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arXiv 2402.02473cs.ITeess.SPmath.IT
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近场与远场中的自适应下行定位

Adaptive Downlink Localization in Near-Field and Far-Field

Georgios Mylonopoulos, Behrooz Makki, Gábor Fodor, Stefano Buzzi

AI总结:

本文针对近场与远场混合环境中的用户设备下行定位问题,提出一种由远场低开销方案和近场高复杂度方案组成的双重信令方案,并设计触发条件及自适应迭代定位算法,揭示传统夫琅禾费距离不足以支持算法自适应切换。

摘要:

本文考虑对位于服务基站(BS)阵列近场(NF)或远场(FF)的用户设备(UE)进行下行定位的问题。我们提出了一种可在基站实现的双重信令方案,用于定位此类用户设备。第一种方案假设远场条件,另一种方案假设近场条件。两种方案均包含由基站采用的波束扫描技术和由用户设备采用的定位算法。基于远场的方案能够以较低的信令开销实现波束转向,并用于所提出的定位算法,而基于近场的方案则以更高的复杂度运行。具体而言,我们提出的定位方案利用了远场较为宽松的结构,从而获得较低的计算复杂度,但不适合在近场中运行。由于基于远场方案的兼容性和性能取决于基站到用户设备的距离,我们研究了基于远场流程的局限性,探讨了两种方案在性能和资源需求方面的权衡,并提出了用于运行双重方案中各组成部分方案的触发条件。此外,我们研究了一种迭代定位算法的性能,该算法考虑了精度与复杂度的权衡,并适应用户设备的实际位置。我们发现,传统的夫琅禾费距离不足以在近场和远场混合环境中自适应地调整定位算法。

英文摘要:

This paper considers the problem of downlink localization of user equipment devices (UEs) that are either in the near-field (NF) or in the far-field (FF) of the array of the serving base station (BS). We propose a dual signaling scheme, which can be implemented at the BS, for localizing such UEs. The first scheme assumes FF, while the other assumes NF conditions. Both schemes comprise a beam-sweeping technique, employed by the BS, and a localization algorithm, employed by the UEs. The FF-based scheme enables beam-steering with a low signaling overhead, which is utilized for the proposed localization algorithm, while the NF-based scheme operates with a higher complexity. Specifically, our proposed localization scheme takes advantage of the relaxed structure of the FF, which yields low computational complexity, but is not suitable for operating in the NF. Since the compatibility and the performance of the FF- based scheme depends on the BS-to-UE distance, we study the limitations of FF-based procedure, explore the trade-off in terms of performance and resource requirements for the two schemes, and propose a triggering condition for operating the component schemes of the dual scheme. Also, we study the performance of an iterative localization algorithm that takes into account the accuracy-complexity trade-off and adapts to the actual position of the UE. We find that the conventional Fraunhofer distance is not sufficient for adapting localization algorithms in the mixed NF and FF environment.

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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