Performance of reconfigurable intelligent surfaces in the presence of generalized Gaussian noise

Mohjazi, L. , Bariah, L., Muhaidat, S. and Imran, M. A. (2022) Performance of reconfigurable intelligent surfaces in the presence of generalized Gaussian noise. IEEE Communications Letters, 26(4), pp. 773-777. (doi: 10.1109/LCOMM.2022.3145291)

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In this letter, we investigate the performance of reconfigurable intelligent surface (RIS)-assisted communications, under the assumption of generalized Gaussian noise (GGN), over Rayleigh fading channels. Specifically, we consider an RIS, equipped with N reflecting elements, and derive a novel closed-form expression for the symbol error rate (SER) of arbitrary modulation schemes. The usefulness of the derived new expression is that it can be used to capture the SER performance in the presence of special additive noise distributions such as Gamma, Laplacian, and Gaussian noise. These special cases are also considered and their associated asymptotic SER expressions are derived, and then employed to quantify the achievable diversity order of the system. The theoretical framework is corroborated by numerical results, which reveal that the shaping parameter of the GGN (α) has a negligible effect on the diversity order of RIS-assisted systems, particularly for large α values. Accordingly, the maximum achievable diversity order is determined by N.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Bariah, Dr Lina and Imran, Professor Muhammad and Mohjazi, Dr Lina
Authors: Mohjazi, L., Bariah, L., Muhaidat, S., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:IEEE Communications Letters
ISSN (Online):1558-2558
Published Online:20 January 2022
Copyright Holders:Copyright © 2021 IEEE
First Published:First published in IEEE Communications Letters 26(4): 773-777
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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