Minimum Error Pursuit Algorithm for Symbol Detection in MBM Massive-MIMO

doi:10.1109/LCOMM.2020.3029004

2021-02-01

PRE

Arijit Datta *

Manish Mandloi

Vimal Bhatia

DOI：10.1109/LCOMM.2020.3029004

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摘要

En 中文

Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications. MBM-mMIMO utilizes less transmit power and radio resources measured against mMIMO to yield high spectral efficiency and high data rate. However, symbol detection in the uplink of MBM-mMIMO is challenging due to the sparse nature of the received signal, and the cumulative effect of inter-user interference and noise. In this letter, support recovery error constraint-based low complexity sequential symbol detection technique is proposed for uplink MBM-mMIMO system. The proposed MBM-mMIMO detection technique exploits the upper bound on support recovery error and iteratively minimizes the residual error associated with the estimated transmit vector. A reduced message space is also introduced to further enrich the exploration capability of the proposed technique. Simulation results reveal the viability of proposed techniques over several state-of-the-art MBM-mMIMO detection techniques as BER performance and computational complexity are concerned.

Keyword:

Uplink

Modulation

Radio frequency

Mirrors

Wireless communication

Transmitting antennas

Space exploration

Massive MIMO

MBM

support recovery

maximum likelihood