Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks
Wang, Zhibin1,2,3; Shi, Yuanming1; Zhou, Yong1; Zhou, Haibo4; Zhang, Ning5

Fast wireless data aggregation and efficient battery recharging are two critical design challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and energy beamforming (EB) turn out to be two promising techniques that can address these two challenges, necessitating the design of wireless-powered AirComp. However, due to severe channel propagation, the energy harvested by IoT devices may not be sufficient to support AirComp. In this article, we propose to leverage the intelligent reflecting surface (IRS) that is capable of dynamically reconfiguring the propagation environment to drastically enhance the efficiency of both downlink EB and uplink AirComp in IoT networks. Due to the coupled problems of downlink EB and uplink AirComp, we further propose the joint design of energy and aggregation beamformers at the access point, downlink/uplink phase-shift matrices at the IRS, and transmit power at the IoT devices, to minimize the mean-squared error (MSE), which quantifies the AirComp distortion. However, the formulated problem is a highly intractable nonconvex quadratic programming problem. To solve this problem, we first obtain the closed-form expressions of the energy beamformer and the device transmit power, and then develop an alternating optimization framework based on difference-of-convex programming to design the aggregation beamformers and IRS phase-shift matrices. Simulation results demonstrate the performance gains of the proposed algorithm over the baseline methods and show that deploying an IRS can significantly reduce the MSE of AirComp.

KeywordUplink Downlink Wireless communication Array signal processing Wireless sensor networks Sensors Internet of Things Energy beamforming (EB) intelligent reflecting surface (IRS) Internet of Things (IoT) over-the-air computation (AirComp) wireless data aggregation (WDA)
Indexed BySCI
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000612146000026
Original Document TypeArticle
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China;
2.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210023, Peoples R China;
5.Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
First Author AffilicationSchool of Information Science and Technology
First Signature AffilicationSchool of Information Science and Technology
Recommended Citation
GB/T 7714
Wang, Zhibin,Shi, Yuanming,Zhou, Yong,et al. Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks[J]. IEEE INTERNET OF THINGS JOURNAL,2021,8(3):1585-1598.
APA Wang, Zhibin,Shi, Yuanming,Zhou, Yong,Zhou, Haibo,&Zhang, Ning.(2021).Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks.IEEE INTERNET OF THINGS JOURNAL,8(3),1585-1598.
MLA Wang, Zhibin,et al."Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks".IEEE INTERNET OF THINGS JOURNAL 8.3(2021):1585-1598.
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