Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Zhaohui Yang; Mingzhe Chen; Walid Saad; Wei Xu; Mohammad Shikh-Bahaei; H. Vincent Poor; Shuguang Cui

doi:10.1109/TWC.2021.3098632

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

Research output: Contribution to journal › Article › peer-review

162 Citations (Scopus)

Abstract

This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs. This problem is posed as a joint optimization problem of transmit beamforming and RIS control, whose goal is to maximize the energy efficiency under minimum rate constraints of the users. To solve this problem, two iterative algorithms are proposed for the singleuser case and multi-user case. For the single-user case, the phase optimization problem is solved by using a successive convex approximation method, which admits a closed-form solution at each step. Moreover, the optimal RIS on-off status is obtained by using the dual method. For the multi-user case, a low-complexity greedy searching method is proposed to solve the RIS on-off optimization problem. Simulation results show that the proposed scheme achieves up to 33% and 68% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.

Original language	English
Journal	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
DOIs	https://doi.org/10.1109/TWC.2021.3098632
Publication status	Accepted/In press - 2021

Keywords

Array signal processing
Downlink
Energy efficiency
integer programming
MISO communication
Optimization
phase shift optimization
Power demand
reconfigurable intelligent surface
Transmitting antennas
Wireless networks

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TWC.2021.3098632

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@article{0d6d3fc8fb9c4f6e8d4eab6d54ec228e,

title = "Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces",

abstract = "This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs. This problem is posed as a joint optimization problem of transmit beamforming and RIS control, whose goal is to maximize the energy efficiency under minimum rate constraints of the users. To solve this problem, two iterative algorithms are proposed for the singleuser case and multi-user case. For the single-user case, the phase optimization problem is solved by using a successive convex approximation method, which admits a closed-form solution at each step. Moreover, the optimal RIS on-off status is obtained by using the dual method. For the multi-user case, a low-complexity greedy searching method is proposed to solve the RIS on-off optimization problem. Simulation results show that the proposed scheme achieves up to 33% and 68% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.",

keywords = "Array signal processing, Downlink, Energy efficiency, integer programming, MISO communication, Optimization, phase shift optimization, Power demand, reconfigurable intelligent surface, Transmitting antennas, Wireless networks",

author = "Zhaohui Yang and Mingzhe Chen and Walid Saad and Wei Xu and Mohammad Shikh-Bahaei and Poor, {H. Vincent} and Shuguang Cui",

note = "Funding Information: This work was supported in part by the U.S. National Science Foundation under Grant 2030215, Grant CNS-1836802, and Grant CNS-1909372; in part by the Engineering and Physical Sciences Research Council (EPSRC) Scalable Full Duplex Dense Wireless Networks (SENSE) Project under Grant EP/P003486/1; in part by the NSFC under Grant 62022026; in part by the Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars under Grant BK20190012; in part by the Fundamental Research Funds for the Central Universities under Grant 2042021kf1030; and in part by EPSRC Internet of Silicon Retinas (IoSIRE) Project under Grant EP/P022723/1. Publisher Copyright: IEEE",

year = "2021",

doi = "10.1109/TWC.2021.3098632",

language = "English",

journal = "IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

AU - Yang, Zhaohui

AU - Chen, Mingzhe

AU - Saad, Walid

AU - Xu, Wei

AU - Shikh-Bahaei, Mohammad

AU - Poor, H. Vincent

AU - Cui, Shuguang

N1 - Funding Information: This work was supported in part by the U.S. National Science Foundation under Grant 2030215, Grant CNS-1836802, and Grant CNS-1909372; in part by the Engineering and Physical Sciences Research Council (EPSRC) Scalable Full Duplex Dense Wireless Networks (SENSE) Project under Grant EP/P003486/1; in part by the NSFC under Grant 62022026; in part by the Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars under Grant BK20190012; in part by the Fundamental Research Funds for the Central Universities under Grant 2042021kf1030; and in part by EPSRC Internet of Silicon Retinas (IoSIRE) Project under Grant EP/P022723/1. Publisher Copyright: IEEE

PY - 2021

Y1 - 2021

N2 - This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs. This problem is posed as a joint optimization problem of transmit beamforming and RIS control, whose goal is to maximize the energy efficiency under minimum rate constraints of the users. To solve this problem, two iterative algorithms are proposed for the singleuser case and multi-user case. For the single-user case, the phase optimization problem is solved by using a successive convex approximation method, which admits a closed-form solution at each step. Moreover, the optimal RIS on-off status is obtained by using the dual method. For the multi-user case, a low-complexity greedy searching method is proposed to solve the RIS on-off optimization problem. Simulation results show that the proposed scheme achieves up to 33% and 68% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.

AB - This paper investigates the problem of resource allocation for a wireless communication network with distributed reconfigurable intelligent surfaces (RISs). In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs. This problem is posed as a joint optimization problem of transmit beamforming and RIS control, whose goal is to maximize the energy efficiency under minimum rate constraints of the users. To solve this problem, two iterative algorithms are proposed for the singleuser case and multi-user case. For the single-user case, the phase optimization problem is solved by using a successive convex approximation method, which admits a closed-form solution at each step. Moreover, the optimal RIS on-off status is obtained by using the dual method. For the multi-user case, a low-complexity greedy searching method is proposed to solve the RIS on-off optimization problem. Simulation results show that the proposed scheme achieves up to 33% and 68% gains in terms of the energy efficiency in both single-user and multi-user cases compared to the conventional RIS scheme and amplify-and-forward relay scheme, respectively.

KW - Array signal processing

KW - Downlink

KW - Energy efficiency

KW - integer programming

KW - MISO communication

KW - Optimization

KW - phase shift optimization

KW - Power demand

KW - reconfigurable intelligent surface

KW - Transmitting antennas

KW - Wireless networks

UR - http://www.scopus.com/inward/record.url?scp=85111554338&partnerID=8YFLogxK

U2 - 10.1109/TWC.2021.3098632

DO - 10.1109/TWC.2021.3098632

M3 - Article

AN - SCOPUS:85111554338

SN - 1536-1276

JO - IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

JF - IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

ER -

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces

Abstract

Keywords

UN SDGs

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