Resource Allocation in a RIS-Assisted TDMA Wireless Powered Sensor Network Using UAV

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-04-17 DOI:10.1109/LCOMM.2025.3562118

Omid Abachian Ghasemi;Mehdi Chehel Amirani

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引用次数: 0

Abstract

Integrating reconfigurable intelligent surfaces (RISs) with energy harvesting technology offers a promising solution to enhance the performance of wireless networks. This letter investigates an RIS-assisted wireless powered sensor network (WPSN) where sensors distributed in an area harvest energy from an unmanned aerial vehicle (UAV) and subsequently transmit their data to the fusion center (FC) using the Time Division Multiple Access (TDMA) protocol, aided by an RIS mounted on the UAV. In the proposed model, the wireless power transfer (WPT) time is predetermined as a fraction of the total data transmission time and is excluded from the optimization variables. The objective is to maximize the sum throughput by optimally allocating time to the sensors and adjusting the phase shifts of the RIS elements. The resulting non-convex optimization problem is solved by decomposing it into two subproblems: first, determining the optimal phase shifts; and second, developing an algorithm for optimal time allocation using the Lagrange dual method and Karush-Kuhn-Tucker (KKT) conditions. Excluding the WPT time from the optimization variables enables us to develop an efficient algorithm for time allocation with significantly reduced execution time compared to scenarios where WPT time is also an optimization variable, while maintaining comparable performance. Numerical results demonstrate that the proposed method significantly improves the network’s performance.

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基于无人机的ris辅助TDMA无线传感器网络资源分配

将可重构智能表面（RISs）与能量收集技术相结合，为提高无线网络的性能提供了一种很有前途的解决方案。这封信研究了RIS辅助的无线动力传感器网络（WPSN），其中分布在一个区域的传感器从无人机（UAV）收集能量，随后使用时分多址（TDMA）协议将其数据传输到融合中心（FC），由安装在无人机上的RIS辅助。在所提出的模型中，无线功率传输（WPT）时间作为总数据传输时间的一部分被预先确定，并且从优化变量中排除。目标是通过优化分配时间给传感器和调整RIS元素的相移来最大化总吞吐量。将得到的非凸优化问题分解为两个子问题来解决：首先，确定最优相移；其次，利用拉格朗日对偶方法和kush - kuhn - tucker （KKT）条件，开发了一种最优时间分配算法。将WPT时间从优化变量中排除，使我们能够开发一种有效的时间分配算法，与WPT时间也是一个优化变量的场景相比，可以显著减少执行时间，同时保持相当的性能。数值结果表明，该方法显著提高了网络的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.