. This is a document which summarises your intended research and will include the title of your proposed project, an Abstract, Background and Rationale, Research Aims and Objectives, Research Methodology, Timetable, and a Bibliography. If you are required to submit this document then read our guidance on how to write a research proposal for your PhD application.

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• Aug 4, 2021

A Simple Beginner's Guide to PhD Research Topic Formulation

Greetings!!

Are you puzzled as to how you need to formulate a topic for your PhD research work? Feeling obscured under a lot of articles or books that you’ve read which only led to confusion? If it’s been more than a weeks’ time since you started, and one idea after another is running through your mind without any hint like how to mold one idea into a proper research project – you’re certainly feeling the burden!

We are here to help you in bringing up an appropriate approach for a workable research project. In addition, we have a provided a comprehensive 6-step-guideline for “Finding out a good and original PhD research topic”.

What is a ‘PhD research topic’?

There are some misinterpretations and uncertainty around the word ‘topic’, and many PhD scholars thinks that they require a general topic to get started with their research. However, it is not right. Normally, a PhD research topic is the heart of your research project which simply exposes the complete idea of your research work and further by using it, the dissertation/thesis needs to be framed out. In practice, deciding on a research topic and working out your research questions goes hand-in-hand.

Below six steps will guide you in formulating a good research topic for your PhD

Step 1. Research the state-of-art in your interested research domain

Initially find atleast 5-8 appropriate keywords for a literature search.

Further postulate your search regarding literature survey databases which you search, its publishing dates, topographical areas, or applied methods and techniques.

Summarize all the articles which you read and keep reference number for the same, so you can always revisit articles.

Step 2. Breakthrough your project ideas

Identify and write down all the project ideas which comes to your mind. Just gather your thoughts, without critically assessing them.

Find a quiet spot and write out all project ideas that come to your mind. Just collect all your thoughts, without critically evaluating them.

After few days, revisit your ideas and start reviewing and crossing out research ideas which are not worthwhile.

Continue adding new ideas and refine your list, as you go on with the reading process.

Step 3. Slender down your research ideas

After working on this, go through your formulated list and gradually narrow it down to 2-3 best research ideas.

Further to it, start in brainstorming each promising research idea, may be atleast one per day.

Pen down all possible and clear research questions, problem gaps, ideas for experiments/analysis, how to gather pragmatic evidence, hypothesis you’re having etc.

Step 4. Develop a “project work sheet”

Create and maintain a page “project work sheet” that surface out the specifically more about your research project in terms of approach, methods, techniques to be used of and expected outcomes of the research work taken.

The purpose of maintaining this project work sheet is to test how do you feel about the research topic-either positively or indifferent? You have time to work on the research topic for the approaching years. Preferably, you’re passionate about it.

Step 5. Discussing with your research guide/supervisor

Present all the formulated research topic to your supervisor would be always the best choice as they will help you in knowing whether the topics suggested is good to move ahead or need to work upon.

Now, based on their opinion (regarding time, funds, facilities & methods available) move further with any one of the research topics.

Integrate all their feedback on your “project-work sheet” to further polish them.

Step 6. Decide and develop statement of objectives

During this process, you might have decided one topic which is better and stands out with more potential. Go for that and start to further analyze the pro’s and con’s of it. But finally make a decision and move forward.

For the finalized research topic, create atleast 3-6 objectives which briefly gives the research project’s goal. Include research questions to answer or the hypothesis you’ll work with.

Conclusion:

If you’re one among those PhD candidates, it is most important to find your goal for doing PhD, now identifying the goal is your goal! We know that finding a research topic is a harder part, however the above mentioned six steps will definitely guide you in cracking and bringing about a good research topic.

Hope this article will be helpful for all the readers who are in the beginning stage of your PhD research work. In case of any queries related to this post, feel free to reach us through your comments or visit our website.

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Home » PhD Research Topics in LTE Network

PhD Research Topics in LTE Network

         We are providing the complete research assistance about the PhD research. When it comes to research, topic selection is the first process and to make that process as much as easier we described this article which is about the complete articulation of research topics and research projects based on LTE network.

• Uplink and downlink synchronization
• Scheduling inter and intra cell resource
• Delay sensitive packet scheduling
• Carrier and channel aggregation
• Mobile data networking
• HD video streaming

LTE Network Projects

         In addition, the lists of project titles based on the LTE network have been enlisted in the following.

