Enhancing Fairness-Aware Massive Wireless Powered IoT Connectivity by IRS

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Yi Wang;Junlei Zhi;Shaochuan Yang;Zheng Chu;Baofeng Ji;Hui Guo;Meng Hua;Chunguo Li
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引用次数: 0

Abstract

This letter explores an intelligent reflecting surface (IRS) enhanced wireless powered Internet of Things (WP-IoT) network, wherein massive IoT nodes are wirelessly charged by radio frequency signals and then transmit information by means of an IRS to promote the system performance. To evaluate the network performance, we aim at maximizing the total throughput while adhering to constraints pertaining to fairness-aware individual signal-to-noise ratio (SNR), the time allocations (TAs) as well as the unit-modulus IRS phase shifts. However, the intricate coupling of these variables renders the optimization problem nonconvex, thus posing a challenge for direct solution. To deal with this dilemma, we first resort to employing the Lagrange dual method and Karush-Kuhn–Tucker (KKT) conditions to transform the sum of logarithmic objective function into sum of fractional counterpart, and further derive the analytical solutions of TAs for downlink wireless energy transfer (WET) and uplink wireless information transfer (WIT). Then, the Riemannian manifold optimization (RMO) is utilized to iteratively derive the IRS phase shifts in term of semi-closed-form expression. Lastly, numerical simulations are conducted to examine the efficacy of the proposed algorithm in enhancing performance in comparison to the existing benchmark schemes.
通过IRS增强公平意识的大规模无线供电物联网连接
本文探讨了一种智能反射面(IRS)增强无线供电物联网(WP-IoT)网络,其中大量物联网节点通过射频信号无线充电,然后通过IRS传输信息以提高系统性能。为了评估网络性能,我们的目标是最大限度地提高总吞吐量,同时遵守与公平性相关的个体信噪比(SNR)、时间分配(TAs)以及单位模量IRS相移有关的约束。然而,这些变量之间复杂的耦合使得优化问题非凸,从而对直接求解提出了挑战。为了解决这一难题,我们首先采用拉格朗日对偶方法和KKT条件将对数目标函数和转化为分数阶目标函数和,并进一步推导出下行无线能量传输(WET)和上行无线信息传输(WIT)的TAs的解析解。然后,利用黎曼流形优化(RMO)迭代推导出半封闭形式的IRS相移表达式。最后,进行了数值模拟,以检验所提出的算法在提高性能方面的有效性,并与现有基准方案进行了比较。
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
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.
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