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Adaptive Downlink Localization in Near-Field and Far-Field
University of Cassino and Southern Latium, Cassino, Italy; Ericsson Research, Ericsson AB, Göteborg; CNIT, Parma, Italy.
Ericsson Research, Ericsson AB, Göteborg.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). Ericsson Research. Ericsson AB, Stockholm, Sweden.ORCID iD: 0000-0002-2289-3159
University of Cassino and Southern Latium, Cassino, Italy; Politecnico di Milano, Milan, Italy.
2024 (English)In: 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024, Institute of Electrical and Electronics Engineers Inc. , 2024, p. 1017-1022Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2024. p. 1017-1022
National Category
Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-353556DOI: 10.1109/ICCWorkshops59551.2024.10615807ISI: 001296276700170Scopus ID: 2-s2.0-85202451840OAI: oai:DiVA.org:kth-353556DiVA, id: diva2:1899231
Conference
59th Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024, Denver, United States of America, Jun 9 2024 - Jun 13 2024
Note

Part of ISBN 979-835030405-3

QC 20241209

Available from: 2024-09-19 Created: 2024-09-19 Last updated: 2024-12-09Bibliographically approved

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Fodor, Gabor

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