5G Mobile Communication Final Year Projects
5G Mobile Communication Final Year Projects for BE, BTech, ME, MSc and MTech final year engineering students. Moreover, these 5G Mobile Communication projects give practical experience and help complete final-year submissions. Additionally, all projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
5G Mobile Communication Final Year Projects
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The Key Criteria for Predicting Unusual Behavior in the Elderly With Deep Learning Models Under 5G Technology
This study explores using advanced AI methods to detect unusual behavior in elderly people at home. It uses 5G networks to collect and analyze data quickly and efficiently. The researchers first identified the most important factors affecting elderly behavior using a decision-making method called DEMATEL. Then, they applied deep learning models, CNN and LSTM, to detect abnormal behavior. The results showed that LSTM worked best, achieving 96% accuracy, and highlighted depression as a key factor influencing unusual behavior. -
5G Aviation Networks Using Novel AI Approach for DDoS Detection
This project develops an intelligent system to detect cyberattacks at airports using 5G networks. It converts network data into images and uses a combination of convolutional and recurrent neural networks to identify threats. The system achieves high accuracy in detecting attacks and performs well on multiple benchmark datasets. This approach helps improve security in modern smart airport infrastructures. -
A DL-Enabled Relay Node Placement and Selection Framework in Multicellular Networks
This project focuses on improving how future 5G networks place and choose relay nodes that help users get better coverage and faster connections. It uses deep learning and reinforcement learning to make these decisions quickly, even when the network is crowded and complex. The study shows that these AI methods can greatly increase energy efficiency and data efficiency compared to traditional approaches. Overall, it provides a smarter way to manage communication resources in dense wireless networks. -
A Sensing Communication and Computing Approach for Vulnerable Road Users Safety
This project focuses on making city roads safer for pedestrians and cyclists. It uses smart sensors in vehicles, on the road, and on devices like smartphones to detect possible accidents. The system predicts collisions early and warns both drivers and vulnerable road users. Tests show it works accurately and quickly, especially when using advanced networks like 5G and edge computing. -
A2T-Boost An Adaptive Cell Selection Approach for 5G SDN-Based Vehicular Networks
This project focuses on improving 5G networks in crowded urban areas with many types of base stations. It proposes a smart method that helps mobile devices choose the best base station, using machine learning and software-defined networking. Tests in downtown Los Angeles show it reduces connection switches, improves data speed and energy use, and lowers network delays. The approach makes network performance more reliable for both vehicles and pedestrians. -
Challenges and Solutions for Service Continuity in Inter-PLMN Handover for Vehicular Applications
This project focuses on improving mobile network connectivity for connected and automated vehicles. It addresses problems that occur when vehicles switch between network cells or different networks, which can cause service interruptions. The work proposes solutions like using dual modems, adaptive video streaming, and special servers to maintain reliable connections. Tests on 5G networks show these solutions help, but current networks still need improvements for fully reliable vehicle communication. -
Cost-Aware DU Placement and Flow Routing in 5G Packet xHaul Networks
This project focuses on improving 5G network efficiency by deciding where to place processing units and how to route data flows between them. It aims to reduce overall costs while meeting strict delay requirements for data. The researchers use advanced mathematical methods and smart heuristics to find the best solutions, especially for large networks where exact methods are too slow. Their experiments show the approach works well and accurately predicts network delays. -
FC-PA Fog Computing-Based Pseudonym Authentication Scheme in 5G-Enabled Vehicular Networks
This project focuses on making vehicle communication in 5G networks safer and faster. It introduces a fog computing-based method to verify vehicle identities using a simpler cryptography operation. The approach protects privacy, prevents common security attacks, and works more efficiently than existing methods. It balances security and performance for intelligent transportation systems. -
Handover Reduction in 5G High-Speed Network Using ML-Assisted User-Centric Channel Allocation
This project focuses on improving 5G network performance for high-speed road users like connected autonomous vehicles. It introduces a new channel allocation method called Vehicular Frequency Reuse (VFR) to reduce frequent handovers and improve connection reliability. A mobility management function separates high-speed and low-speed users using a simple velocity-based metric. Simulations show that this approach can reduce handovers by over 99% compared to traditional methods. -
Intelligent Driver Model-Based Vehicular Ad Hoc Network Communication in Real-Time Using 5G New Radio Wireless Networks
This project focuses on improving communication between vehicles using 5G networks. It creates smart models for lane changes and accident avoidance to make vehicle movements more accurate and safe. The system is tested in different road shapes, and simulations show that vehicles communicate better and respond faster using 5G. Overall, it enhances traffic safety and efficiency through advanced vehicle-to-vehicle communication.
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How We Help You with 5G Mobile Communication Projects
At Final Year Projects, we provide complete guidance for 5G Mobile Communication IEEE projects for BE, BTech, ME, MSc and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.
Our team has over 10 years of experience guiding students in computer science, electronics, electrical and other engineering domains. In addition, we support students across India, including in Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. Moreover, international students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.
5G Mobile Communication Project Synopsis & Presentation
Final Year Projects helps prepare 5G Mobile Communication project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. In addition, we provide PPT slides, tutorials, and full documentation for presentations. Consequently, students can present their work clearly and confidently.
5G Mobile Communication Project Thesis Writing
Final Year Projects provides thesis writing services for 5G Mobile Communication projects. Moreover, we help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.
All theses are checked with plagiarism check tools to guarantee originality and quality. Fast-track services are available for urgent submissions. Hundreds of students have successfully completed their projects and theses with our support.
5G Mobile Communication Research Paper Support
We offer complete support for 5G Mobile Communication research papers. Services include writing, editing, and proofreading for journals and conferences.
We accept Word, RTF, and LaTeX formats. Additionally, every paper is reviewed to meet IEEE and publication standards, improving acceptance chances. Therefore, our guidance ensures that students produce high-quality, publication-ready research papers.
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