5G Mobile Communication Projects for ME, MTech, Masters, MS abroad, and PhD students. These 5G Mobile Communication ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest 5G Mobile Communication Projects
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Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases
This project studies how mobile communication technologies can make transportation more sustainable. It looks at smart city vehicles that communicate with each other and with infrastructure. The research explores trends like climate-friendly systems, cloud and edge computing, and AI to improve vehicle networks. It also estimates how these technologies can reduce fuel use and greenhouse gas emissions. -
ATHENA: An Intelligent Multi-x Cloud Native Network Operator
This project develops Athena, a new system for managing modern mobile networks like 4G and 5G. It makes networks more flexible, efficient, and easy to control across different vendors and devices. Athena reduces operational overhead, saves energy, and keeps the network highly reliable. The system was tested and shown to improve speed, performance, and sustainability. -
Cloud-native orchestration framework for network slice federation across administrative domains in 5G/6G mobile networks
This project focuses on improving mobile networks for connected and automated vehicles. It ensures that users keep a smooth connection even when moving between different network operators. The researchers designed a system that allows mobile operators to share network resources efficiently. They tested it on a 5G platform and studied how different strategies affect performance. -
A Hyper-Heuristic Approach for Quality of Experience Aware Service Placement Scheme in 5G Mobile Edge Computing
This project focuses on improving 5G mobile edge computing. It aims to place computing services closer to users so they get faster responses. The system predicts user movement and moves services ahead of time to improve user experience. It uses smart algorithms to balance speed, cost, and efficiency in large networks. -
A Novel Authentication Protocol for 5G gNodeBs in Service Migration Scenarios of MEC
This project focuses on making edge computing safer and faster. It ensures that services moving between network nodes are secure and verified. The researchers designed a new authentication method that follows current mobile network standards. They tested it using software tools and a real 5G network setup to confirm it works well. -
Application of Artificial Potential Field Method in Three-Dimensional Path Planning for UAV Considering 5G Communication
This project improves how drones fly while staying connected to computers using 5G networks. It plans drone paths in three dimensions by considering areas with the best 5G signal. The method also helps drones avoid getting stuck in tricky spots. Tests show it increases signal strength along the path, even if the route becomes slightly longer. -
Design of Computing-Aware Traffic Steering Architecture for 5G Mobile User Plane
This project focuses on improving 5G networks to make them faster and more reliable at the edge of the network. It studies how to smartly direct traffic between multiple service locations so performance does not drop. The researchers propose new ways to upgrade 5G systems and tested their methods. Their solution made service connections 30% to 50% faster than current standard methods. -
Multiradio Parallel Offloading in Multiaccess Edge Computing: Optimizing Load Shares, Scheduling, and Capacity
This project focuses on improving how mobile devices send heavy data to nearby cloud servers. It studies different wireless connections like Wi-Fi and 5G and finds the best way to use them together. The goal is to make data transfer faster, more reliable, and efficient. Tests show that the method reduces delays and increases the overall performance of the system. -
Adaptive Age of Information Optimization in Rateless Coding-Based Multicast-Enabled Sensor Networks
This project focuses on improving how data is sent in wireless sensor networks. It uses a new coding method to reduce delays caused by retransmissions. The goal is to keep information as fresh as possible by deciding the best time to send updates. The approach is tested with simulations and shows better performance than older methods. -
Efficient Deployment Strategies for Network Localization With Assisting Nodes
This project focuses on improving how well devices can know their location in wireless networks with limited infrastructure. It studies where to place helper nodes to make location estimates more accurate. The work develops methods to choose near-optimal positions for these nodes. Testing shows that placing helper nodes carefully can significantly improve location accuracy. -
Inter-User Interference Cancellation Scheme for 5G-Based Dynamic Full-Duplex Cellular System
This project focuses on improving how efficiently 5G networks use available frequency bands. It introduces a new method to reduce unwanted signal interference between users and base stations. The proposed technique helps devices communicate in both directions at the same time more effectively. As a result, the system achieves better data speed and reliability in 5G communication. -
On the Impact of Re-Evaluation in 5G NR V2X Mode 2
This project studies how 5G technology helps cars communicate safely on the road. It looks at a feature called re-evaluation that checks for possible message collisions before sending data. The research finds that this feature works well for regular traffic but is less effective for irregular traffic. It also shows that while it can prevent some collisions, it adds extra work and may not greatly improve overall performance. -
Performance Assessment of an ITU-T Compliant Machine Learning Enhancements for 5G RAN Network Slicing
This project focuses on improving how 5G networks share resources among multiple users. It introduces a way to give priority to different network slices so each gets fair performance. The study uses machine learning to speed up decisions about resource allocation. The results show that these methods work fast and accurately, but extra checks are needed when network conditions change or traffic is high. -
Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink
This project studies how future 5G vehicle networks can detect nearby objects using the same signals that cars use to communicate. It looks at how well vehicles can sense their surroundings when many cars share the network. The research also examines how network settings like bandwidth, signal type, and message size affect detection accuracy. The goal is to improve sensing without needing extra radar signals. -
Seamless Integration Technology for Filtenna Toward 5G 6G Wireless Communications
This project studies new designs for mobile communication antennas that also filter signals. These antennas, called filtennas, combine the antenna and filtering functions into a single unit. This helps reduce interference and saves space in advanced 5G and future 6G networks. The work explains how filtennas work and how they can be built. -
Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions
This project studies how future 6G networks can improve communication between vehicles and other devices on the road. It looks at ways to share network resources fairly and efficiently while avoiding interference and collisions. The study also explores new techniques like machine learning and edge computing to make vehicle communication faster and more reliable. Overall, it aims to make connected vehicles safer and more efficient in a hyperconnected 6G environment.
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How We Help You with 5G Mobile Communication Projects
At UniPhD, we provide complete guidance and support for 5G Mobile Communication ieee projects for BE, BTech, MTech, ME, Master’s, and PhD students. Our team assists you at every stage from topic selection to coding, report writing, and result analysis.
Our experts guide students all over India, including in Mumbai, Delhi, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune, Jaipur, and Surat. We also assist students in the USA, UK, Canada, Australia, Singapore, Malaysia, and Thailand. They have extensive experience in computer science, electronics, electrical and all engineering domains.
5G Mobile Communication Thesis and Dissertation Writing
UniPhD has a team of experienced academic writers who specialize in 5G Mobile Communication research and thesis development. We offer fast-track dissertation writing services to help you complete your 5G Mobile Communication thesis or dissertation smoothly and on time.
Our M.E., M.Tech, Masters, MS abroad, and PhD theses are developed according to individual university guidelines and checked with plagiarism detection tools to ensure originality and quality.
5G Mobile Communication Research Paper Publishing Support
UniPhD provides complete support for research paper writing, editing, and proofreading to help you publish your work in reputed journals or conferences. We accept documents in Microsoft Word, RTF, or LaTeX formats and ensure your paper meets publication standards.
Project Synopsis and Presentation Support
We help you prepare your project synopsis, including the problem definition, objectives, and motivation for your dissertation. Our team also provides complete PPT, documentation, and tutorials to make your final presentation successful. You can also download complete project resources, including source code, a project report, a PPT, a tutorial, documentation, and a research paper for your 5G Mobile Communication final year project.
5G Mobile Communication Research Support for PhD Scholars
UniPhD offers advanced 5G Mobile Communication research projects designed specifically for PhD scholars. We provide end-to-end support for your research design, implementation, experimentation, and publication process.
Each project package includes comprehensive documentation, including the research proposal, complete source code, research guidance, documentation, research paper, and thesis writing support, helping you successfully complete your doctoral research and academic publications.