Device-To-Device Communication Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Device-To-Device Communication ieee projects are implemented with future work and extension for final year project submission with research paper 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 Device-To-Device Communication Projects
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Combining Lyapunov Optimization and Deep Reinforcement Learning for D2D Assisted Heterogeneous Collaborative Edge Caching
This project focuses on improving content sharing in wireless networks. Devices can share data directly with nearby devices or get it from a base station. The method uses smart learning to decide which devices should store and share content. It reduces delays, saves energy, and keeps the network running smoothly. -
Bee System-Based Self Configurable Optimized Resource Allocation Technique in Device-to- Device (D2D) Communication Networks
This project focuses on improving mobile network performance as traffic keeps growing. It uses a method inspired by how bees search for food to efficiently allocate resources between nearby devices. If the network is overloaded, extra resources and relay nodes are added to maintain good service. The approach improves user experience by reducing delay, saving energy, and supporting mobility. -
Reliability-Driven End–End–Edge Collaboration for Energy Minimization in Large-Scale Cyber-Physical Systems
This project focuses on making large-scale cyber-physical systems, like smart factories or connected devices, more energy-efficient and reliable. It studies how devices and edge computers can work together to handle tasks without wasting energy. The researchers created a method to group tasks, control them efficiently, and offload work smartly. Their approach reduced energy use by over 50% compared to other methods. -
An Energy-Efficient Deep Mutual Learning System Based on D2D-U Communications
This project focuses on helping mobile devices learn from each other without sharing private data. The system uses direct device-to-device communication over unlicensed spectrum. It finds the best way to pair devices and allocate communication resources to save energy. The results show that this method improves learning between devices. -
Optimizing D2D Communication With Practical STAR-RIS and Irregular Configurations
This project improves device-to-device wireless communication using smart surfaces that can send and reflect signals at the same time. It makes the system cheaper and able to cover more area by using simple signal controllers. The research also proposes turning on only some surface elements in a smart way to improve performance. Their method boosts both the communication speed and energy efficiency compared to existing systems. -
Reliability in Post-Disaster Networks A Novel Interference-Mitigation Strategy
This project studies how to keep mobile networks working well after a disaster. It looks at how active and inactive base stations affect signal quality for users. The study proposes a way to improve coverage and reliability by selectively silencing some base stations. The results show that this method can help users stay connected even in emergency situations.
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How We Help You with Device-To-Device Communication Projects
At UniPhD, we provide complete guidance and support for Device-To-Device Communication ieee projects for MTech, ME, Master’s, and PhD students. Our team assists you at every stage from topic selection to coding, report writing, and result analysis.
We also help you choose a suitable IEEE base paper and guide you in developing your project using Python-based tools and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, Flask, and Streamlit. In addition, we support implementation and simulation through platforms like MATLAB, Simulink, and NS2, depending on project requirements.
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.
Device-To-Device Communication Thesis and Dissertation Writing
UniPhD has a team of experienced academic writers who specialize in Device-To-Device Communication research and thesis development. We offer fast-track dissertation writing services to help you complete your Device-To-Device 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.
Device-To-Device 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 Device-To-Device Communication final year project.
Device-To-Device Communication Research Support for PhD Scholars
UniPhD offers advanced Device-To-Device 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.