Integrated Sensing and Communication Beamforming Design Based on Mutual Information

Integrated sensing and communication (ISAC) unifies radar sensing and communication, and improves the efficiency of the spectrum, energy and hardware. In this paper, we investigate the ISAC beamforming design in a downlink system with a communication user and a point radar target to be perceived. Th...

Full description

Saved in:
Bibliographic Details
Published inIEEE/CIC International Conference on Communications in China - Workshops (Online) pp. 383 - 388
Main Authors Li, Jin, Liu, Nan
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.08.2022
Subjects
Online AccessGet full text
ISSN2474-9133
DOI10.1109/ICCCWorkshops55477.2022.9896665

Cover

Abstract Integrated sensing and communication (ISAC) unifies radar sensing and communication, and improves the efficiency of the spectrum, energy and hardware. In this paper, we investigate the ISAC beamforming design in a downlink system with a communication user and a point radar target to be perceived. The design criterion for radar sensing is the mutual information between the target response matrix and the echo signals, while the single user transmission rate is used as the performance metric of the communication. Two scenarios without and with interference from the communication user are investigated. A closed-form solution with low complexity and a solution based on the semidefinite relaxation (SDR) method are provided to solve these two problems, respectively. Numerical results demonstrate that, compared to the results obtained by SDR based on the CVX toolbox, the closed-form solution is tight in the feasible region. In addition, we show that the SDR method obtains an optimal solution.
AbstractList Integrated sensing and communication (ISAC) unifies radar sensing and communication, and improves the efficiency of the spectrum, energy and hardware. In this paper, we investigate the ISAC beamforming design in a downlink system with a communication user and a point radar target to be perceived. The design criterion for radar sensing is the mutual information between the target response matrix and the echo signals, while the single user transmission rate is used as the performance metric of the communication. Two scenarios without and with interference from the communication user are investigated. A closed-form solution with low complexity and a solution based on the semidefinite relaxation (SDR) method are provided to solve these two problems, respectively. Numerical results demonstrate that, compared to the results obtained by SDR based on the CVX toolbox, the closed-form solution is tight in the feasible region. In addition, we show that the SDR method obtains an optimal solution.
Author Li, Jin
Liu, Nan
Author_xml – sequence: 1
  givenname: Jin
  surname: Li
  fullname: Li, Jin
  email: lijin@seu.edu.cn
  organization: Southeast University,The National Mobile Communications Research Laboratory,Nanjing,China
– sequence: 2
  givenname: Nan
  surname: Liu
  fullname: Liu, Nan
  email: nanliu@seu.edu.cn
  organization: Southeast University,The National Mobile Communications Research Laboratory,Nanjing,China
BookMark eNotkM1OwzAQhA0CiVLyBFxy45Tif8dHCAUiFXEoiGPl2JtgaJwqTg68PQn0NKuZb1fauURnoQuA0A3BK0Kwvi2Lovjo-u_42R2iEFypFcWUrnSupZTiBCVa5WSauNBK5adoQbnimSaMXaAkxi-MMaOEKEYWaFuGAZreDODSLYToQ5Oa4NKia9sxeGsG34X0Hkxbd307pw8QfTNZJk4rU_YyDqPZp2WYgT_8Cp3XZh8hOeoSvT-u34rnbPP6VBZ3m8xTzIaM1LbGEoSiWjiw2hlWCYZBWON4pbGkueLOMikraanGNZe1cFxTm1fzR2yJrv_vegDYHXrfmv5nd6yB_QIUP1fl
