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arXiv 2601.21997eess.SP
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可移动天线在用户位置不确定性下的到达角估计最优布置

Optimal Placement of Movable Antennas for Angle-of-Departure Estimation Under User Location Uncertainty

Universitat Autònoma de Barcelona(巴塞罗那自治大学);Università del Salento(萨伦托大学);Politecnico di Bari(巴里理工大学);Chalmers University of Technology(查尔姆斯理工大学)

Lucía Pallarés-Rodríguez, Angelo Coluccia, Alessio Fascista, Musa Furkan Keskin, Henk Wymeersch, José A. López-Salcedo, Gonzalo Seco-Granados

AI总结:

本文提出在用户位置不确定性下,通过动态优化可移动天线布置以提升到达角估计性能的方法。

摘要:

可移动天线(MA)近年来因其在成本和功耗方面优于极大规模天线阵列的优势而受到广泛关注。本文研究了在用户设备(UE)位置不确定的情况下,基站(BS)使用MA阵列进行到达角(AoD)估计的应用。具体而言,我们(i)通过Cramér-Rao界(CRB)推导出理论性能极限,并(ii)优化天线位置以确保在UE的不确定性区域内具有鲁棒性。数值结果表明,通过明确考虑不确定性区域动态优化天线布置,相较于固定阵列,能够获得更优的性能,证明了MA系统适应并优于传统阵列的能力。

英文摘要:

Movable antennas (MA) have gained significant attention in recent years to overcome the limitations of extremely large antenna arrays in terms of cost and power consumption. In this paper, we investigate the use of MA arrays at the base station (BS) for angle-of-departure (AoD) estimation under uncertainty in the user equipment (UE) location. Specifically, we (i) derive the theoretical performance limits through the Cramér-Rao bound (CRB) and (ii) optimize the antenna positions to ensure robust performance within the UE's uncertainty region. Numerical results show that dynamically optimizing antenna placement by explicitly considering the uncertainty region yields superior performance compared to fixed arrays, demonstrating the ability of MA systems to adapt and outperform conventional arrays.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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