Resource Optimization for Delay Estimation in Perceptive Mobile Networks

Hu, Y; Deng, W; Andrew Zhang, J; Jay Guo, Y

Resource Optimization for Delay Estimation in Perceptive Mobile Networks

Hu, Y Deng, W Andrew Zhang, J Jay Guo, Y

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Wireless Communications Letters, 2024, 13, (1), pp. 223-227
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Hu, Y
dc.contributor.author	Deng, W
dc.contributor.author	Andrew Zhang, J
dc.contributor.author	Jay Guo, Y
dc.date.accessioned	2024-05-13T04:22:14Z
dc.date.available	2024-05-13T04:22:14Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Wireless Communications Letters, 2024, 13, (1), pp. 223-227
dc.identifier.issn	2162-2337
dc.identifier.issn	2162-2345
dc.identifier.uri	http://hdl.handle.net/10453/178901
dc.description.abstract	Perceptive mobile networks aim to provide integrated sensing without compromising communication performance. To achieve high ranging accuracy, optimizing the transmitted signal is a critical task. In this letter, we optimize 5G NR signal for uplink sensing to improve ranging accuracy. Aiming at minimizing the Cramér-Rao bound (CRB) for delay estimation, we derive the optimal resource allocation for demodulation reference signals (DMRS) in 5G NR. We also analyze the minimized delay CRB for the proposed configuration. Simulation results validate the proposed method.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Wireless Communications Letters
dc.relation.isbasedon	10.1109/LWC.2023.3325961
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Resource Optimization for Delay Estimation in Perceptive Mobile Networks
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-13T04:22:12Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	1

Abstract:

Perceptive mobile networks aim to provide integrated sensing without compromising communication performance. To achieve high ranging accuracy, optimizing the transmitted signal is a critical task. In this letter, we optimize 5G NR signal for uplink sensing to improve ranging accuracy. Aiming at minimizing the Cramér-Rao bound (CRB) for delay estimation, we derive the optimal resource allocation for demodulation reference signals (DMRS) in 5G NR. We also analyze the minimized delay CRB for the proposed configuration. Simulation results validate the proposed method.

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http://hdl.handle.net/10453/178901