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机构地区:[1]Network Center,Zhengzhou University,Zhengzhou,450001,China [2]School of Electrical and Information Engineering,Zhengzhou University,Zhengzhou,450001,China
出 处:《Computer Modeling in Engineering & Sciences》2024年第1期663-677,共15页工程与科学中的计算机建模(英文)
基 金:This work was supported in part by the open research fund of National Mobile Communications Research Laboratory,Southeast University(No.2023D11);in part by Sponsored by program for Science&Technology Innovation Talents in Universities of Henan Province(23HASTIT019);in part by Natural Science Foundation of Henan Province(20232300421097);in part by the project funded by China Postdoctoral Science Foundation(2020M682345);in part by the Henan Postdoctoral Foundation(202001015).
摘 要:In this paper,we investigate IRS-aided user cooperation(UC)scheme in millimeter wave(mmWave)wirelesspowered sensor networks(WPSN),where two single-antenna users are wireless powered in the wireless energy transfer(WET)phase first and then cooperatively transmit information to a hybrid access point(AP)in the wireless information transmission(WIT)phase,following which the IRS is deployed to enhance the system performance of theWET andWIT.We maximized the weighted sum-rate problem by jointly optimizing the transmit time slots,power allocations,and the phase shifts of the IRS.Due to the non-convexity of the original problem,a semidefinite programming relaxation-based approach is proposed to convert the formulated problem to a convex optimization framework,which can obtain the optimal global solution.Simulation results demonstrate that the weighted sum throughput of the proposed UC scheme outperforms the non-UC scheme whether equipped with IRS or not.
关 键 词:Intelligent reflecting surface millimeter wave wireless powered sensor networks user cooperation resource allocation
分 类 号:TN929.5[电子电信—通信与信息系统]
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