• End to end network slicing framework through LTE mathematical scheme
• A genetic algorithm technique for RSS fingerprint based indoor positioning in LTE
• Ensuring security of LTE network functions in public cloud using virtualization
• Backhaul aware SDN based LTE networks using handover optimization and joint QoS control
• Utilization of unsupervised learning in commercial LTE networks for mobility based anomalies detection
• LTE network based low altitude air to ground channel characterization
• Low height air to ground channel in live LTE network for interface modeling
• Multi tire LTE network user experience optimization using data driven traffic steering algorithm
• Secure authentication in LTE networks using robust authentication and key agreement protocol
• LTE network video streaming using machine learning based QoE prediction
• Multi objective particle swarm optimization for location management in LTE networks
• M2M communication based access delay optimization in LTE networks
• Enhancing position accuracy in LTE networks using channel estimators and joint time delay techniques
• Path loss prediction in LTE based urban environments using machine learning techniques
• Modeling & throughput optimization in LTE networks using massive random access of M2M communications
• Enhancing localization framework in LTE network using hybrid TDOA fingerprinting approach
• Two-UAV LTE network: A SkyCore technique for untethered edge based system
• Multi transmitter signal propagation environments in LTE networks using radial basis neural network path loss prediction
• Network slicing in LTE network using resource management mechanism
• Middlebox approach for mobile edge computing in 4G LTE environment

       If you have queries in the project topics based on LTE network, then feel free to reach us at any time.

• [email protected]
• +91-97 91 62 64 69

LTE Simulation

Most significantly, our technical people have the required knowledge about the LTE simulation thus we can provide the topical research guidance for the research scholars. Let’s start this article with the list of LTE classes in Ns3 and OMNeT++.

LTE Simulation Classes

• InternetQueue
• Queue is implemented for the packet transmission by finite bandwidth channel
• LteCellInfo
• It holds the cross layer information about cell in eNB
• It executes the simplified version of IP protocol that is deployed within LTE model
• It executes MAC layer of eNodeB device
• LteEnbCphySapProvider
• SAP includes PHY methods
• LteEnbNetDevice
• It is the class for eNodeB device execution
• LteUeNetDevice
• This class executes the UE net device process

LTE Simulation Topics

For your ease, our technical people have highlighted the most innovative research topics based on LTE simulation.

• SVM based detection and mitigation of attacks in LTE
• Fuzzy game theory approach for scheduling and optimized resource allocation by mitigating blockages in mmWave MIMO based LTE-A/5G networks
• UE handover between eNodes in Blockchain based LTE-SDN Environment
• Bi-directional clustering based uplink scheduling and resource allocation using improved fuzzy game theory in LTE-A/5G network

Implementation of LTE Simulation

Moreover, LTE model is used in Ns3 for the simulation performance and the simulation is performed through creating the main file with LTE model configuration and stored in scratch folder. The below mentioned command is implemented to simulate LTE using Ns3.

cd /home/[hostname]/ns-allinone-3.26/ns-3.26

sudo ./waf –run [your simulation file name] –vis

Finally, we have highlighted the result that is acquired the implementation of LTE simulation using Ns3.

To this end, we have highlighted all the required notes based on the LTE simulation. If you have any doubts, then reach us!!!

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Research Topics

Wireless communication, wireless sensor networks, social sensor networks, cognitive radio networks, wireless body area network, network security, cryptography, digital forensics, cyber security, cloud computing, grid computing, ubiquitous computing, mobile computing.

• Service Computing

Data Mining

Natural language processing, image processing, geoscience and remote sensing, audio,speech,and language processing, augmented reality, software re-engineering, power / solar / wind.

