Joint Resource Allocation and Beamforming Design for BD-RIS-Assisted Wireless-Powered Cooperative Mobile Edge Computing

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Xintong Qin;Wenjuan Yu;Qiang Ni;Zhengyu Song;Tianwei Hou;Xin Sun
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引用次数: 0

Abstract

The wireless-powered mobile edge computing (MEC) has emerged as a promising technique to provide energy supplies and computing services for users in Internet of Things (IoT). However, the limited computational resources and poor channel conditions in traditional wireless-powered MEC systems hinder their ability to meet growing user demands. In this letter, we propose a novel beyond-diagonal reconfigurable intelligent surface (BD-RIS) assisted wireless-powered cooperative MEC model to address these challenges. To maximize the total number of completed task bits, we develop a joint resource allocation and beamforming algorithm based on the penalty and Riemannian trust-region methods to jointly optimize the energy transfer time, transmit power, CPU frequencies of users, bandwidth allocation, and the beamforming of BD-RIS. Simulation results demonstrate that the proposed cooperative computing model significantly improves the total number of completed task bits and highlights the superiority of fully-connected BD-RIS over RIS and simultaneous transmission and reflection RIS (STAR-RIS) in wireless-powered MEC systems.
基于bd - ris的无线协同移动边缘计算联合资源分配与波束成形设计
无线供电的移动边缘计算(MEC)已成为为物联网(IoT)用户提供能源供应和计算服务的一种有前途的技术。然而,传统的无线供电MEC系统有限的计算资源和恶劣的信道条件阻碍了它们满足日益增长的用户需求的能力。在这封信中,我们提出了一种新颖的超对角线可重构智能表面(BD-RIS)辅助的无线供电协同MEC模型来解决这些挑战。为了最大限度地提高完成任务的总比特数,我们开发了一种基于惩罚和黎曼信任域方法的联合资源分配和波束形成算法,共同优化BD-RIS的能量传输时间、发射功率、用户CPU频率、带宽分配和波束形成。仿真结果表明,所提出的协同计算模型显著提高了完成任务比特的总数,突出了全连接BD-RIS相对于同步传输和反射RIS (STAR-RIS)在无线供电MEC系统中的优越性。
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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