Near-field wideband beam training for ELAA with uniform circular array

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Science China Information Sciences Pub Date : 2024-05-24 DOI:10.1007/s11432-023-3970-7
Yuhao Chen, Linglong Dai
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Abstract

Extremely large-scale antenna array (ELAA) at millimeter wave (mmWave) and Terahertz (THz) band has been considered a key technology for combating high attenuation in high-frequency bands in future 6G communications. Uniform circular arrays (UCAs) have attracted much attention because of their ability to provide flat beamforming gain at all angles. To realize efficient beamforming, beam training is widely used to acquire channel state information. However, with a large antenna number, the beam training overhead in ELAA systems becomes overwhelming. Moreover, with a large bandwidth, the beam defocus effect severely degrades beam training accuracy. To address these issues, this paper proposes a frequency-dependent focusing (FDF)-based beam training scheme to realize effective beam training in near-field wideband ELAA systems with UCA. Specifically, we first analyze the FDF property of UCA, where signals at different subcarriers can simultaneously focus on different distances. Then, by exploiting the FDF property to search different distances using different subcarriers simultaneously, we design a hierarchical codebook and propose an FDF-based beam training scheme. To reveal the effectiveness of the proposed scheme, we compare its necessary beam training overhead with that of existing schemes. Finally, the simulation results demonstrate that the proposed scheme can achieve accurate beam training in near-field wideband UCA systems with a low beam training overhead.

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采用均匀圆形阵列的近场宽带波束训练 ELAA
毫米波(mmWave)和太赫兹(THz)频段的超大规模天线阵列(ELAA)被认为是应对未来 6G 通信高频段高衰减的关键技术。均匀圆形阵列(UCA)因其能够在所有角度提供平坦的波束成形增益而备受关注。为实现高效波束成形,波束训练被广泛用于获取信道状态信息。然而,当天线数量较多时,ELAA 系统的波束训练开销会变得非常大。此外,在带宽较大的情况下,波束散焦效应会严重降低波束训练的精度。为了解决这些问题,本文提出了一种基于频率相关聚焦(FDF)的波束训练方案,以在具有 UCA 的近场宽带 ELAA 系统中实现有效的波束训练。具体来说,我们首先分析了 UCA 的 FDF 特性,即不同子载波上的信号可同时聚焦在不同距离上。然后,通过利用 FDF 特性同时使用不同子载波搜索不同距离,我们设计了一个分层码本,并提出了基于 FDF 的波束训练方案。为了揭示所提方案的有效性,我们将其所需的波束训练开销与现有方案进行了比较。最后,仿真结果表明,所提方案能在近场宽带 UCA 系统中实现精确波束训练,且波束训练开销较低。
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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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