• MAC and Cross-layer designs
• Channel modeling, modulation, coding in 5G
• Massive MIMO. mmWave, Cloud-Radio access network
• Hybrid network architectures
• Multiple traffic management system
• Virtual network management and orchestration
• Mobile edge computing
• Information discovery with semantic approaches
• Ultra Reliable Low Latency communication
• Visible Light Communication
• Optical communication
• Software define network with blockchain technology
• UAV into 5G
• Quality of Service supported resource allocation
• Secure data aggregation
• Machine-to-Machine Communication
• Antenna designs for beamforming
• Coexistence of LTE with Wi-Fi
• Downlink synchronization
• Channel selection and frame scheduling
• V2X with LTE
• Ubiquitous mobile communication
• Optimized handover
• M2M Communication
• Mu-MIMO design
• Massive MTC
• Network slicing
• eMBB communication
• Cell-coordination
• Frequency reuse
• Beam alignment
• mMWave for 5G
• THz band communication
• 5G Core security
• Heterogeneous cell communications
• PHY layer model
• Smart metering system
• Industrial environmental monitoring and alerting
• Ambient assisted living
• Cognitive radio sensor network
• Multimedia transmission in sensor networks
• IoT- sensor networks
• Power optimization based on cross-layer design
• Privacy, vulnerability and attacks detection
• Optical sensors system model
• Human-computer interface
• Unstructured data processing
• Community detection
• Intrusion detection system
• IoT based social sensor network
• Data virtualization
• Cyber-physical networking
• Mobile Crowdsourcing
• Trustworthiness detection
• Content sharing system
• Filtering base recommender system
• Effective Spectrum identification and utilization
• Spectrum sensing schemes
• Sidelobe reduction system
• CRN with 5G
• Dynamic spectrum access schemes
• Spectrum sharing
• QoS, QoE assisted communication
• Integrated CRN with sensor network
• Multiple access techniques
• Power transfer and energy harvesting in CRN
• In-body, On-body and Off-body communications
• Emergency data prediction
• Lightweight security protocols
• Remote patient monitoring system
• MAC designs
• Human bond communications
• Cognitive radio enabled WBAN
• Cloud based WBAN
• Energy aware resource allocation
• Power optimized data transmission
• Self-powered Adhoc
• AdhocHetNets
• Opportunistic network
• Mesh networks
• Rate adaption methods
• Privacy protection
• Air interface models
• Hybrid MAC protocol
• Integrated Adhoc network
• 13D localization service
• Priority scheduling
• Duty cycling
• D2D in VANET
• VANET Safety application
• Secure communication
• Internet of Vehicles
• V2X Communication
• AI for VANET
• Autonomous VANET
• Service discovery
• VANET-UMTS network
• Cellular VANET
• Predictive routing
• Cross-layer MAC
• Network management
• Multi-hop routing
• Smart phone MANET
• Hub-Spoke MANET
• Multimedia streaming
• MANET IDS/IPS
• Green Networking
• Optical switching and routing
• Computation offloading
• Virtual Private WPAN
• Next generation internet
• QoE control
• Controller virtualization
• Trust management
• Data plane management
• Control plane security
• Flow rule optimization
• Policy based SDN
• Automatic networking
• Multi-domain SDN
• Dynamic resource recovery
• Quantum cryptography
• Risk assessment
• Lightweight cryptography
• Secure service discovery
• Authentication protocols
• Trust modeling
• Micro-trust anchor establishment
• Network monitoring
• Information hiding
• Complex system security
• Adaptive defense system
• Identity management
• RFID security
• Authenticated Encryption
• Security Issues and Protocols
• Data Privacy, Trust and Access Control
• Intrusion Detection in Gigabit Networks
• High Performance Cryptography
• Visual Cryptography
• Biometrics based Multifactor Authentication
• Digital Signature with MAC
• Improved Blockchain Technology (Graph-based)
• Smartphone / hardware security applications
• Autonomous evidence collection system
• Social cyber-attacks and defense
• Drone forensics
• Forensic detection on cloud systems
• Blockchain based digital forensic
• Forensics in IoT
• Anomaly detection system
• Integrated big data and green cloud forensics
• Network forensics detection
• Cyber issues in fog
• Anti-forensics techniques
• Web security
• Access control
• Attack resilience
• Malware detection
• Security for mobile applications
• Virtualized security
• Optical cryptography
• Ransomware detection
• IoX (People, Things, Everything)
• Industrial IoT
• Semantic IoT
• Web of Things
• Blockchain for IoT security
• P2P streaming
• Crowdsening
• Narrowband IoT
• LoWPAN and RPL
• Data centric IoT
• Service centric IoT
• Social adaption
• Resource virtualization and Management system
• Green cloud computing
• Cloud Computing with Internet of Things
• Multimedia supported Cloud systems
• Cloud Edge Applications
• Cloud Federation and Bridging Operations
• Cloud Security (Authorization, Authentication, Privacy and Access Control)
• Workload proliferation
• Cloud Metering, Monitoring and Migrating
• Social network assisted cloud architecture
• Peer-to-Peer Systems
• Video analysis in Social media
• Load balancing
• Task scheduling
• Energy management system
• Resource management
• Scalable system architecture
• Fault detection
• Security installation
• Computing Applications
• Context aware computing
• Web –based Access (Any User, Place and Time)
• Ubiquitous Connectivity in IoT
• Ubiquitous Social Computing
• Semantic Technologies
• Ubiquitous Multimedia Computing
• Human Computer Interaction
• Context based Ontology Construction
• Security Issues in Ubiquitous Computing
• Mobile Multimedia
• Mobile Device Architectures
• Crowdsourcing
• Localization and Tracking
• Energy aware Mobile Computing
• Social Network Applications
• Mobile Networked Sensing
• Mobile Social Wireless Networks
• Mobile Apps development

Service Computing [Web Service]

