Over-the-Air Computation via 2D Movable Antenna Array

Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu, Weidong Mei
{"title":"Over-the-Air Computation via 2D Movable Antenna Array","authors":"Nianzu Li, Peiran Wu, Boyu Ning, Lipeng Zhu, Weidong Mei","doi":"arxiv-2409.10351","DOIUrl":null,"url":null,"abstract":"Movable antenna (MA) has emerged as a promising technology for improving the\nperformance of wireless communication systems, which enables local movement of\nthe antennas to create more favorable channel conditions. In this letter, we\nadvance its application for over-the-air computation (AirComp) network, where\nan access point is equipped with a two-dimensional (2D) MA array to aggregate\nwireless data from massive users. We aim to minimize the computation mean\nsquare error (CMSE) by jointly optimizing the antenna position vector (APV),\nthe receive combining vector at the access point and the transmit coefficients\nfrom all users. To tackle this highly non-convex problem, we propose a two-loop\niterative algorithm, where the particle swarm optimization (PSO) approach is\nleveraged to obtain a suboptimal APV in the outer loop while the receive\ncombining vector and transmit coefficients are alternately optimized in the\ninner loop. Numerical results demonstrate that the proposed MA-enhanced AirComp\nnetwork outperforms the conventional network with fixed-position antennas\n(FPAs).","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Movable antenna (MA) has emerged as a promising technology for improving the performance of wireless communication systems, which enables local movement of the antennas to create more favorable channel conditions. In this letter, we advance its application for over-the-air computation (AirComp) network, where an access point is equipped with a two-dimensional (2D) MA array to aggregate wireless data from massive users. We aim to minimize the computation mean square error (CMSE) by jointly optimizing the antenna position vector (APV), the receive combining vector at the access point and the transmit coefficients from all users. To tackle this highly non-convex problem, we propose a two-loop iterative algorithm, where the particle swarm optimization (PSO) approach is leveraged to obtain a suboptimal APV in the outer loop while the receive combining vector and transmit coefficients are alternately optimized in the inner loop. Numerical results demonstrate that the proposed MA-enhanced AirComp network outperforms the conventional network with fixed-position antennas (FPAs).
通过二维可移动天线阵列进行空中计算
可移动天线(MA)已成为提高无线通信系统性能的一项前景广阔的技术,它可以实现天线的局部移动,从而创造更有利的信道条件。在这封信中,我们介绍了可移动天线在空中计算(AirComp)网络中的应用,在该网络中,接入点配备了一个二维(2D)可移动天线阵列,用于汇聚来自大量用户的无线数据。我们的目标是通过联合优化天线位置矢量(APV)、接入点的接收组合矢量和所有用户的发射系数,最大限度地降低计算均方误差(CMSE)。为了解决这个高度非凸的问题,我们提出了一种双回路迭代算法,其中粒子群优化(PSO)方法被用来在外环中获得次优 APV,而接收组合矢量和发射系数则在内环中交替优化。数值结果表明,所提出的 MA 增强型 AirComp 网络优于采用固定位置天线(FPA)的传统网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信