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Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Apr 2023Embargo end date: 01 Jan 2022 Spain Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Vehicular Technology, volume 72, pages 4,580-4,597 (issn: 0018-9545, eissn: 1939-9359,

Authors: Mohammad Soleymani; Ignacio Santamaria; Eduard A. Jorswieck;

doi: 10.1109/tvt.2022.3222633 , 10.48550/arxiv.2208.08753

arXiv: 2208.08753

Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling

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Abstract

In this paper, we propose an optimization framework for rate splitting (RS) techniques in multiple-input multiple-output (MIMO) reconfigurable intelligent surface (RIS)-assisted systems, possibly with I/Q imbalance (IQI). This framework can be applied to any optimization problem in which the objective and/or constraints are linear functions of the rates and/or transmit covariance matrices. Such problems include minimum-weighted and weighted-sum rate maximization, total power minimization for a target rate, minimum-weighted energy efficiency (EE) and global EE maximization. The framework may be applied to any interference-limited system with hardware impairments. For the sake of illustration, we consider a multicell MIMO RIS-assisted broadcast channel (BC) in which the base stations (BSs) and/or the users may suffer from IQI. Since IQI generates improper noise, we consider improper Gaussian signaling (IGS) as an interference-management technique that can additionally compensate for IQI. We show that RS when combined with IGS can substantially improve the spectral and energy efficiency of overloaded networks (i.e., when the number of users per cell is larger than the number of transmit/receive antennas).

accepted at IEEE Transaction on Vehicular Technology

Country

Spain

Related Organizations

Technische Universität Braunschweig
Germany
University of Cantabria
Spain
University of Cantabria
Spain
University of Paderborn
Germany

Keywords

Signal Processing (eess.SP), FOS: Computer and information sciences, Rate splitting, Reflecting intelligent surface, Improper Gaussian signaling, Computer Science - Information Theory, Information Theory (cs.IT), Power minimization, Majorization minimization, MIMO broadcast channels, Energy efficiency, FOS: Electrical engineering, electronic engineering, information engineering, Spectral efficiency, Electrical Engineering and Systems Science - Signal Processing

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