Mutual Information Metrics for Uplink MIMO-OFDM Integrated Sensing and Communication System

Piao, J; Wei, Z; Yuan, X; Yang, X; Wu, H; Feng, Z

Mutual Information Metrics for Uplink MIMO-OFDM Integrated Sensing and Communication System

Piao, J Wei, Z Yuan, X

Yang, X Wu, H Feng, Z

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2024, 00, pp. 7387-7392
Issue Date:: 2024-02-26

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Field	Value	Language
dc.contributor.author	Piao, J
dc.contributor.author	Wei, Z
dc.contributor.author	Yuan, X https://orcid.org/0000-0002-9167-1613
dc.contributor.author	Yang, X
dc.contributor.author	Wu, H
dc.contributor.author	Feng, Z
dc.date	2023-12-04
dc.date.accessioned	2024-08-07T05:09:51Z
dc.date.available	2024-08-07T05:09:51Z
dc.date.issued	2024-02-26
dc.identifier.citation	GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2024, 00, pp. 7387-7392
dc.identifier.isbn	979-8-3503-1091-7
dc.identifier.issn	1930-529X
dc.identifier.issn	2576-6813
dc.identifier.uri	http://hdl.handle.net/10453/180277
dc.description.abstract	As the uplink sensing has the advantage of easy implementation it attracts great attention in integrated sensing and communication ISAC system This paper presents an uplink ISAC system based on multi input multi output orthogonal frequency division multiplexing MIMO OFDM technology The mutual information MI is introduced as a unified metric to evaluate the performance of communication and sensing In this paper firstly the upper and lower bounds of communication and sensing MI are derived in details based on the interaction between communication and sensing And the ISAC waveform is optimized by maximizing the weighted sum of sensing and communication MI The Monte Carlo simulation results show that compared with other waveform optimization schemes the proposed ISAC scheme has the best overall performance
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
dc.relation.ispartof	GLOBECOM 2023 - 2023 IEEE Global Communications Conference
dc.relation.isbasedon	10.1109/globecom54140.2023.10437900
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Mutual Information Metrics for Uplink MIMO-OFDM Integrated Sensing and Communication System
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Kuala Lumpur, Malaysia
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-07T05:09:50Z
pubs.finish-date	2023-12-08
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2023-12-04
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

As the uplink sensing has the advantage of easy implementation it attracts great attention in integrated sensing and communication ISAC system This paper presents an uplink ISAC system based on multi input multi output orthogonal frequency division multiplexing MIMO OFDM technology The mutual information MI is introduced as a unified metric to evaluate the performance of communication and sensing In this paper firstly the upper and lower bounds of communication and sensing MI are derived in details based on the interaction between communication and sensing And the ISAC waveform is optimized by maximizing the weighted sum of sensing and communication MI The Monte Carlo simulation results show that compared with other waveform optimization schemes the proposed ISAC scheme has the best overall performance

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180277