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Article: MIMO-ISAC: Performance Analysis and Rate Region Characterization

TitleMIMO-ISAC: Performance Analysis and Rate Region Characterization
Authors
Ouyang, ChongjunLiu, YuanweiYang, Hongwen
KeywordsIntegrated sensing and communications (ISAC)
performance analysis
sensing-communication rate region
Issue Date2023
Citation
IEEE Wireless Communications Letters, 2023, v. 12, n. 4, p. 669-673 How to Cite?
DOI: http://dx.doi.org/10.1109/LWC.2023.3238842
AbstractThis letter analyzes the performance of sensing and communications (S&C) achieved by a multiple-input multiple-output downlink integrated S&C (ISAC) system. Three ISAC scenarios are analyzed, including the sensing-centric design, communications-centric design, and Pareto optimal design. For each scenario, diversity orders and high signal-To-noise ratio slopes of the sensing rate (SR) and communication rate (CR) are derived to gain further insights. Numerical results reveal that i) ISAC achieves the same diversity order as existing frequency-division S&C (FDSAC) techniques; ii) ISAC achieves larger high-SNR slopes and a broader SR-CR region than FDSAC.
Persistent Identifierhttp://hdl.handle.net/10722/349870
ISSN
2162-2337
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 2.872

 

DC FieldValueLanguage
dc.contributor.authorOuyang, Chongjun-
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorYang, Hongwen-
dc.date.accessioned2024-10-17T07:01:31Z-
dc.date.available2024-10-17T07:01:31Z-
dc.date.issued2023-
dc.identifier.citationIEEE Wireless Communications Letters, 2023, v. 12, n. 4, p. 669-673-
dc.identifier.issn2162-2337-
dc.identifier.urihttp://hdl.handle.net/10722/349870-
dc.description.abstractThis letter analyzes the performance of sensing and communications (S&C) achieved by a multiple-input multiple-output downlink integrated S&C (ISAC) system. Three ISAC scenarios are analyzed, including the sensing-centric design, communications-centric design, and Pareto optimal design. For each scenario, diversity orders and high signal-To-noise ratio slopes of the sensing rate (SR) and communication rate (CR) are derived to gain further insights. Numerical results reveal that i) ISAC achieves the same diversity order as existing frequency-division S&C (FDSAC) techniques; ii) ISAC achieves larger high-SNR slopes and a broader SR-CR region than FDSAC.-
dc.languageeng-
dc.relation.ispartofIEEE Wireless Communications Letters-
dc.subjectIntegrated sensing and communications (ISAC)-
dc.subjectperformance analysis-
dc.subjectsensing-communication rate region-
dc.titleMIMO-ISAC: Performance Analysis and Rate Region Characterization-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LWC.2023.3238842-
dc.identifier.scopuseid_2-s2.0-85148442054-
dc.identifier.volume12-
dc.identifier.issue4-
dc.identifier.spage669-
dc.identifier.epage673-
dc.identifier.eissn2162-2345-

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