Massive MIMO Projects for ME, MTech, Masters, MS abroad, and PhD students. These Massive MIMO 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 Massive MIMO Projects
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Analysis of Uplink and Downlink Spatial Channel Reciprocity When Using Asymmetric Transceiver
This project studies a new type of wireless system that uses more antennas for sending than for receiving signals. It aims to keep high-speed data performance while reducing cost and power use. The researchers examine how the differences in antenna setups affect the communication between devices. They find that even with uneven antennas, certain signal patterns remain consistent in simple channel conditions. -
Digital Polar Transmitters for Massive MIMO Sum-Rate and Power Efficiency Analysis
This project studies a new type of radio transmitter called a digital polar transmitter for large 5G systems with many antennas. It shows how this transmitter can send data efficiently to multiple users at the same time. The work also compares its performance and energy use with traditional transmitters. Results show it can send data reliably while saving over 36% of power. -
Joint Optimization of Uplink Power and Computational Resources in Mobile Edge Computing-Enabled Cell-Free Massive MIMO
This project studies how to improve wireless networks and mobile computing together. It combines a type of advanced antenna system with edge computing to share both communication and computing resources efficiently. The goal is to save user device power, reduce delays, and improve data transmission and computation. The researchers propose and test new methods to manage these resources for better performance. -
Joint Resource Management and Pricing for Task Offloading in Serverless Edge Computing
This project studies how to manage computing resources and prices in edge servers to help devices run tasks faster and save energy. The researchers model the problem as a game between the server and the devices. They develop fast algorithms that decide which tasks to run on the server, how to price them, and what apps to store. Their methods increase server revenue while reducing energy use for devices. -
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.
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