Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs

Mehrasa Ahmadipour, Michèle Wigger, Mari Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A memoryless state-dependent multiple-access channel (MAC) is considered, where two transmitters wish to convey messages to a single receiver while simultaneously sensing (estimating) the respective states via generalized feedbacks. This scenario is motivated by joint radar and communication, which aims to co-design radar sensing and communication over shared spectrum and hardware. An improved inner bound is provided on the fundamental rate-distortions tradeoff which characterizes the communication rates the transmitters can achieve while simultaneously ensuring that their state-estimates satisfy desired distortion criteria. The new inner bound is based on a scheme where each transmitter codes over the generalized feedback so as to improve the state estimation at the other transmitter. We demonstrate the advantage of the proposed scheme other than previous ones through some examples. This is in contrast to the previously proposed schemes where coding is only used to convey data but not sensing information.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Information Theory, ISIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3025-3030
Number of pages6
ISBN (Electronic)9781665421591
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland
Duration: 26 Jun 20221 Jul 2022

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2022-June
ISSN (Print)2157-8095

Conference

Conference2022 IEEE International Symposium on Information Theory, ISIT 2022
Country/TerritoryFinland
CityEspoo
Period26/06/221/07/22

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