• Location-based Services
• Social Web Search & Mining
• Service Modeling
• Service Level Agreements (SLAs)
• Service Discovery and Repository
• Services Rules Design for Trust and Security
• IoT, Mobile, and Cloud Services
• Service Lifecycle Management
• Services Orchestration and Optimization
• Services Oriented Architecture (SOA)
• Big Data Mining Streams
• OS/Hardware Acceleration (FPGA/GPU/CCRA)
• Big Sensor Data Management
• Multimodal Deep Learning
• Big Data Search and Mining
• Multi-structured Big Data (up to 10V’s)
• Trust Management and Threat Detection
• Peer-to-Peer Search beyond STORM , Hadoop and Spark
• Big Smart (IoT) Things Analytics
• MapReduce for Twitter Data Analytics
• Mining using MapReduce
• Static and Dynamic Clustering
• MapReduce for 10V’s of Big data
• Security and Privacy using MapReduce
• Optimization with MapReduce
• Task/Job Level Native Optimization
• Amazon Web services (Fast Data Access)
• Job Scheduling Algorithms
• Text Processing, Searching and Indexing
• Semantic Web and Ontologies
• Web Mining and Knowledge Discovery
• Fraud Detection
• Information Hiding
• Information Retrieval (Query based)
• Forensic Data Analysis
• Trust, Privacy, and Security
• Frequent Pattern Mining
• Multimedia Data Mining (Text, Video)
• Named entity recognition
• Lexical semantics
• Ontology creation
• Dialog and interactive systems
• Text summarization
• Text embedding
• Machine translations
• Attention mechanism
• Syntactic analysis
• Information extraction
• Multilingual NLP
• Medical Image Processing
• Pattern Recognition in DIP
• 3D, 4D, and 5D Digital and Medical Images
• Biometrics (finger vein, iris, palmprint, face, etc.)
• Deep Learning and Machine Learning
• RGBD Sensors and Analytics
• Image Watermarking (Fragile, Semi-fragile)
• Image and Video Quality Analytics
• Feature Selection, Classification and Validation
• Hyperspectral and Multispectral Imaging
• Disasters Detection and Prevention
• Satellite Imaging and Next Generation Satellites
• Geospatial Industry
• Geo Applications Development (Agriculture, and Hydrology)
• Geo Data Collection and Separation
• Classification/Prediction techniques
• Image and Signal Processing in geoscience
• Light Propagation and Environmental Effects
• Remote Sensing Technologies for Urban
• Text-to-speech synthesis
• Emotion recognition
• Bio-security
• Phonetics analysis
• Audio-visual processing
• Upmixing audio signals
• Automatic analysis
• Voice analysis
• Audio segmentation
• Spatial audio coding
• Echo cancellation
• Coding techniques
• Quality of Experience measurements
• Multimedia sharing over big data analytics
• Deep learning
• Security and forensics detection in multimedia
• Image, Audio, Video processing
• IoT supported multimedia transmission
• D2D communication
• Request based multimedia retrieval system
• Trust framework
• Robot Learning, Tracking and Motion
• Scene Analysis and Reconstruction
• Marker-based and Markerless AR
• Visual SLAM (Simultanoeus Localization and Mapping)
• 3D Point Cloud
• Image Multi-view from Different Sensors
• 3D Capturing/Acquisition
• AR in E-Learning Systems
• Computer Mediated Reality
• Object Recognition and Virtual Fizture
• Tools, and Languages
• Software Analysis, and Fact Extraction
• Software Migration and Reconstruction
• Software Repository for Mining and Analytics
• Software Visualization and Architecture Recovery
• Service Oriented Software Development
• Cyber-Physical Systems
• Embedded and Distributed Systems
• Mobile and Pervasive Systems
• Software Quality Checking, Testing, and Simulation
• Transmission Microgrid
• Power quality monitoring system
• Hybrid power systems
• Flexibly power balanced power plant model
• Vehicle to Grid (V2G) and Grid to Vehicle (G2V) transmission
• Advanced metering infrastructure
• Battery assisted PV applications
• Utilization of virtual power plants
• Demand based power management system
• Multi-objective optimal scheduling

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lte research topics

Phd research topic in lte.

PHD RESEARCH TOPIC IN DATA MINING PHD RESEARCH TOPIC IN DATA MINING came into lime light recently due to its prevalent scope. Mine, the word refers to extraction of something. Data Mining involves mining of information from the database and transforming it into more understandable structure. It is also known as Knowledge Discovery Database (KDD). Data […]

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Master Thesis LTE Projects

    Master Thesis LTE Projects are our main service started for our students and research scholars. We offer enormous services to research scholars across the world. Our services are writing, developing, editing, coding, proofreading, formatting, plagiarism checking, and also in statistical analysis, illustrating, etc.

