Secure Energy-Efficient Multi-RIS-aided SWIPT Networks

Chukwuemeka Nwufo; Yichuang Sun; Oluyomi Simpson

doi:10.1109/VCC60689.2023.10474823

Secure Energy-Efficient Multi-RIS-aided SWIPT Networks

Chukwuemeka Nwufo, Yichuang Sun, Oluyomi Simpson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

This paper considers a SWIPT network in which an access point (AP) serves multiple information decoding receivers(IDRs) and energy harvesting receivers (EHRs) assisted by several dynamically controlled reconfigurable intelligent surfaces (RIS).An energy efficiency (EE) maximization problem is formulated by the joint optimization of the transmit beamforming, artificial noise (AN) covariance, the passive beamforming at the RISs, and the RIS on/off control mechanism. Due to the non-convexity of theproblem, semi-definite relaxation (SDR) is utilized to simplify the problem. A practical solution based on alternation optimization is proposed to obtain the suboptimal solution. Furthermore, a low complexity greedy search method is proposed for the RIS on/off control. Simulation results show that the EE is significantly enhanced by employing dynamic control of multiple RIS with AN. In addition, the effect of increasing the circuit power and the number of RISs can be harmful to the system-wide EE.

Original language	English
Title of host publication	2023 IEEE Virtual Conference on Communications (VCC)
Place of Publication	NY, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	979-8-3503-1880-7
ISBN (Print)	979-8-3503-1881-4
DOIs	https://doi.org/10.1109/VCC60689.2023.10474823
Publication status	Published - 30 Nov 2023
Event	2023 IEEE Virtual Conference on Communications (VCC) - Virtual, Beijing, China Duration: 28 Nov 2023 → 30 Nov 2023 https://www.aconf.org/conf_192685.html

Conference

Conference	2023 IEEE Virtual Conference on Communications (VCC)
Abbreviated title	IEEE VCC 2023
Country/Territory	China
City	Beijing
Period	28/11/23 → 30/11/23
Internet address	https://www.aconf.org/conf_192685.html

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© 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/VCC60689.2023.10474823
Accepted author manuscript, 1.46 MBLicence: Unspecified

Cite this

@inproceedings{7a8961734ed24f6484a0c79c3c4c4869,

title = "Secure Energy-Efficient Multi-RIS-aided SWIPT Networks",

abstract = "This paper considers a SWIPT network in which an access point (AP) serves multiple information decoding receivers(IDRs) and energy harvesting receivers (EHRs) assisted by several dynamically controlled reconfigurable intelligent surfaces (RIS).An energy efficiency (EE) maximization problem is formulated by the joint optimization of the transmit beamforming, artificial noise (AN) covariance, the passive beamforming at the RISs, and the RIS on/off control mechanism. Due to the non-convexity of theproblem, semi-definite relaxation (SDR) is utilized to simplify the problem. A practical solution based on alternation optimization is proposed to obtain the suboptimal solution. Furthermore, a low complexity greedy search method is proposed for the RIS on/off control. Simulation results show that the EE is significantly enhanced by employing dynamic control of multiple RIS with AN. In addition, the effect of increasing the circuit power and the number of RISs can be harmful to the system-wide EE.",

author = "Chukwuemeka Nwufo and Yichuang Sun and Oluyomi Simpson",

note = "{\textcopyright} 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/VCC60689.2023.10474823; 2023 IEEE Virtual Conference on Communications (VCC), IEEE VCC 2023 ; Conference date: 28-11-2023 Through 30-11-2023",

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doi = "10.1109/VCC60689.2023.10474823",

language = "English",

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TY - GEN

T1 - Secure Energy-Efficient Multi-RIS-aided SWIPT Networks

AU - Nwufo, Chukwuemeka

AU - Sun, Yichuang

AU - Simpson, Oluyomi

N1 - © 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/VCC60689.2023.10474823

PY - 2023/11/30

Y1 - 2023/11/30

N2 - This paper considers a SWIPT network in which an access point (AP) serves multiple information decoding receivers(IDRs) and energy harvesting receivers (EHRs) assisted by several dynamically controlled reconfigurable intelligent surfaces (RIS).An energy efficiency (EE) maximization problem is formulated by the joint optimization of the transmit beamforming, artificial noise (AN) covariance, the passive beamforming at the RISs, and the RIS on/off control mechanism. Due to the non-convexity of theproblem, semi-definite relaxation (SDR) is utilized to simplify the problem. A practical solution based on alternation optimization is proposed to obtain the suboptimal solution. Furthermore, a low complexity greedy search method is proposed for the RIS on/off control. Simulation results show that the EE is significantly enhanced by employing dynamic control of multiple RIS with AN. In addition, the effect of increasing the circuit power and the number of RISs can be harmful to the system-wide EE.

AB - This paper considers a SWIPT network in which an access point (AP) serves multiple information decoding receivers(IDRs) and energy harvesting receivers (EHRs) assisted by several dynamically controlled reconfigurable intelligent surfaces (RIS).An energy efficiency (EE) maximization problem is formulated by the joint optimization of the transmit beamforming, artificial noise (AN) covariance, the passive beamforming at the RISs, and the RIS on/off control mechanism. Due to the non-convexity of theproblem, semi-definite relaxation (SDR) is utilized to simplify the problem. A practical solution based on alternation optimization is proposed to obtain the suboptimal solution. Furthermore, a low complexity greedy search method is proposed for the RIS on/off control. Simulation results show that the EE is significantly enhanced by employing dynamic control of multiple RIS with AN. In addition, the effect of increasing the circuit power and the number of RISs can be harmful to the system-wide EE.

U2 - 10.1109/VCC60689.2023.10474823

DO - 10.1109/VCC60689.2023.10474823

M3 - Conference contribution

SN - 979-8-3503-1881-4

BT - 2023 IEEE Virtual Conference on Communications (VCC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - NY, USA

T2 - 2023 IEEE Virtual Conference on Communications (VCC)

Y2 - 28 November 2023 through 30 November 2023

ER -

Secure Energy-Efficient Multi-RIS-aided SWIPT Networks

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