Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems

SHI Weiping; WU Qingqing; WU Di; SHU Feng; WANG Jiangzhou

doi:10.23919/cje.2022.00.287

Volume 33 Issue 2

Mar. 2024

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Article Navigation > Chinese Journal of Electronics > 2024 > 33(2): 536-548

Weiping SHI, Qingqing WU, Di WU, et al., “Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems,” Chinese Journal of Electronics, vol. 33, no. 2, pp. 536–548, 2024 doi: 10.23919/cje.2022.00.287

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Weiping SHI, Qingqing WU, Di WU, et al., “Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems,” Chinese Journal of Electronics, vol. 33, no. 2, pp. 536–548, 2024 doi: 10.23919/cje.2022.00.287

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Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems

doi: 10.23919/cje.2022.00.287

SHI Weiping^1
,,
WU Qingqing^2
,,
WU Di^{3, 5
,},
SHU Feng^{3, 1
,
,},
WANG Jiangzhou^4
,

1.
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2.
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
3.
School of Information and Communication Engineering, Hainan University, Hainan 570228, China
4.
School of Engineering, University of Kent, Canterbury CT2 7NT, UK
5.
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China

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Author Bio:
Weiping SHI received the M.S. degrees from the Chongqing University of Posts and Telecommunications, China, in 2014. She is currently pursuing the Ph.D. degree with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, China. Her research interests include IRS-aided wireless communication, wireless energy transmission, and physical layer security. (Email: weipingshi@njust.edu.cn)

Qingqing WU received the B.E. and the Ph.D. degrees in electronic engineering from South China University of Technology and Shanghai Jiao Tong University (SJTU) in 2012 and 2016, respectively. From 2016 to 2020, he was a Research Fellow in the Department of Electrical and Computer Engineering at National University of Singapore. His current research interest includes intelligent reflecting surface (IRS), unmanned aerial vehicle (UAV) communications, and MIMO transceiver design. He has coauthored more than 100 IEEE journal papers with 26 ESI highly cited papers and 8 ESI hot papers, which have received more than 15,000 Google citations. He was listed as the Clarivate ESI Highly Cited Researcher in 2022 and 2021, the Most Influential Scholar Award in AI-2000 by Aminer in 2021 and World’s Top 2% Scientist by Stanford University in 2020 and 2021. He was the Recipient of the IEEE Communications Society Young Author Best Paper Award in 2021, the Outstanding Ph.D. Thesis Award of China Institute of Communications in 2017, the Outstanding Ph.D. Thesis Funding in SJTU in 2016, the IEEE ICCC Best Paper Award in 2021, and IEEE WCSP Best Paper Award in 2015. He was the Exemplary Editor of IEEE Communications Letters in 2019 and the Exemplary Reviewer of several IEEE journals. He serves as an Associate Editor for IEEE Transactions on Communications, IEEE Communications Letters, IEEE Wireless Communications Letters, IEEE Open Journal of Communications Society (OJ-COMS), and IEEE Open Journal of Vehicular Technology (OJVT). He is the Lead Guest Editor for IEEE Journal on Selected Areas in Communications on “UAV Communications in 5G and Beyond Networks”, and the Guest Editor for IEEE OJVT on “6G Intelligent Communications” and IEEE OJ-COMS on “Reconfigurable Intelligent Surface-Based Communications for 6G Wireless Networks”. He is the workshop co-chair for IEEE ICC 2019–2022 workshop on “Integrating UAVs into 5G and Beyond”, and the workshop co-chair for IEEE GLOBECOM 2020 and ICC 2021 workshop on “Reconfigurable Intelligent Surfaces for Wireless Communication for Beyond 5G”. He serves as the Workshops and Symposia Officer of Reconfigurable Intelligent Surfaces Emerging Technology Initiative and Research Blog Officer of Aerial Communications Emerging Technology Initiative. He is the IEEE Communications Society Young Professional Chair in Asia Pacific Region. (Email: wu.qq1010@gmail.com)

