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Throughput Maximization for Multi-UAV Enabled Millimeter Wave WPCN: Joint Time and Power Allocation

China communications 2020年第10期17卷 142-156页

作者： Jiansong Miao Pengjie Wang Qian Zhang Yue Wang School of Information and communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Laboratory of Advanced Information network Beijing University of Posts and TelecommunicationsBeijing 100876China

In this paper,we investigate the effective deployment of millimeter wave(mmWave)in unmanned aerial vehicle(UAV)-enabled wireless powered communication network(WPCN).In particular,a novel framework for optimizing the performance of such UAV-enabled WPCN in terms of system throughput is *** the considered model,multiple UAVs monitor in the air along the scheduled flight trajectory and transmit monitoring data to micro base stations(mBSs)with the harvested energy via *** this case,we propose an algorithm for jointly optimizing transmit power and energy transfer *** solve the non-convex optimization problem with tightly coupled variables,we decouple the problem into more tractable *** leveraging successive convex approximation(SCA)and block coordinate descent techniques,the optimal solution is obtained by designing a two-stage joint iteration optimization *** results show that the proposed algorithm with joint transmit power and energy transfer time optimization achieves signiﬁcant performance gains over Q-learning method and other benchmark schemes.

关键词： millimeter-wave(mmWave) unmanned aerial vehicle(UAV) wireless powered communication network energy supply joint optimization

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Maximum throughput design for IRS aided WPCN system based on NOMA

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The Journal of China Universities of Posts and Telecommunications 2022年第1期29卷 93-101页

作者： Guo Hui Zhao Xuehui School of Physics and Electronic Information Engineering Henan Polytechnic UniversityJiaozuo 454003China

This paper considers a wireless powered communication network(WPC network, WPCN) based on non-orthogonal multiple access(NOMA) technology aided by intelligent reflective surfaces(IRS). WPCN mainly focuses on downlink energy transfer(ET) and uplink information transmission(IT). At the ET phase, a dedicated multi-antenna power station(PS) is equipped to supply power to users with the assistance of IRS, and at the IT phase, the IRS adjusts the phase to assist the user in applying NOMA technology to transmit information to the base station(BS), thus minimizing the impact of dynamic IRS on the system. Based on the above settings, the maximization of sum-throughput of the system under this working mode is studied. Due to the non-convexity of maximization problem of the sum-throughput of this system, block coordinate descent(BCD) technology is applied for alternative optimization of each system block by semidefinite relaxation(SDR) and particle swarm optimization(PSO) respectively. The numerical results show that compared with baseline scheme, the proposed optimization scheme can provide greater sum-throughput of the system.

关键词： wireless powered communication network intelligent reflecting surface non-orthogonal multiple access

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维普期刊数据库

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Sum-Rate Maximization in Active RIS-Assisted Multi-Antenna WPCN

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China communications 2024年第6期21卷 23-39页

作者： Jiang Jie Lyu Bin Chen Pengcheng Yang Zhen School of communications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Provincial Key Laboratory of Photonic and Electronic Materials Sciences and Technology Nanjing UniversityNanjing 210003China

In this paper,we propose an active reconfigurable intelligent surface(RIS)enabled hybrid relaying scheme for a multi-antenna wireless powered communication network(WPCN),where the active RIS is employed to assist both wireless energy transfer(WET)from the power station(PS)to energyconstrained users and wireless information transmission(WIT)from users to the receiving station(RS).For further performance enhancement,we propose to employ both transmit beamforming at the PS and receive beamforming at the *** formulate a sumrate maximization problem by jointly optimizing the RIS phase shifts and amplitude reflection coefficients for both the WET and the WIT,transmit and receive beamforming vectors,and network resource *** solve this non-convex problem,we propose an efficient alternating optimization algorithm with the linear minimum mean squared error criterion,semidefinite relaxation(SDR)and successive convex approximation ***,the tightness of applying the SDR is *** results demonstrate that our proposed scheme with 10 reflecting elements(REs)and 4 antennas can achieve 17.78%and 415.48%performance gains compared to the single-antenna scheme with 10 REs and passive RIS scheme with 100 REs,respectively.

关键词： active reconfigurable intelligent surface beamforming sum-rate maximization wireless powered communication network

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