Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation

Fuente: arXiv
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Autori principali: Yang, Songjie, An, Jiancheng, Xiu, Yue, Lyu, Wanting, Ning, Boyu, Zhang, Zhongpei, Debbah, Merouane, Yuen, Chau
Natura: Preprint
Pubblicazione: 2024
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author Yang, Songjie
An, Jiancheng
Xiu, Yue
Lyu, Wanting
Ning, Boyu
Zhang, Zhongpei
Debbah, Merouane
Yuen, Chau
author_facet Yang, Songjie
An, Jiancheng
Xiu, Yue
Lyu, Wanting
Ning, Boyu
Zhang, Zhongpei
Debbah, Merouane
Yuen, Chau
contents Flexible antenna arrays (FAAs), distinguished by their rotatable, bendable, and foldable properties, are extensively employed in flexible radio systems to achieve customized radiation patterns. This paper aims to illustrate that FAAs, capable of dynamically adjusting surface shapes, can enhance communication performances with both omni-directional and directional antenna patterns, in terms of multi-path channel power and channel angle Cramér-Rao bounds. To this end, we develop a mathematical model that elucidates the impacts of the variations in antenna positions and orientations as the array transitions from a flat to a rotated, bent, and folded state, all contingent on the flexible degree-of-freedom. Moreover, since the array shape adjustment operates across the entire beamspace, especially with directional patterns, we discuss the sum-rate in the multi-sector base station that covers the $360^\circ$ communication area. Particularly, to thoroughly explore the multi-sector sum-rate, we propose separate flexible precoding (SFP), joint flexible precoding (JFP), and semi-joint flexible precoding (SJFP), respectively. In our numerical analysis comparing the optimized FAA to the fixed uniform planar array, we find that the bendable FAA achieves a remarkable $156\%$ sum-rate improvement compared to the fixed planar array in the case of JFP with the directional pattern. Furthermore, the rotatable FAA exhibits notably superior performance in SFP and SJFP cases with omni-directional patterns, with respective $35\%$ and $281\%$.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04944
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation
Yang, Songjie
An, Jiancheng
Xiu, Yue
Lyu, Wanting
Ning, Boyu
Zhang, Zhongpei
Debbah, Merouane
Yuen, Chau
Signal Processing
Information Theory
Flexible antenna arrays (FAAs), distinguished by their rotatable, bendable, and foldable properties, are extensively employed in flexible radio systems to achieve customized radiation patterns. This paper aims to illustrate that FAAs, capable of dynamically adjusting surface shapes, can enhance communication performances with both omni-directional and directional antenna patterns, in terms of multi-path channel power and channel angle Cramér-Rao bounds. To this end, we develop a mathematical model that elucidates the impacts of the variations in antenna positions and orientations as the array transitions from a flat to a rotated, bent, and folded state, all contingent on the flexible degree-of-freedom. Moreover, since the array shape adjustment operates across the entire beamspace, especially with directional patterns, we discuss the sum-rate in the multi-sector base station that covers the $360^\circ$ communication area. Particularly, to thoroughly explore the multi-sector sum-rate, we propose separate flexible precoding (SFP), joint flexible precoding (JFP), and semi-joint flexible precoding (SJFP), respectively. In our numerical analysis comparing the optimized FAA to the fixed uniform planar array, we find that the bendable FAA achieves a remarkable $156\%$ sum-rate improvement compared to the fixed planar array in the case of JFP with the directional pattern. Furthermore, the rotatable FAA exhibits notably superior performance in SFP and SJFP cases with omni-directional patterns, with respective $35\%$ and $281\%$.
title Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2407.04944