Generalized Spatial Modulation in Large-Scale Multiuser MIMO Systems
T. Lakshmi Narasimhan, P. Raviteja, and A. Chockalingam

TL;DR
This paper explores generalized spatial modulation (GSM) for large-scale multiuser MIMO uplink, providing analytical error bounds, low-complexity detection algorithms, and demonstrating significant spectral efficiency and power gains over traditional MIMO schemes.
Contribution
It introduces an ABEP analysis for multiuser GSM-MIMO, develops message passing detection and channel estimation algorithms, and shows GSM-MIMO's advantages over SM-MIMO and conventional MIMO.
Findings
ABEP upper bounds are tight at moderate to high SNR.
Proposed algorithms scale well and achieve near-optimal performance.
GSM-MIMO outperforms SM-MIMO and conventional MIMO by 2-9 dB at BER of 10^{-3}.
Abstract
Generalized spatial modulation (GSM) uses transmit antenna elements but fewer transmit radio frequency (RF) chains, . Spatial modulation (SM) and spatial multiplexing are special cases of GSM with and , respectively. In GSM, in addition to conveying information bits through conventional modulation symbols (for example, QAM), the indices of the active transmit antennas also convey information bits. In this paper, we investigate {\em GSM for large-scale multiuser MIMO communications on the uplink}. Our contributions in this paper include: () an average bit error probability (ABEP) analysis for maximum-likelihood detection in multiuser GSM-MIMO on the uplink, where we derive an upper bound on the ABEP, and () low-complexity algorithms for GSM-MIMO signal detection and channel estimation at the base station receiver based on…
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