Near-Field Beamforming Design for Multi-IRS Wireless Beam Routing

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS
Tao Wang;Changsheng You;Changchuan Yin
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引用次数: 0

Abstract

This letter investigates efficient near-field beamforming designs for wireless communication systems aided by multiple extremely large-scale intelligent reflecting surfaces (Multi-XL-IRSs). Previous studies have mostly assumed far-field channel conditions, based on which angle-based beamforming is adopted for the base station (BS) and IRSs. However, this approach may lead to degraded performance in practical near-field scenarios. To address this issue, we consider near-field channel modeling and formulate an optimization problem aimed at maximizing the received power at the user equipment (UE) by jointly optimizing the beamforming at the BS and IRSs. Given the intractability under the beam training (BT)-based communication framework, the problem is revisited and reformulated. Subsequently, an efficient algorithm based on alternating optimization (AO) is proposed to solve the reformulated problem. Numerical results demonstrate that, in typical setups, our AO-based beamforming designs provide over 170% and 20% received power gains over conventional angle-based beamforming and beam focusing, respectively. Furthermore, the power scaling law derived under far-field conditions no longer holds in near-field scenarios.
多irs无线波束路由的近场波束形成设计
本文研究了无线通信系统的高效近场波束形成设计,该设计由多个超大规模智能反射面(Multi-XL-IRSs)辅助。以往的研究多假设远场信道条件,在此基础上基站和红外卫星站采用基于角度的波束形成。然而,这种方法在实际的近场场景中可能会导致性能下降。为了解决这一问题,我们考虑近场信道建模,并制定了一个优化问题,旨在通过联合优化BS和IRSs的波束形成来最大化用户设备(UE)的接收功率。考虑到基于波束训练(BT)的通信框架下的棘手问题,本文对该问题进行了重新研究和阐述。随后,提出了一种基于交替优化(AO)的高效算法来解决重表述问题。数值结果表明,在典型设置中,我们的基于aoo的波束形成设计比传统的基于角度的波束形成和波束聚焦分别提供超过170%和20%的接收功率增益。此外,在远场条件下导出的幂标度定律不再适用于近场情况。
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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