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Computer Science > Networking and Internet Architecture

arXiv:2506.00355 (cs)
[Submitted on 31 May 2025 (v1) , last revised 15 Jul 2025 (this version, v2)]

Title: Pinching Antenna-Aided Wireless Powered Communication Networks

Title: 夹钳天线辅助的无线供电通信网络

Authors:Yixuan Li, Hongbo Xu, Ming Zeng, Yuanwei Liu
Abstract: In this letter, we investigate a novel pinching antenna (PA)-aided wireless powered communication network (WPCN), in which multiple PAs are activated along a waveguide to establish robust line-of-sight links with multiple devices. Both time division multiple access (TDMA) and non-orthogonal multiple access (NOMA) protocols are considered in the PA-WPCN. Moreover, some practical considerations, including a proportional power model for the PAs, a waveguide transmission loss model, and a nonlinear energy harvesting model, are incorporated into the PA-WPCN. Furthermore, we formulate a sum-rate maximization problem by jointly optimizing resource allocation and PAs position. To address the challenging problem of the PAs position optimization, we propose a high-performance element-wise (EW) algorithm and a low-complexity stochastic parameter differential evolution (SPDE) algorithm. Numerical results validate the remarkable performance of the proposed PA-WPCN and the effectiveness of our algorithms, indicating that optimal performance is attained when the PA power distribution ratio of approximately 0.55-0.6.
Abstract: 在本文中,我们研究了一种新型夹紧天线(PA)辅助的无线供电通信网络(WPCN),其中多个PA沿波导激活,以与多个设备建立稳健的视距链路。 在PA-WPCN中考虑了时分多址(TDMA)和非正交多址(NOMA)协议。 此外,一些实际考虑因素,包括PA的成比例功率模型、波导传输损耗模型和非线性能量收集模型,都被纳入PA-WPCN中。 此外,我们通过联合优化资源分配和PA的位置来制定一个总速率最大化问题。 为了解决PA位置优化的挑战性问题,我们提出了一种高性能的逐元素(EW)算法和一种低复杂度的随机参数差分进化(SPDE)算法。 数值结果验证了所提出的PA-WPCN的显著性能和我们算法的有效性,表明当PA功率分配比约为0.55-0.6时可以获得最佳性能。
Subjects: Networking and Internet Architecture (cs.NI)
Cite as: arXiv:2506.00355 [cs.NI]
  (or arXiv:2506.00355v2 [cs.NI] for this version)
  https://doi.org/10.48550/arXiv.2506.00355
arXiv-issued DOI via DataCite

Submission history

From: Yixuan Li [view email]
[v1] Sat, 31 May 2025 02:37:31 UTC (1,216 KB)
[v2] Tue, 15 Jul 2025 09:03:15 UTC (1,750 KB)
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