Assessment of Uplink Massive MIMO in Scattering Environment

A A Alzamil

doi:10.48084/etasr.3743

Abstract

This paper investigates the performance of massive MIMO systems under the effect of multipath propagation environment. Linear Minimum Mean Squared Error (MMSE) is considered to assess the performance of BPBK/OFDM based uplink massive MIMO transmission. Bit Error Rate (BER) and channel capacity in Non Line Of Site (NLOS) multipath fading environment are presented. The results show a correlation between the number of antennas and the performance of the system.

Highlights

MIMO technology is one of the essential factors that lead the development of wireless communications over the last couple of decades [1]
Data streams which represent the different signals sent by the various users in the massive MIMO system must be separated, which can be done by a number of detection techniques
Different estimation techniques have been used in [9] to investigate the influence of the number of active users on the channel capacity and their results show that channel capacity starts degrading after a certain point

Summary

INTRODUCTION

MIMO technology is one of the essential factors that lead the development of wireless communications over the last couple of decades [1]. Besides being extremely bandwidth efficient, recent MIMO based communication systems are capable of providing reliable transmission in the order of several Giga bits per second [2] Advancements in this area have been achieved through various MIMO detection techniques that offer improved performance and reduced complexity [3,4,5]. It has been shown that increasing the number of antennas in the BS enhances link reliability and improves data rate due to the increased number of possible paths for the signal [13] It enables the targeted use of the spectrum via the beamforming technology which results in robustness against interference and jamming [14, 15]. An OFDMbased uplink transmission case where the BS is equipped with a number of antennas larger than the number of users is considered

SYSTEM MODEL

SIGNAL DETECTION

SYSTEM SIMULATION

NUMERICAL RESULTS AND DISCUSSION

CONCLUSION