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| 面向能量回收的主动IRS辅助无线供电通信波束成形算法 |
| 向翠玲,周杰,邓玲玲,钟育秀,谢豪,徐勇军 |
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| (1.重庆对外经贸学院 大数据与智能工程学院,重庆 401520;2.澳门科技大学 计算机科学与工程学院,澳门 999078;3.重庆邮电大学 通信与信息工程学院,重庆 400065) |
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| 摘要: |
| 无线供电通信网络（Wireless-powered Communication Network,WPCN）不仅可以实现远程无线充电而且能够提供无线通信服务，因此受到了学术界和工业界的广泛关注。然而，低效率的能量收集和信息传输会限制WPCN的性能，并且在WPCN中的双重远近效应会导致物联网设备收集的能量与消耗的能量之间的不平衡。为了解决这些问题，提出基于能量回收的主动智能反射面（Intelligent Reflecting Surface,IRS）辅助WPCN波束成形算法，其中物联网设备既能从功率站端收集能量，还能从其他物联网设备的上行信息传输中回收能量。考虑能量收集、吞吐量、时间分配，以及功率站和主动IRS的最大功率等约束，基于能量回收机制，建立了系统总吞吐量最大化的资源分配模型；然后，提出一种基于内层近似和双线性变换的交替优化算法进行求解。仿真结果表明，在相应的参数配置下，能量回收机制的应用能够提升约8.13%的吞吐量，而主动IRS的应用能够提升约61.1%的吞吐量。 |
| 关键词: 无线供电通信网络（WPCN） 主动智能反射面（IRS） 能量回收 波束成形 |
| DOI：10.20079/j.issn.1001-893x.240505001 |
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| 基金项目:2023—2024年重庆对外经贸学院科研项目（KYZK202307） |
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| A Beamforming Algorithm for Active IRS-aided Wireless-powered Communications with Energy Recycling |
| XIANG Cuiling,ZHOU Jie,DENG Lingling,ZHONG Yuxiu,XIE Hao,XU Yongjun |
| (1.Big Data & Intelligence Engineering School，Chongqing College of International Business and Economics，Chongqing 401520，China;2.School of Computer Science and Engineering，Macau University of Science and Technology，Macau 999078，China;3.School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065，China) |
| Abstract: |
| The wireless-powered communication network（WPCN） not only enables remote wireless charging but also provides wireless communication services,thus attracting widespread attention from both academia and industry.However,inefficient energy harvesting and information transmission may limit the performance of WPCNs,and the “doubly near-far” effect in WPCNs may lead to an imbalance between the energy harvested and consumed by Internet of Things（IoT）devices.To address these issues,the authors propose a beamforming algorithm for active intelligent reflecting surface（IRS）-aided WPCNs with energy recycling,where IoT devices can both harvest energy from the power station and recycle energy from the uplink information transmission of other IoT devices.First,a resource allocation model for maximizing the total throughput is formulated based on the energy recycling mechanism,where the constraints of energy harvesting,throughput,time allocation,and maximum power of the power station and the active IRS are considered.Then,an alternating optimization algorithm based on inner approximation and bilinear transformation is proposed for solving.Simulation results demonstrate that the application of the energy recycling mechanism can improve the throughput by about 8.13%while the application of the active IRS can improve the throughput by about 61.1%with the corresponding parameter configurations. |
| Key words: wireless-powered communication network（WPCN） active intelligent reflecting surface（IRS） energy recycling beamforming |