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICCCWorkshops55477.2022.9896665
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE/IET Electronic Library
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9781665459778
1665459778
EISSN 2474-9133
EndPage 388
ExternalDocumentID 9896665
Genre orig-research
GrantInformation_xml – fundername: Southeast University
  grantid: 2022A03
  funderid: 10.13039/501100008081
– fundername: National Key Research and Development Project
  grantid: 2019YFE0123600
  funderid: 10.13039/501100012166
GroupedDBID 6IE
6IL
6IN
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i203t-1fcf06e57295dec9da3b530e5cad4b9062874dc366b6c290f46f5d492c8b24743
IEDL.DBID RIE
IngestDate Wed Aug 27 02:17:31 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-1fcf06e57295dec9da3b530e5cad4b9062874dc366b6c290f46f5d492c8b24743
PageCount 6
ParticipantIDs ieee_primary_9896665
PublicationCentury 2000
PublicationDate 2022-Aug.-11
PublicationDateYYYYMMDD 2022-08-11
PublicationDate_xml – month: 08
  year: 2022
  text: 2022-Aug.-11
  day: 11
PublicationDecade 2020
PublicationTitle IEEE/CIC International Conference on Communications in China - Workshops (Online)
PublicationTitleAbbrev ICCCWORKSHOPS
PublicationYear 2022
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003211731
Score 1.8410424
Snippet Integrated sensing and communication (ISAC) unifies radar sensing and communication, and improves the efficiency of the spectrum, energy and hardware. In this...
SourceID ieee
SourceType Publisher
StartPage 383
SubjectTerms Array signal processing
beam-forming
Closed-form solutions
Downlink
Hardware
Integrated sensing and communication
Interference
Measurement
mutual information
Radar
semidefinite relaxation
Title Integrated Sensing and Communication Beamforming Design Based on Mutual Information
URI https://ieeexplore.ieee.org/document/9896665
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LSwMxEA61B9GLj1Z8k4Pgxd1m895rV0srVIRa6K1sHqsibovdvfjrTbbbasWDt5CEEDKBbzKZ7xsArgTmklGTBQ5eSUCNFoFyOBAgopmRiMdCezby8IH3x_R-wiYNcLPmwlhrq-QzG_pm9ZdvZrr0obJOLJ1zztkW2HLXbMnVWsdTiHvJCBJtg-taRrMzSJLER5wXL7P5wqGmEO45iHFYr7JRTqVCk94eGK72sUwieQvLQoX685dE4383ug_a37w9-LhGpAPQsPkh2P0hOdgCo8FKH8LAkU9ez59hmhu4QRSBXZu-e2_Wj95WOR6w6-DOQDc2LD3lBNY8Jj-9Dca9u6ekH9SFFYJXjEgRRJnOELfMOdbMWB2blChGkGU6NVR55WIpnNkI54prHKOM8owZGmMtFabO5zgCzXyW22MAmRCKSk2YUG6CRmmU-tJ4MTYKZZLKE9DyxzOdL7UzpvXJnP7dfQZ2vIl8zDaKzkGz-CjthQP9Ql1W1v4C1iisxg
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3LTsJAFL1BTHxsfIDx7SxM3FhoO692S5WAUmICJOxI51E1xkIENn69M6WgGBfuJp1JM5m7OGfu3HMuwDX3WUCJSh0Dr9ghSnJHGBxwXCypClwWcmnVyHGXtQbkYUiHJbhdaWG01nnxma7ZYf6Wr8ZyblNl9TAw5JzRDdg0uE_oQq21yqhgc5fh2NuCm8JIs96OosjmnKcv48nU4Cbn5kLo-7XiP2sNVXI8ae5BvNzJoozkrTafiZr8_GXS-N-t7kP1W7mHnlaYdAAlnR3C7g_TwQr02kuHCIV6tnw9e0ZJptCaVAQ1dPJu-aydvcurPFDDAJ5CZi6eW9EJKpRMdnkVBs37ftRyitYKzqvv4pnjpTJ1maaGWlOlZagSLCh2NZWJIsJ6FwfcBA4zJpj0QzclLKWKhL4MhE8M6ziCcjbO9DEgyrkggcSUC7NAuomX2OZ4oa-EmwYkOIGKPZ7RZOGeMSpO5vTvz1ew3erHnVGn3X08gx0bLpvB9bxzKM8-5vrCUICZuMwj_wUPrbAT
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=IEEE%2FCIC+International+Conference+on+Communications+in+China+-+Workshops+%28Online%29&rft.atitle=Integrated+Sensing+and+Communication+Beamforming+Design+Based+on+Mutual+Information&rft.au=Li%2C+Jin&rft.au=Liu%2C+Nan&rft.date=2022-08-11&rft.pub=IEEE&rft.eissn=2474-9133&rft.spage=383&rft.epage=388&rft_id=info:doi/10.1109%2FICCCWorkshops55477.2022.9896665&rft.externalDocID=9896665