BER Performance of Spatial Modulation Systems Under a Non-Stationary Massive MIMO Channel Model

Cheng-Xiang Wang,Li Yan,Xuming Fang,Stephen Mclaughlin,Yu Fu

doi:10.1109/access.2020.2977139

Abstract

In this paper, the bit error rate (BER) performance of spatial modulation (SM) systems is investigated both theoretically and by simulation in a non-stationary Kronecker-based massive multiple-input-multiple-output (MIMO) channel model in multi-user (MU) scenarios. Massive MIMO SM systems are considered in this paper using both a time-division multiple access (TDMA) scheme and a block diagonalization (BD) based precoding scheme, for different system settings. Their performance is compared with a vertical Bell labs layered space-time (V-BLAST) architecture based system and a conventional channel inversion system. It is observed that a higher cluster evolution factor can result in better BER performance of SM systems due to the low correlation among sub-channels. Compared with the BD-SM system, the SM system using the TDMA scheme obtains a better BER performance but with a much lower total system data rate. The BD-MU-SM system achieves the best trade-off between the data rate and the BER performance among all of the systems considered. When compared with the V-BLAST system and the channel inversion system, SM approaches offer advantages in performance for MU massive MIMO systems.

Highlights

Fifth generation (5G) wireless communication systems are accelerating towards their final deployment
For the block diagonalization (BD)-spatial modulation (SM) system, 32 beamforming patterns are used by each user, the index can encode 5 bits of information, the other 2 bits encoded in QPSK modulation symbols
For the BD-MU-SM system, as the precoding matrix is applied to the transmitted signal, this results in a loss of transmit power for IUI cancellation

Summary

INTRODUCTION

Fifth generation (5G) wireless communication systems are accelerating towards their final deployment. From these two figures, it can be observed that in this massive MIMO channel model, a higher cluster evolution factors can result in a smaller number of clusters shared by different antennas. It can be observed that in this massive MIMO channel model, a higher cluster evolution factors can result in a smaller number of clusters shared by different antennas This phenomenon will lead to lower correlation between sub-channels. THE THEORETICAL BER EXPRESSION OF TDMA-MU-SM SYSTEM For a TDMA-MU-SM system, at each time instant, all Tx antennas only transmit data to one user This is similar to the conventional point-to-point scenario and its theoretical BER can be approached via the union bound method mentioned in [14], [44], [53], [54].

THEORETICAL BER EXPRESSION OF BD-MU-SM SYSTEM

RESULTS AND ANALYSIS

CONCLUSION