Di WU was born in 1991. He received the M.S. degree in information and communication engineering from Hainan University, Haikou, China, in 2018. He has been an Lecturer of the School of Information and Communication Engineering, Hainan University, China. He is currently pursuing the Ph.D. degree in control science and engineering with the Department of Automation, Shanghai Jiao Tong University, Shanghai, China. His major research interests include nonlinear control of aerial vehicles, motion planning, and localization and mapping. (Email: hainuwudi@163.com)

Feng SHU received the Ph.D., M.S., and B.S. degrees from the Southeast University, Nanjing, in 2002, XiDian University, Xi’an, China, in 1997, and Fuyang Teaching College, Fuyang, China, in 1994, respectively. From Sept. 2009 to Sept. 2010, he is a Visiting Postdoctoral Researcher at the University of Texas at Dallas. From Oct. 2005 to Nov. 2020, he was with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China. Since Dec. 2020, he has been with the School of Information and Communication Engineering, Hainan University, Haikou, where he is currently a Professor and Supervisor of Ph.D. and graduate students. He is awarded with Leading-talent Plan of Hainan Province, Mingjian Scholar Chair Professor and Fujian hundred-talent plan in Fujian Province. His research interests include wireless networks, wireless location, and array signal processing. Now, he is an Editor for the journals IEEE Wireless Communications Letters and IEEE Systems Journal. He has published more than 300 in archival journals with more than 120 papers on IEEE Journals and 170 SCI-indexed papers. He holds seventeen Chinese patents. (Email: shufeng0101@163.com)

Jiangzhou WANG has been a Professor since 2005 at the University of Kent, U.K. He has published over 400 papers and 4 books in the areas of wireless communications. Professor Wang is a Fellow of the Royal Academy of Engineering, U.K., Fellow of the IEEE, and Fellow of the IET. He was a recipient of the Best Paper Award from the IEEE GLOBECOM2012. He was an IEEE Distinguished Lecturer from 2013 to 2014. He was the Technical Program Chair of the 2019 IEEE International Conference on Communications (ICC2019), Shanghai, the Executive Chair of the IEEE ICC2015, London, and the Technical Program Chair of the IEEE WCNC2013. He has served as an Editor for a number of international journals, including IEEE Transactions on Communications from 1998 to 2013. (Email: j.z.wang@kent.ac.uk)
Corresponding author: Email: shufeng0101@163.com
Received Date: 2022-08-31
Accepted Date: 2022-12-13

Available Online: 2023-04-23

Publish Date: 2024-03-05

Abstract

Abstract

To further improve the performance of passive intelligent reflecting surface (IRS)-assisted communication systems and mitigate the serious path loss due to “double-fading” of IRS-assisted links, an active IRS-aided simultaneous wireless information and power transfer (SWIPT) system is investigated. This paper jointly optimizes the transmit beamforming at the base station (BS) and the phase shifts at the active IRS in order to maximize the power collected by the energy harvesting receiver under both perfect and imperfect channel state information (CSI) states, subject to the signal-to-interference-noise ratio constraint of the information decoding receiver, and the power constraints of the BS/IRS. Under perfect CSI, the alternating optimization algorithm is utilized for obtaining the transmit beamforming at the BS and the phase shifts at the active IRS. For each subproblem, we first transform non-convex objective function and constraints into convex ones by performing a first-order Taylor expansion. Then, each subproblem is solved by using the interior point method. Given that obtaining perfect CSI is impractical, two robust beamforming designs are proposed for imperfect CSI case. Under the bounded CSI error model, we first transform the non-convex optimization problem into two semidefinite programming subproblems, and then solve each subproblem based on S-procedure and sequential rank-one constraint relaxation (SROCR) techniques. Under the stochastic CSI error model, the alternating optimization method is applied in an iterative manner based on Bernstein-type inequality and SROCR technique. Simulation results show that both robust and non-robust schemes for active IRS-assisted SWIPT systems can achieve extremely superior performance over conventional passive IRS-assisted systems under the same overall power budget.

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