Design of Low Power Thinned Smart Antenna for 6G Sky Connection

Q4 Engineering
Anindita Khan, J. S. Roy
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引用次数: 0

Abstract

To improve radio access capability, sky connections relying on satellites or unmanned aerial vehicles (UAV), as well as high-altitude platforms (HAP) will be exploited in 6G wireless communication systems, complementing terrestrial networks. For long-distance communication, a large smart antenna will be used that is characterized by high amounts of power consumed by digital beamformers. This paper focuses on reducing power consumption by relying on a thinned smart antenna (TSA). The performance of TSA is investigated in the sub-6 GHz band. The differential evolution (DE) algorithm is used to optimize excitation weights of the individual dipoles in the antenna array and these excitation weights are then used in TSA for beamforming, with signal processing algorithms deployed. The DE technique is used with the least mean square, recursive least square and sample matrix inversion algorithms. The proposed method offers almost the same directivity, simultaneously ensuring lower side lobes (SLL) and reduced power consumption. For a TSA of 20, 31, and 64 dipoles, the power savings are 20%, 19.4%, and 17.2%, respectively. SLL reductions achieved, in turn, vary from 5.2 dB to 8.1 dB.
设计用于 6G 天空连接的低功耗薄型智能天线
为了提高无线电接入能力,6G 无线通信系统将利用卫星或无人机(UAV)以及高空平台(HAP)进行空中连接,对地面网络进行补充。在长距离通信中,将使用大型智能天线,其特点是数字波束形成器耗电量大。本文的重点是通过减薄智能天线(TSA)来降低功耗。本文研究了 TSA 在 6 GHz 以下频段的性能。差分演化(DE)算法用于优化天线阵列中单个偶极子的激励权重,然后将这些激励权重与信号处理算法一起用于 TSA 的波束成形。DE 技术与最小均方算法、递归最小平方算法和采样矩阵反演算法一起使用。所提出的方法具有几乎相同的指向性,同时确保了较低的边叶(SLL)和较低的功耗。对于 20、31 和 64 个偶极子的 TSA,功耗分别降低了 20%、19.4% 和 17.2%。SLL 的降低幅度则从 5.2 dB 到 8.1 dB 不等。
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
Journal of Telecommunications and Information Technology
Journal of Telecommunications and Information Technology Engineering-Electrical and Electronic Engineering
CiteScore
1.20
自引率
0.00%
发文量
34
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