Optimization of RIS-aided MIMO Systems via the Cutoff Rate

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Title: Optimization of RIS-aided MIMO Systems via the Cutoff Rate
Authors: Perović, Nemanja StefanTran, Le-NamDi Renzo, MarcoFlanagan, Mark F.
Permanent link: http://hdl.handle.net/10197/12186
Date: 14-May-2021
Online since: 2021-05-20T11:46:24Z
Abstract: The main difficulty concerning optimizing the mutual information (MI) in reconfigurable intelligent surface (RIS)-aided communication systems with discrete signaling is the inability to formulate this optimization problem in an analytically tractable manner. Therefore, we propose to use the cutoff rate (CR) as a more tractable metric for optimizing the MI and introduce two optimization methods to maximize the CR. The first method is based on the projected gradient method (PGM), while the second method is derived from the principles of successive convex approximation (SCA). Simulation results show that the proposed optimization methods significantly enhance the CR and the corresponding MI.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Wireless Communications Letters
Copyright (published version): 2021 IEEE
Keywords: Channel cutoff rate (CR)Mutual informationMultiple-input multiple-output (MIMO)OptimizationReconfigurable intelligent surfaces (RISs)
DOI: 10.1109/lwc.2021.3077579
Language: en
Status of Item: Peer reviewed
ISSN: 2162-2337
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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