Localization with cellular signal RSRP fingerprint of multiband and multicell

Hu, Z, Chen, X, Zhou, Z and Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149, 2024. Localization with cellular signal RSRP fingerprint of multiband and multicell. IEEE Journal on Selected Areas in Communications. ISSN 0733-8716

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Abstract

Precisely predicting the location of the user in a Global-Navigation-Satellite-System-degraded environment is a highly challenging task. Localization based on cellular signal fingerprints is one of the promising solutions to this problem and has attracted increasing attention. Long Term Evolution (LTE) signal is popularly utilized for localization due to its global usage, extensive urban coverage, and favorable signal properties. This paper proposes a new multiband multicell Reference Signal Received Power (MBMC-R) fingerprint, which properly fuses LTE signals’ carrier band information, the physical cell identifier information, and RSRP values. Next, a sequential block-matching weight K nearest neighbor algorithm with a cosine similarity criterion is specially designed for performing the pattern-matching localization with the MBMC-R fingerprint. The proposed method also includes the derivation of the Cramer-Rao lower bound, which reveals the impact of various factors on the lower bound of position error. Simulation and on-field experiments prove the performance superiority over other fingerprint localization algorithms reported in the literature.

Item Type:	Journal article
Publication Title:	IEEE Journal on Selected Areas in Communications
Creators:	Hu, Z., Chen, X., Zhou, Z. and Mumtaz, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	13 June 2024
ISSN:	0733-8716
Identifiers:	Number Type 10.1109/jsac.2024.3414000 DOI 1904584 Other
Rights:	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	17 Jun 2024 10:05
Last Modified:	17 Jun 2024 10:05
URI:	https://irep.ntu.ac.uk/id/eprint/51569

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