Consequently, We just breakthrough your ideas and translate them into research projects. Our Master Thesis LTE Projects is your beneficial platform for those interested in writing a thesis for their master’s degree courses. We prepare your thesis to depend on your university format or even your college/institution you are doing your master’s degree.  You are just starting your thesis with us. We offer you plenty of opportunities to get to start your thesis.

Thesis LTE Projects

    Master Thesis LTE Projects ideally prepared to guide students and research scholars. A thesis is the mandatory part of your master’s degree. You must need some assistance to complete it. The main focus is on becoming our student is an expert.  In the following, you will get some idea about LTE as well as you get an idea of what Dos and Don’ts in your LTE Projects. When you write a thesis, we surely give guidance to prepare it on time. If you have a doubt, you may discuss with our top writers related to thesis format/structure, technical contents, and so on.

Major Features of LTE

• Supports for FDD and also TDD communication systems
• Provides peak data rate also for Downlink at100 Mbps and Uplink at 50 Mbps
• Supports mobility at various mobile speeds [up to 5Mhz] also among cellular networks
• Offers high peak spectrum efficiency [also for Downlink: three-four times release 6 HSDPA, and Uplink: two-to three times release 6 enhanced uplink]
• Supports other advanced technologies [LTE-Advanced and LTE-Unlicensed Spectrum]
• It uses OFDMA also for Downlink and SC-FDMA for Uplink
• A new protocol called “LTE Direct” also for adding D2D communication
• The C-plane capacity allows spectrum allocation up to 5 MHZ for 200 users/cell in the active state
• LTE supports also for broadcast multicast single frequency network
• Most important aspects of LTE:

                       -Support also for high data rates with minimum delay

                       -Enhanced system capacity and also coverage

                       -Reduced cost also for operator

                       -Support also for Flexible Spectrum Allocation

                       -Used for Spectrum utilization

LTE Simulation Tools

• LTE Network Simulator
• Valid8 LTE CORE simulator

LTE Interfacing with Other Simulators

• NS2 with LTE
• NS3 with LTE
• MATLAB also with LTE
• OPNET with LTE
• OMNET++ with LTE

LTE Supported Protocols/Techniques/Algorithms

• Non access stratum protocol
• S1 Application Protocol
• SGs Application Part Protocol
• X2 Application Protocol
• Diameter base Protocol
• GPRS tunneling protocol
• Voice over Internet protocol
• MAC protocol
• Delay limited scheduling protocol
• Resource management protocols
• Video streaming protocol

Major Research Areas of LTE

• LTE Security Issues
• OFDMA and MIMO Enhancement
• Channel and also in carrier aggregation
• LTE Vs. Wimax
• LTE/4G Policy control and management
• LTE 450 MHZ system assessment
• Multicell Cooperation Rx/Tx
• 4G Radio Technologies
• Security issues on LTE
• IEEE 802.11 WLAN Discovery Scheme
• Energy efficient dynamic point selection
• Interference management
• Density increased talking of 5G networks
• Small cell solution for densification
• Network management with policy and autonomics
• Fast group discovery and nonrepudiation in M2M communication
• Intracell CoMP scheduling in LTE-A
• Packet scheduling on multimedia applications

Latest Thesis LTE Projects Topics

• A framework for LTE radio base station receivers also using low noise amplifier
• LTE and LTE-A adaptation also for D2D and M2M communications
• Mode Filtering Technique Adaptation also for Last Time Access Network in 4G-LTE Hybrid RoMMF-FSO
• Doherty power amplifier for asymmetric cells also using fundamental Currant ratio
• Low power massive Internet of Things narrowband wireless access also in a bandwidth perspective
• High fidelity RF sources in photonic generation also for mobile communications
• Coalition formation in heterogeneous cellular networks also using Bayesian reinforcement learning for distributed resource sharing D2D users
• Contention based radio access protocols and also collision free comparison analysis in IoT
• Intelligent Transport Systems Critical Access also for Smoothing Drive
• Study for V2X Safety critical communications also using unsupervised long term evolution D2D.
• LTE-UMTS Spectrum Smart Utilization also for Communication in Smart Grids

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PhD Thesis Topics List

As soon as you get enrolled in a doctoral program in your interest area, the first step is to formulate a suitable topic in which you research during the whole course. Contrary to popular belief, it’s hard to decide upon a single research topic and be committed to for 3-4 years. Why is it difficult? Students often lose interest in the topic being it either too difficult or too ordinary that nothing significant can be made out of the literature review present on it or they do not have access to the reliable sources of information and data.

Where to seek help then?

Opt for our experts’ advice and consultation on PhD research topics covering a broad range of subject areas. Our job is to guide you which road and direction you should pick in the very beginning of your PhD. We explore the scope, relevance, and complexity of the research area and then conduct research to develop such a topic that will help you in conducting an original, unique, and relevant research in a concerned interest area. We believe in creating the research topics and not finding any to reduce any possibility of repetition or plagiarism.

