Performance analysis of sparse code multiple access with variant MIMO techniques

摘要

Performance analysis, in terms of the (ABER), mutual information and theoretical capacity, for sparse code multiple access (SCMA) with variant multiple-input multiple-output (MIMO) techniques is presented and thoroughly discussed in this article. In particular, novel combination between space modulation techniques (SMTs) and SCMA is proposed and analyzed. As well, the performance of spatial multiplexing (SMX)-SCMA MIMO system is presented and used as a benchmark for the sake of comparison. Additionally, several designs for the mother constellation (MC) matrices are studied and their impact on the performance of the considered MIMO system is investigated. It is reported that different MC designs can lead to different performance and the performance of both MIMO systems can be optimized based on the considered codebook design. The closed-form analytical upper bound of the ABER over Rayleigh, Rician and Nakagami-m fading channels is derived and corroborated through Monte Carlo simulation results. Also, the theoretical capacity and the mutual information for SCMA-SMTS and SCMA-SMX MIMO systems are derived and studied over the considered fading channels. Monte-Carlo simulation results reveal that the derived capacity is the true upper bound for the simulated mutual information results and the conditions under which the capacity can be achieved are discussed. The performances of the considered SCMA-MIMO systems are compared to (OFDMA)-MIMO systems and significant gains are reported. (C) 2020 Elsevier B.V. All rights reserved.