Integration of massive MIMO and RIS to serve energy and information users

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Abstract

We consider a reflecting intelligent surface (RIS)assisted massive multiple-input multiple-output (MIMO) system to facilitate simultaneous wireless information and power transfer (SWIPT) towards two groups of information users (IUs) and energy users (EUs) over Rician fading channels. By considering partial zero-forcing (PZF) precoding at the base station (BS), we derive closed-from expressions for the achievable downlink spectral efficiency (SE) of the IUs and average harvested energy at the EUs. Our results rigorously demonstrate the impact of various system parameters on the actual performance. We next propose a maxmin fairness transmit power allocation which seeks to maximize the minimum harvested power by EUs, subject to quality-of-service constraints at all IUs, relying on statistical channel state information (CSI) and a realistic non-linear energy harvesting (EH) model for the EUs. Our numerical results reveal that the interplay between the RIS and massive MIMO can significantly boost the performance of SWIPT in wireless networks.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Communications, ICC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538674628
ISBN (Print)9781538674635
DOIs
Publication statusPublished - 23 Oct 2023
EventIEEE International Conference on Communications 2023 - Rome, Italy
Duration: 28 May 202301 Jun 2023
https://icc2023.ieee-icc.org/

Publication series

NameICC International Conference on Communications: Proceedings
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications 2023
Abbreviated titleIEEE ICC 2023
Country/TerritoryItaly
CityRome
Period28/05/202301/06/2023
Internet address

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