Application of Massive MIMO Technologies to 5G Communications (Phase 2)

This project addresses the ongoing research and implementation of key enabling technologies for the 5G communications standard, focusing on the challenges and solutions associated with Massive MIMO. The current context demands that 5G meet high speed and coverage requirements, with Massive MIMO being a fundamental technology that still presents significant limitations, especially in channel estimation (CSI) due to the large number of base station antennas, leading to pilot contamination and high computational complexity. The methodology involves exhaustive research, utilizing descriptive, inductive, and deductive approaches through the analysis of scientific literature in databases such as ScienceDirect and IEEE Xplorer. Proposed solutions from the literature are explored, such as channel estimation methods based on Zadoff-Chu sequences to reduce complexity and latency, the use of algorithms based on the 2D Fast Fourier Transform (2D-DFT) for DOA estimation, and the application of codebooks. Furthermore, improvements to classical receivers for handling the large number of antennas will be investigated. Finally, an experimental phase is planned to validate the impact of these technologies on 5G performance.<br/><br/><b>Goal</b>: <br/>The primary objective of this project is to determine and analyze emerging technologies, with a specific focus on Massive MIMO, that will offer the greatest benefit for the implementation and optimization of 5G communications.<br/><br/><b>Research lines</b>: <br/>Telecommunications and information technologies