RIS-Aided Multiple-Input Multiple-Output Broadcast Channel Capacity

H. D. Tuan, A. A. Nasir, E. Dutkiewicz, H. V. Poor, L. Hanzo

Research output: Contribution to journalArticlepeer-review

Abstract

Scalable algorithms are conceived for obtaining the sum-rate capacity of the reconfigurable intelligent surface (RIS)-Aided multiuser (MU) multiple-input multiple-output (MIMO) broadcast channel (BC), where a multi-Antenna base station (BS) transmits signals to multi-Antenna users with the help of an RIS equipped with a massive number of finite-resolution programmable reflecting elements (PREs). As a byproduct, scalable path-following algorithms emerge for determining the sum-rate capacity of the conventional MIMO BCs, closing a long-standing open problem of information theory. The paper also develops scalable algorithms for maximizing the minimum rate (max-min rate optimization) of the users achieved by the joint design of RIS's PRE and transmit beamforming for such an RIS-Aided BC. The simulations provided confirm the high performance achieved by the algorithms developed, despite their low computational complexity.

Original languageEnglish (US)
Pages (from-to)117-132
Number of pages16
JournalIEEE Transactions on Communications
Volume72
Issue number1
DOIs
StatePublished - Jan 1 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • Reconfigurable intelligent surface (RIS)-Aided communication
  • mixed discrete continuous optimization
  • scalable algorithms
  • sum capacity

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