Massive MIMO Systems: Signal Processing Challenges and Research Trends

TL;DR

This paper provides a comprehensive overview of the signal processing challenges, system models, and future research directions for massive MIMO systems, emphasizing their operational requirements and algorithmic solutions.

Contribution

It offers a detailed tutorial on massive MIMO architectures, highlighting key challenges, processing algorithms, and future research trends in the field.

Findings

Simulation results demonstrate algorithm performance under various scenarios

Operational requirements for massive MIMO are identified and analyzed

Future research directions are outlined for signal processing in massive MIMO

Abstract

This article presents a tutorial on multiuser multiple-antenna wireless systems with a very large number of antennas, known as massive multi-input multi-output (MIMO) systems. Signal processing challenges and future trends in the area of massive MIMO systems are presented and key application scenarios are detailed. A linear algebra approach is considered for the description of the system and data models of massive MIMO architectures. The operational requirements of massive MIMO systems are discussed along with their operation in time-division duplexing mode, resource allocation and calibration requirements. In particular, transmit and receiver processing algorithms are examined in light of the specific needs of massive MIMO systems. Simulation results illustrate the performance of transmit and receive processing algorithms under scenarios of interest. Key problems are discussed and future trends in the area of massive MIMO systems are pointed out.