Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs

Dai, Jianxin, Wang, Yuanyuan, Pan, Cunhua, Zhi, Kangda, Ren, Hong and Wang, Kezhi (2021) Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs. IEEE Communications Letters. pp. 1-5. ISSN 1089-7798 (In Press)

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Official URL: https://doi.org/10.1109/LCOMM.2021.3097208

Abstract

We investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive multiple-input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) are configured at the base station (BS) in order to reduce the cost and power consumption. An approximate analytical expression for the downlink achievable rate is derived based on maximum ratio transmission (MRT) and additive quantization noise model (AQNM), and the rate maximization problem is solved by particle swarm optimization (PSO) method under both continuous phase shifts (CPSs) and discrete phase shifts (DPSs) at the RIS. Simulation results show that the downlink sum achievable rate tends to a constant with the increase of the number of quantization bits of DACs, and four quantization bits are enough to capture a large portion of the performance of the ideal perfect DACs case.

Item Type: Article
Uncontrolled Keywords: Downlink, Intelligent Reflecting Surface, low-resolution DACs, massive MIMO, Massive MIMO, Particle swarm optimization, Quantization (signal), Reconfigurable intelligent surface (RIS), Rician channels, Telecommunications, Wireless communication
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Elena Carlaw
Date Deposited: 04 Aug 2021 15:55
Last Modified: 04 Aug 2021 16:00
URI: http://nrl.northumbria.ac.uk/id/eprint/46847

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