Simplify your struggle of choosing a research topic, see the PhD Project topics given below and begin the exploration today:

• PhD Topics in Strategic Management
• PhD Topics in Civil Engineering
• PhD Topics in Mechanical Engineering
• PhD Topics in Library Science
• PhD Topics in Consumer Behaviour
• PhD Topics in Marketing
• PhD Topics in Physical Education
• PhD Topics in Law
• PhD Topics in English Literature
• PhD Topics in Economics
• PhD Topics in Web Security
• PhD Topics in Human Resource Management
• PhD Topics in Microbiology
• PhD Topics in Chemistry
• PhD Topics in Mergers and Acquisitions
• PhD Topics in Finance
• PhD Topics in Operations Research
• PhD Topics in Manufacturing Engineering
• PhD Topics in Education
• PhD Topics in Management
• PhD Topics in Medical Image Processing
• PhD Help in Speech Processing
• PhD Projects in RTOOL
• PhD Projects in WEKA
• PhD Projects in MATLAB
• NLP PhD Thesis Topics
• PhD Help in 5G Network Simulation
• PhD Thesis LTE Simulation Projects
• PhD Help in 4G Network Simulation
• PhD Thesis in SDN Projects
• PhD Topics in Information Technology
• PhD Projects in Hadoop
• IPv6 Network Simulation Project
• PhD Projects in OpenCV
• PhD Projects in SCILAB
• Wifi Network Simulation
• WiMAX Network Simulation
• PhD Topics in Signal Processing
• PhD Topics Help in MANET
• PhD Topic Help in VANET
• PhD Topic Help in Biomedical Signal Processing
• PhD Help In Nursing
• PhD Topics in Accounting
• PhD Topics In Social Work
• PhD Topics in Public Health
• PhD Help In Feminism
• PhD Topic Help In Entrepreneurship
• PhD Help in Modern Indian History
• PhD Help in Public Policy
• PhD Help in Library And Information Science
• PhD Help in Visual Communication
• PhD Help in Business Management
• PhD Help in Database Management System
• PhD Topic help in Knowledge Management
• PhD Topics in Wordnet
• PhD Topics in Thermal Engineering
• PhD Topics in Commerce
• PhD Topics in Deep Learning
• PhD Topics in Machine Learning
• PhD Topics in IoT
• PhD Topics in Leadership
• PhD Synopsis Writing
• PhD Publications Assistance
• PhD Topics in Covid related research
• PhD Topics in Supply Chain
• PhD Topics in Infrastructure
• PhD Topics in VLSI
• PhD Topics in Power Electronics
• PhD Topics in Artificial Inteliigence
• PhD Topics in Cryptography
• PhD Topics in Training and Development
• PhD Topics in Knowledge Management

If you are also struggling with your topic selection, share your problem, and requirements with us. All our research consultants are PhD holders in the above mentioned research fields, thus their help in selecting and developing reliable PhD thesis topics can be of your use. Write in to us at [email protected]  for getting a customised research topic at the earliest.

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• THE STEP-TO-STEP GUIDE TO WRITE A SUCCESSFUL RESEARCH PROPOSAL.

• Our Promise
• Our Achievements
• Our Mission
• Proposal Writing
• System Development
• Paper Writing
• Paper Publish
• Synopsis Writing
• Thesis Writing
• Assignments
• Survey Paper
• Conference Paper
• Journal Paper
• Empirical Paper
• Journal Support

PhD Projects in WiFi

PhD projects in wifi are a part of the wireless growth to spread the students’ ‘network’ skills.  Wifi or IEEE 802.11x allows the popular wireless system for indoor and outdoor usages .

Start doing your project with us to reach your dreamland in the research world!!!!

Our top-rated doyens will aid you in all versions of wifi from 802.11 (legacy mode) to 802.11ay. In the first place, wifi takes on  MIMO and mmWave  the most. At present, wifi has become a part of most of our day-to-day life.

In truth, we have given a high-flying research service to all our clients. Despite the research domain, we gave our fullest support to the students.  PhD Projects in wifi has given the topics that it covers in your research.

TRENDING RESEARCH TOPICS IN WIFI

• Wifi 6 for Industrial Wireless Network
• Wifi Adhoc Heterogeneous Network
• MAC Optimization for WiGig
• Fast Data Rate with Gi-Fi
• Security and Privacy for wifi Network
• IoT with wifi 6
• And also Access Points with OFDMA
• AI for network management
• Signal Detection
• Spectrum Allocation
• Resource Management
• 11ax for immersive applications
• 4K Video Streaming

If your domain is wifi, then feel free to discuss with our whizzes to get an idea. To put it another way, we have so much tech stuff to start your project and end it in a significant way. To sum up, we have upheld high secrecy for your views and method.

