Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation
<|reference_start|>Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation: 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 Cram\'{e}r-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 $281\%$.<|reference_end|>
@article{yang2024flexible,
    title={Flexible Antenna Arrays for Wireless Communications: Modeling and
  Performance Evaluation},
    author={Songjie Yang, Jiancheng An, Yue Xiu, Wanting Lyu, Boyu Ning, Zhongpei
  Zhang, Merouane Debbah, Chau Yuen},
    journal={arXiv preprint arXiv:2407.04944},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.04944},
    primaryClass={eess.SP cs.IT math.IT}
}