[en] Stacked intelligent metasurfaces (SIM) is a revolutionary technology, which can outperform its single-layer counterparts by performing advanced signal processing relying on wave propagation. In this work, we exploit SIM to enable transmit precoding and receiver combining in holographic multiple-input multiple-output (HMIMO) communications, and we study the achievable rate by formulating a joint optimization problem of the SIM phase shifts at both sides of the transceiver and the covariance matrix of the transmitted signal. Notably, we propose its solution by means of an iterative optimization algorithm that relies on the projected gradient method, and accounts for all optimization parameters simultaneously. We also obtain the step size guaranteeing the convergence of the proposed algorithm. Simulation results provide fundamental insights such the performance improvements compared to the single-RIS counterpart and conventional MIMO system. Remarkably, the proposed algorithm results in the same achievable rate as the alternating optimization (AO) benchmark but with a less number of iterations.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Papazafeiropoulos, Anastasios ; University of Hertfordshire, Communications and Intelligent Systems Research Group, Hatfield, United Kingdom ; SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg
An, Jiancheng ; Nanyang Technological University, School of Electrical and Electronics Engineering, Jurong West, Singapore
Kourtessis, Pandelis ; University of Hertfordshire, Communications and Intelligent Systems Research Group, Hatfield, United Kingdom
Ratnarajah, Tharmalingam ; Institute for Digital Communications, The University of Edinburgh, School of Engineering, Edinburgh, United Kingdom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Achievable Rate Optimization for Stacked Intelligent Metasurface-Assisted Holographic MIMO Communications
Date de publication/diffusion :
17 mai 2024
Titre du périodique :
IEEE Transactions on Wireless Communications
ISSN :
1536-1276
eISSN :
1558-2248
Maison d'édition :
Institute of Electrical and Electronics Engineers Inc.
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