In the long run,  PhD projects in wifi  will create a road ahead for your project to get good results. To clarify your doubts, we have a sole crew with high data and care.

Innovative things for Novel Positioning System of Potential WiFi Hotspots for Software Defined WiFi Network Planning

A new mechanism for SmartWAZ based  Design and Implementation of Smart WiFi Access System Assisted by Zigbee

An effectual process of Design Considerations intended for RINA Congestion Control over WiFi Links

An innovative method for WiFi Dimensioning to offload LTE in 5G Networks

A modern mechanism for Modified Efficient Handover of WiFi-WiMAX Heterogeneous Network Environment system

An original Structural design of multi-layered SDN based LTE/WiFi Network for multi-interface D2D users

An effective process of  Novel System for WiFi Radio Map Automatic Adaptation and Indoor Positioning

A new function of Hybrid Optical Wireless Network Based on Visible Light Communications (VLC)-WiFi Heterogeneous Interconnection

An effectual method for IoT Based on Organic Waste Burner for Wood Vinegar Production

A new source for WiMAX and WiFi network integration as backhaul on emergency communications

The fresh process of Performance Assessment based on QoS-Aware LTE Sessions Offloading Onto LAA/WiFi Systems

An inventive process of E2E QoS Support Aided ITPC WiFi Network intended for Performance Analysis scheme

An innovative method for Intelligent Large-Scale AP Control with Remarkable Energy Saving in Campus WiFi System

A new-fangled soucrce for Launching Low-Rate DoS Attacks with Cache-Enabled WiFi Offloading system

An innovative system for Data-driven Evaluation of Utilization and Connectivity in WiFi Deployments

The novel survey for TDOA-based on passive localization of standard WiFi devices scheme

An innovative function for Green-oriented user-satisfaction aware WiFi offloading in HetNets

A novel process of Reducing Delay in Group Reformation based WiFi Direct Networks Through Redundancy scheme

A new function of Development and Evaluation of a low-cost WiFi Media Access Control Scanner as Traffic Sensor system

A novel Design at 2.4GHz Low Noise Amplifier for Wifi-Application system

MILESTONE 1: Research Proposal

Finalize journal (indexing).

Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.

Research Subject Selection

As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.

Research Topic Selection

We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other

Literature Survey Writing

To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)

Case Study Writing

After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.

Problem Statement

Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.

Writing Research Proposal

Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)

MILESTONE 2: System Development

Fix implementation plan.

We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.

Tools/Plan Approval

We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.

Pseudocode Description

Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.

Develop Proposal Idea

We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.

Comparison/Experiments

We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.

Graphs, Results, Analysis Table

We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.

Project Deliverables

For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.

MILESTONE 3: Paper Writing

Choosing right format.

We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.

Collecting Reliable Resources

Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.

Writing Rough Draft

We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources

Proofreading & Formatting

We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on

Native English Writing

We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.

Scrutinizing Paper Quality

We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).

Plagiarism Checking

We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.

MILESTONE 4: Paper Publication

Finding apt journal.

We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.

Lay Paper to Submit

We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.

Paper Submission

We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.

Paper Status Tracking

We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.

Revising Paper Precisely

When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.

Get Accept & e-Proofing

We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.

Publishing Paper

Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link

MILESTONE 5: Thesis Writing

Identifying university format.

We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.

Gathering Adequate Resources

We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.

Writing Thesis (Preliminary)

We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.

Skimming & Reading

Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.

Fixing Crosscutting Issues

This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.

Organize Thesis Chapters

We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.

Writing Thesis (Final Version)

We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.

How PhDservices.org deal with significant issues ?

1. novel ideas.

Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.

2. Plagiarism-Free

To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

3. Confidential Info

We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.

• Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
• Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.

CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.

4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.

5. No Duplication

After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.

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Related Pages

Phd Projects In Wifi Network

Phd Projects In Sensor Networks

Phd Projects On Wimax Network

Phd Projects In Computer Networks

Phd Projects In Network Simulation

Phd Projects In Wireless

Phd Projects In Network Security

Phd Projects In Wireless Body Area Network

Phd Projects In Mobile Networking

Phd Research Topics In Wireless Communication

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Phd Projects In Wireless Network

Phd Projects In Body Area Network

Phd Projects In Wireless Sensor Network

Phd Projects In Computer Networking

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Bringing an investigator’s eye to complex social challenges

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Anna Russo likes puzzles. They require patience, organization, and a view of the big picture. She brings an investigator’s eye to big institutional and societal challenges whose solutions can have wide-ranging, long-term impacts.

