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Wideband ISAC Optimization with Faster-Than-Nyquist Symbol-Level Precoding

Liao, Z; Liu, F; Lit, A; Masouros, C; (2024) Wideband ISAC Optimization with Faster-Than-Nyquist Symbol-Level Precoding. In: 2023 IEEE Globecom Workshops, GC Wkshps 2023. (pp. pp. 626-631). IEEE: Kuala Lumpur, Malaysia. Green open access

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Abstract

In this paper, we introduce a novel symbol-level precoding (SLP) methodology for a wideband multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system leveraging faster-than-Nyquist (FTN) signaling. The proposed approach optimizes the minimum mean squared error (MMSE) for sensed parameter estimation while maintaining per-user communication quality-of-service, capitalizing on constructive interference (CI) techniques. While the ensuing problem manifests as non-convex in nature, we adeptly manage this challenge through judicious employment of minorization strategies. Numerical outcomes corroborate that our method substantially ameliorates communication throughput whilst preserving adequate sensing performance.

Type: Proceedings paper
Title: Wideband ISAC Optimization with Faster-Than-Nyquist Symbol-Level Precoding
Event: 2023 IEEE Globecom Workshops (GC Wkshps)
Dates: 4 Dec 2023 - 8 Dec 2023
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/GCWkshps58843.2023.10465116
Publisher version: http://dx.doi.org/10.1109/gcwkshps58843.2023.10465...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Parameter estimation , Precoding , Radar , Quality of service , Interference , Throughput , Sensors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10193361
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