On the Spectral Efficiency of Indoor Wireless Networks with a Rotary Uniform Linear Array
<|reference_start|>On the Spectral Efficiency of Indoor Wireless Networks with a Rotary Uniform Linear Array: Contemporary wireless communication systems rely on Multi-User Multiple-Input Multiple-Output (MU-MIMO) techniques. In such systems, each Access Point (AP) is equipped with multiple antenna elements and serves multiple devices simultaneously. Notably, traditional systems utilize fixed antennas, i.e., antennas without any movement capabilities, while the idea of movable antennas has recently gained traction among the research community. By moving in a confined region, movable antennas are able to exploit the wireless channel variation in the continuous domain. This additional degree of freedom may enhance the quality of the wireless links, and consequently the communication performance. However, movable antennas for MU-MIMO proposed in the literature are complex, bulky, expensive and present a high power consumption. In this paper, we propose an alternative to such systems that has lower complexity and lower cost. More specifically, we propose the incorporation of rotation capabilities to APs equipped with Uniform Linear Arrays (ULAs) of antennas. We consider the uplink of an indoor scenario where the AP serves multiple devices simultaneously. The optimal rotation of the ULA is computed based on estimates of the positions of the active devices and aiming at maximizing the per-user mean achievable Spectral Efficiency (SE). Adopting a spatially correlated Rician channel model, our numerical results show that the rotation capabilities of the AP can bring substantial improvements in the SE in scenarios where the line-of-sight component of the channel vectors is strong. Moreover, our proposed system is robust against imperfect positioning estimates.<|reference_end|>
@article{tominaga2024on,
    title={On the Spectral Efficiency of Indoor Wireless Networks with a Rotary
  Uniform Linear Array},
    author={Eduardo Noboro Tominaga, Onel Luis Alcaraz L'opez, Tommy Svensson,
  Richard Demo Souza and Hirley Alves},
    journal={arXiv preprint arXiv:2402.05583},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.05583},
    primaryClass={cs.IT eess.SP math.IT}
}