Russo’s path to MIT began with questions. She didn’t have the whole picture yet. “I had no idea what I wanted to do with my life,” says Russo, who is completing her PhD in economics in 2024. “I was good at math and science and thought I wanted to be a doctor.”

While completing her undergraduate studies at Yale University, where she double majored in economics and applied math, Russo discovered a passion for problem-solving, where she could apply an analytical lens to answering the kinds of thorny questions whose solutions could improve policy. “Empirical research is fun and exciting,” Russo says.

After Yale, Russo considered what to do next. She worked as a full-time research assistant with MIT economist Amy Finkelstein . Russo’s work with Finkelstein led her toward identifying, studying, and developing answers to complex questions. 

“My research combines ideas from two fields of economic inquiry — public finance and industrial organization — and applies them to questions about the design of environmental and health care policy,” Russo says. “I like the way economists think analytically about social problems.”

Narrowing her focus

Studying with and being advised by renowned economists as both an undergraduate and a doctoral student helped Russo narrow her research focus, fitting more pieces into the puzzle. “What drew me to MIT was its investment in its graduate students,” Russo says.

Economic research meant digging into policy questions, identifying market failures, and proposing solutions. Doctoral study allowed Russo to assemble data to rigorously follow each line of inquiry.

“Doctoral study means you get to write about something you’re really interested in,” Russo notes. This led her to study policy responses to climate change adaptation and mitigation. 

“In my first year, I worked on a project exploring the notion that floodplain regulation design doesn’t do a good job of incentivizing the right level of development in flood-prone areas,” she says. “How can economists help governments convince people to act in society’s best interest?”

It’s important to understand institutional details, Russo adds, which can help investigators identify and implement solutions. 

“Feedback, advice, and support from faculty were crucial as I grew as a researcher at MIT,” she says. Beyond her two main MIT advisors, Finkelstein and economist Nikhil Agarwal — educators she describes as “phenomenal, dedicated advisors and mentors” — Russo interacted regularly with faculty across the department. 

Russo later discovered another challenge she hoped to solve: inefficiencies in conservation and carbon offset programs. She set her sights on the United States Department of Agriculture’s Conservation Reserve Program because she believes it and programs like it can be improved. 

The CRP is a land conservation plan administered by USDA’s Farm Service Agency. In exchange for a yearly rental payment, farmers enrolled in the program agree to remove environmentally sensitive land from agricultural production and plant species that will improve environmental health and quality.

“I think we can tweak the program’s design to improve cost-effectiveness,” Russo says. “There’s a trove of data available.” The data include information like auction participants’ bids in response to well-specified auction rules, which Russo links to satellite data measuring land use outcomes. Understanding how landowners bid in CRP auctions can help identify and improve the program’s function. 

“We may be able to improve targeting and achieve more cost-effective conservation by adjusting the CRP’s scoring system,” Russo argues. Opportunities may exist to scale the incremental changes under study for other conservation programs and carbon offset markets more generally.  

Economics, Russo believes, can help us conceptualize problems and recommend effective alternative solutions.

The next puzzle

Russo wants to find her next challenge while continuing her research. She plans to continue her work as a junior fellow at the Harvard Society of Fellows, after which she’ll join the Harvard Department of Economics as an assistant professor. Russo also plans to continue helping other budding economists since she believes in the importance of supporting other students.   

Russo’s advisors are some of her biggest supporters. 

Finklestein emphasizes Russo’s curiosity, enthusiasm, and energy as key drivers in her success. “Her genuine curiosity and interest in getting to the bottom of a problem with the data — with an econometric analysis, with a modeling issue — is the best antidote for [the stress that can be associated with research],” Finklestein says. “It's a key ingredient in her ability to produce important and credible work.”

“She's also incredibly generous with her time and advice,” Finklestein continues, “whether it's helping an undergraduate research assistant with her senior thesis, or helping an advisor such as myself navigate a data access process she's previously been through.”

“Instead of an advisor-advisee relationship, working with her on a thesis felt more like a collaboration between equals,” Agarwal adds. “[She] has the maturity and smarts to produce pathbreaking research.

“Doctoral study is an opportunity for students to find their paths collaboratively,” Russo says. “If I can help someone else solve a small piece of their puzzle, that’s a huge positive. Research is a series of many, many small steps forward.” 

Identifying important causes for further investigation and study will always be important to Russo. “I also want to dig into some other market that’s not working well and figure out how to make it better,” she says. “Right now I’m really excited about understanding California wildfire mitigation.” 

Puzzles are made to be solved, after all.

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• Video: "MIT SHASS Student Profiles: Economics PhD Student Anna Russo"
• Amy Finklestein
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