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Joint Optimization of Reconfigurable Intelligent Surfaces and Dynamic Metasurface Antennas for Massive MIMO Communications

Abstract : Reconfigurable intelligent surfaces (RISs) are a promising technology for enhancing the communication performance of future wireless systems by controlling the wireless environment. In addition, dynamic metasurface antennas (DMAs) are a promising technology for increasing the number of antenna elements of multiple-input multiple-output (MIMO) systems at a reduced cost and power consumption compared to conventional MIMO arrays. In this paper, we amalgamate these two technologies in order to realize massive MIMO communication networks with superior performance at a reduced complexity. We first introduce the considered RIS-assisted DMA-based MIMO system, and we then formulate an optimization problem to maximize the system rate. The problem is solved by using an alternating optimization algorithm, which iteratively optimizes the RIS elements, as well as the precoding matrices and the DMA elements at the transceivers. Simulation results demonstrate that jointly utilizing RISs for controlling the wireless environment and DMAs at the transceivers results in superior achieavble rates.
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https://hal-centralesupelec.archives-ouvertes.fr/hal-03762927
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Submitted on : Monday, August 29, 2022 - 10:44:29 AM
Last modification on : Monday, September 12, 2022 - 12:03:01 PM

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Xuewen Qian, Marco Di Renzo, Vincenzo Sciancalepore, Xavier Costa-Perez. Joint Optimization of Reconfigurable Intelligent Surfaces and Dynamic Metasurface Antennas for Massive MIMO Communications. 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2022, Trondheim, France. pp.450-454, ⟨10.1109/SAM53842.2022.9827859⟩. ⟨hal-03762927⟩

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