Application of Massive MIMO Technologies to 5G Communications (Phase 1)

This project focuses on the research and analysis of key technologies for 5G deployment, with special attention to Massive MIMO. The current 5G landscape requires the integration of multiple technologies to meet demands for high speed and coverage. Critical problems in Massive MIMO are identified, primarily Channel State Information (CSI) estimation, where the large number of base station antennas causes pilot contamination and high complexity/latency with classical methods. To mitigate this, proposed solutions from the literature are explored, such as estimation methods based on Zadoff-Chu sequences, which reduce complexity by avoiding channel matrix inversion, and the use of fast 2D-DFT based DOA estimation algorithms leveraging Uniform Rectangular Array (URA) characteristics. Furthermore, improvements to classical detection algorithms using codebooks are investigated. The methodology combines historical/descriptive research (analyzing articles in databases like ScienceDirect and IEEE Xplorer) with inductive and deductive approaches to consolidate conclusions. Finally, experimental research is planned to verify the impact of implemented MIMO technologies on 5G communications.<br/><br/><b>Goal</b>: <br/>The primary objective of this project is to determine which technologies, with a specific focus on Massive MIMO, will offer the greatest benefits for the implementation and optimization of 5G communications, addressing current limitations in channel estimation and detection.<br/><br/><b>Research lines</b>: <br/>Telecommunications and information technologies