Optimal Phase Shift Design For Fair Allocation in RIS Aided Uplink Network Using Statistical CSI

Athira Subhash, Abla Kammoun, Ahmed Elzanaty, Sheetal Kalyani, Yazan H. Al-Badarneh, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Reconfigurable intelligent surfaces (RIS) can be crucial in next-generation communication systems. However, designing the RIS phases according to the instantaneous channel state information (CSI) can be challenging in practice due to the short coherent time of the channel. In this regard, we propose a novel algorithm based on the channel statistics of massive multiple input multiple output systems rather than the instantaneous CSI. The beamforming at the base station (BS), power allocation of the users, and phase shifts at the RIS elements are optimized to maximize the minimum signal-to-interference and noise ratio (SINR), guaranteeing fair operation among various users. In particular, we design the RIS phases by leveraging the asymptotic deterministic equivalent of the minimum SINR that depends only on the channel statistics. This significantly reduces the computational complexity and the amount of controlling data between the BS and RIS for updating the phases. This setup is also useful for electromagnetic fields (EMF)-aware systems with constraints on the maximum user’s exposure to EMF. The numerical results show that the proposed algorithms achieve more than 100% gain in terms of minimum SINR, compared to a system with random RIS phase shifts, when 40 RIS elements, 20 antennas at the BS and 10 users, are considered.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Journal on Selected Areas in Communications
StatePublished - Jun 28 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-07-11

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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