Wireless Communication Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Wireless 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 Wireless Communication Projects
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A Survey on Reconfigurable Intelligent Surface for Physical Layer ecurity of Next-Generation Wireless Communications
This project studies new ways to make future 6G wireless networks faster and more secure. It focuses on using special smart surfaces that can control signals to prevent eavesdropping. The research reviews different methods to improve security for various network types. It also discusses challenges and ideas for future wireless systems. -
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. -
Deep Conditional Generative Adversarial Networks for Efficient Channel Estimation in AmBC Systems
This project improves how battery-free devices communicate using signals from the environment. It uses a deep learning method called a conditional GAN to clean and estimate noisy signal data. The approach learns signal patterns better than older methods and makes communication more accurate and reliable. -
GAN-Based Evasion Attack in Filtered Multicarrier Waveforms Systems
This project studies how advanced AI, called GANs, can trick wireless communication systems. It shows that fake signals made by GANs can look almost exactly like real ones. The research tested this on modern multi-carrier signals used in networks. The results show that receivers can be fooled 99.7% of the time, revealing a serious security risk. -
RNN Based Channel Estimation in Doubly Selective Environments
This project focuses on improving wireless communication in fast-moving environments. It uses smart computer models called neural networks to better predict how signals change over time. The new method works faster and more accurately than older techniques. It also reduces the computing power needed, making it more efficient. -
Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task A Feasibility Study
This study looked at how the brain controls walking while doing thinking tasks. Healthy adults walked and performed tasks that tested memory and self-control. The researchers measured brain activity with EEG and tracked walking patterns in 3D. They found that self-control affects walking more than memory, which could help improve rehabilitation for older adults and people with brain disorders. -
Attention Mechanism-Aided Deep Reinforcement Learning for Dynamic Edge Caching
This project focuses on improving mobile networks by predicting what content users will need and storing it on nearby devices before it is requested. It designs a smart system that decides what to cache and when, using a type of artificial intelligence. The goal is to reduce network traffic and make better use of limited storage and network resources. The proposed method was tested and shown to work effectively in improving speed and efficiency. -
Latency-Aware Computation Offloading in Multi-RIS-Assisted Edge Networks
This project focuses on making mobile computing faster for devices like smartphones and IoT gadgets. It studies how to send tasks from devices to nearby powerful servers with less delay. The research uses special surfaces called RIS to improve wireless signals and chooses the best paths for data. The results show that using multiple RIS can reduce overall delays by up to 24%. -
A Design of Dual-Polarized Composite Patch-Monopole Antenna With Reconfigurable Radiation Pattern
This project develops a special antenna that can change the direction of its signal. It has small vertical elements that can be connected or disconnected to control the beam. The antenna can switch between one wide beam and three narrow beams in two directions. Tests show it works well for different signal polarizations. -
A Generalized Delay and Backlog Analysis for Multiplexing URLLC and eMBB: Reconfigurable Intelligent Surfaces or Decode-and-Forward
This project studies how to improve communication networks that carry both urgent and high-data traffic. It looks at using smart surfaces and relay nodes to strengthen signals and create multiple paths. The research predicts delays and data backlogs using a new mathematical approach. Results show this method gives more accurate performance estimates than older techniques. -
A Simulation Framework for Cooperative Reconfigurable Intelligent Surface-Based Systems
This project studies how to improve wireless communication using multiple smart reflecting surfaces called RIS. It uses computer simulations to see how signals travel and change when they bounce off these surfaces. The study measures how often signals drop and how long outages last under different conditions. It shows that using several RIS together can make the connection more reliable than using just one. -
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling
This project develops a smart feedback method for wireless communication systems that have multiple antennas. It uses a statistical model to simplify how devices send channel information to the base station. The method reduces computation and improves data rates compared to traditional approaches. It also works well for both single-user and multi-user scenarios. -
Channel Estimation for Multiple-Input Multiple-Output Orthogonal Chirp-Division Multiplexing Systems
This project focuses on improving wireless communication systems that use multiple antennas. It develops a new method to estimate the transmission channel accurately without wasting bandwidth. The method uses specially designed pilot signals that allow signals from all antennas to be separated clearly at the receiver. Tests show it gives more accurate results and better overall performance for high-speed wireless systems. -
ChannelComp: A General Method for Computation by Communications
This project develops a new method called ChannelComp that allows multiple wireless devices to combine their signals digitally at a receiver. Unlike traditional approaches, it works with digital communication, which is more reliable and widely used. The method finds the best way to encode signals for computing functions over the air. Simulations show it performs much better than older techniques, especially for multiplying signals. -
Design of a Closed-Loop Wireless Power Transfer System for an Implantable Drug Delivery Device
This project focuses on safely powering small medical devices inside the body without wires. The researchers built a system that can wirelessly recharge tiny batteries using standard parts. They tested how well it works when the coils are moved or misaligned. The system was able to recharge batteries reliably and efficiently while staying cool. -
Design of a Dual-Branch Resonator End-Launcher for Low-Loss WBAN Communications Using Wearable Waveguide Surfaces
This project develops a small, flexible device that can be built into clothing to help wearable electronics communicate wirelessly. It uses a specially designed surface in the fabric to send signals efficiently at 2.4 GHz. The device works well on the human body and leaves space for other electronics. It can operate on its own without wires or batteries. -
Efficient Embedded Fixed-Point Direction of Arrival Method
This project develops a method to locate Bluetooth devices indoors using radio signals. It focuses on small, low-power devices that cannot perform complex calculations easily. The researchers created a simpler, energy-efficient algorithm that quickly estimates the direction of signals with high accuracy. Experiments show it works much faster and uses less energy than traditional methods while keeping precise angle measurements. -
Enabling Flexible Arial Backhaul Links for Post Disasters A Design Using UAV Swarms and Distributed Charging Stations
This project focuses on using drones and charging stations to provide reliable data links to areas affected by disasters. The goal is to plan the positions and number of drones and stations to either reduce costs or improve service quality. The team developed smart methods to find near-optimal solutions that work almost as well as the best possible design. Simulations show that these methods are effective and practical for real-world use. -
Estimation of Interference Correlation in mmWave Cellular Systems
This project studies how signals from multiple devices interfere with a base station in a cellular network. The researchers focus on estimating this interference using the signals received by the base station. They use a special method that takes advantage of the way signals reflect in millimeter-wave frequencies to improve accuracy. The approach also reduces errors when dealing with large amounts of data. -
Fairness Enhancement of UAV Systems With Hybrid Active-Passive RIS
This project studies wireless communication using drones to connect with multiple users. It uses smart surfaces that can actively or passively reflect signals to improve coverage. The goal is to make the connection fair for all users by optimizing the drone’s path, signal direction, and surface settings. The results show that even a few active elements on the surface can greatly improve communication speed compared to fully passive surfaces.
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How We Help You with Wireless Communication Projects
At UniPhD, we provide complete guidance and support for Wireless 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.
Wireless Communication Thesis and Dissertation Writing
UniPhD has a team of experienced academic writers who specialize in Wireless Communication research and thesis development. We offer fast-track dissertation writing services to help you complete your Wireless 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.
Wireless 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 Wireless Communication final year project.
Wireless Communication Research Support for PhD Scholars
UniPhD offers advanced Wireless 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.