RIS-Aided Index Modulation with Greedy Detection over Rician Fading Channels
Aritra Basu, Soumya P. Dash, Aryan Kaushik, Debasish Ghose, Marco Di, Renzo, and Yonina C. Eldar

TL;DR
This paper analyzes RIS-assisted index modulation systems in Rician fading channels, deriving error probability and BER expressions, and highlighting performance saturation due to greedy detection at high SNRs.
Contribution
It introduces a performance analysis of RIS-aided index modulation with greedy detection in Rician channels, including new closed-form and asymptotic error expressions.
Findings
Performance saturation observed at high SNRs due to greedy detection.
Derived closed-form expressions for error probabilities and BER.
Identified SNR inflection point affecting system performance.
Abstract
Index modulation schemes for reconfigurable intelligent surfaces (RIS)-assisted systems are envisioned as promising technologies for fifth-generation-advanced and sixth-generation (6G) wireless communication systems to enhance various system capabilities such as coverage area and network capacity. In this paper, we consider a receive diversity RIS-assisted wireless communication system employing IM schemes, namely, space-shift keying (SSK) for binary modulation and spatial modulation (SM) for M-ary modulation for data transmission. The RIS lies in close proximity to the transmitter, and the transmitted data is subjected to a fading environment with a prominent line-of-sight component modeled by a Rician distribution. A receiver structure based on a greedy detection rule is employed to select the receive diversity branch with the highest received signal energy for demodulation. The…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Antenna and Metasurface Technologies · Advanced biosensing and bioanalysis techniques
