Rate-Splitting Multiple Access for Uplink Massive MIMO With Electromagnetic Exposure Constraints

Hanyu Jiang, Li You, Ahmed Elzanaty, Jue Wang, Wenjin Wang, Xiqi Gao, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Over the past few years, the prevalence of wireless devices has become one of the essential sources of electromagnetic (EM) radiation to the public. Facing with the swift development of wireless communications, people are skeptical about the risks of long-term exposure to EM radiation. As EM exposure is required to be restricted at user terminals, it is inefficient to blindly decrease the transmit power, which leads to limited spectral efficiency and energy efficiency (EE). Recently, rate-splitting multiple access (RSMA) has been proposed as an effective way to provide higher wireless transmission performance, which is a promising technology for future wireless communications. To this end, we propose using RSMA to increase the EE of massive MIMO uplink while limiting the EM exposure of users. In particularly, we investigate the optimization of the transmit covariance matrices and decoding order using statistical channel state information (CSI). The problem is formulated as non-convex mixed integer program, which is in general difficult to handle. We first propose a modified water-filling scheme to obtain the transmit covariance matrices with fixed decoding order. Then, a greedy approach is proposed to obtain the decoding permutation. Numerical results verify the effectiveness of the proposed EM exposure-aware EE maximization scheme for uplink RSMA.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Journal on Selected Areas in Communications
StatePublished - Jan 30 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-02-02
Acknowledgements: The authors would like to thank anonymous reviewers for their constructive comments and suggestions.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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