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 language | English |
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Title of host publication | Proceedings of the IEEE International Conference on Communications, ICC 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Electronic) | 9781538674628 |
ISBN (Print) | 9781538674635 |
DOIs | |
Publication status | Published - 23 Oct 2023 |
Event | IEEE International Conference on Communications 2023 - Rome, Italy Duration: 28 May 2023 → 01 Jun 2023 https://icc2023.ieee-icc.org/ |
Publication series
Name | ICC International Conference on Communications: Proceedings |
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Publisher | IEEE |
ISSN (Print) | 1550-3607 |
ISSN (Electronic) | 1938-1883 |
Conference
Conference | IEEE International Conference on Communications 2023 |
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Abbreviated title | IEEE ICC 2023 |
Country/Territory | Italy |
City | Rome |
Period | 28/05/2023 → 01/06/2023 |
Internet address |