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- Publisher Website: 10.1109/LWC.2023.3238842
- Scopus: eid_2-s2.0-85148442054
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Article: MIMO-ISAC: Performance Analysis and Rate Region Characterization
Title | MIMO-ISAC: Performance Analysis and Rate Region Characterization |
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Authors | |
Keywords | Integrated sensing and communications (ISAC) performance analysis sensing-communication rate region |
Issue Date | 2023 |
Citation | IEEE Wireless Communications Letters, 2023, v. 12, n. 4, p. 669-673 How to Cite? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/349870 |
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 2.872 |
DC Field | Value | Language |
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dc.contributor.author | Ouyang, Chongjun | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Yang, Hongwen | - |
dc.date.accessioned | 2024-10-17T07:01:31Z | - |
dc.date.available | 2024-10-17T07:01:31Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | IEEE Wireless Communications Letters, 2023, v. 12, n. 4, p. 669-673 | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349870 | - |
dc.description.abstract | This 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.language | eng | - |
dc.relation.ispartof | IEEE Wireless Communications Letters | - |
dc.subject | Integrated sensing and communications (ISAC) | - |
dc.subject | performance analysis | - |
dc.subject | sensing-communication rate region | - |
dc.title | MIMO-ISAC: Performance Analysis and Rate Region Characterization | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/LWC.2023.3238842 | - |
dc.identifier.scopus | eid_2-s2.0-85148442054 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 669 | - |
dc.identifier.epage | 673 | - |
dc.identifier.eissn | 2162-2345 | - |