Reference Signal-Aided Channel Estimation in Spatial Media-Based Modulation Systems

TL;DR

This paper introduces reference signal-aided channel estimation methods for spatial media-based modulation systems, providing theoretical bounds and simulation results to improve realistic performance analysis.

Contribution

First to propose LS and MMSE channel estimation schemes for MBM systems with practical channel knowledge assumptions.

Findings

Proposed estimation schemes outperform perfect CSI assumptions at high SNR.

Derived theoretical upper bounds closely match simulation results.

Enhanced understanding of detection performance in MBM systems.

Abstract

In this letter, we study the reference signal-aided channel estimation concept which is a crucial requirement to address the realistic performance of spatial media-based modulation (SMBM) systems where the radio frequency mirrors are deployed along with the multiple transmit antennas. Accordingly, least squares and linear minimum mean square error-based channel estimation schemes are proposed for MBM-based systems for the first time in the literature where former studies mainly assume either perfect channel state information or an error model on channel coefficients. In addition, corresponding symbol detection performance is studied. To measure the efficiency of the proposed channel estimation approaches, the theoretical upper bounds on average bit error rate are derived and shown to be well overlapped with the computer simulations for the medium and high signal-to-noise ratio regions. This study is important due to the implementation of channel estimation as well as the theoretical derivation of detection bounds for MBM-based communication systems.