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- Publisher Website: 10.1109/ICC45855.2022.9839026
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Conference Paper: NOMA Inspired Interference Cancellation for Integrated Sensing and Communication
Title | NOMA Inspired Interference Cancellation for Integrated Sensing and Communication |
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Authors | |
Keywords | Beamforming design integrated sensing and communication (ISAC) interference cancellation non-orthogonal multiple access (NOMA) |
Issue Date | 2022 |
Citation | IEEE International Conference on Communications, 2022, v. 2022-May, p. 3154-3159 How to Cite? |
Abstract | A non-orthogonal multiple access (NOMA) inspired integrated sensing and communication (ISAC) system is investigated. A dual-functional base station (BS) serves multiple communication users while sensing multiple targets, by trans-mitting the non-orthogonal superposition of the communication and sensing signals. A NOMA inspired interference cancellation scheme is proposed, where part of the dedicated sensing signal is treated as the virtual communication signals to be mitigated at each communication user via successive interference cancellation (SIC). Based on this framework, the transmitted communication and sensing signals are jointly optimized to match the desired sensing beampattern, while satisfying the minimum rate requirement and the SIC condition at the communication users. Then, the formulated non-convex optimization problem is solved by invoking the successive convex approximation (SCA) to obtain a near-optimal solution. The numerical results show the proposed NOMA-inspired ISAC system can achieve better performance than the conventional ISAC system and comparable performance to the ideal ISAC system where all sensing interference is assumed to be removed unconditionally. |
Persistent Identifier | http://hdl.handle.net/10722/349787 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Wang, Zhaolin | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Mu, Xidong | - |
dc.contributor.author | Ding, Zhiguo | - |
dc.date.accessioned | 2024-10-17T07:00:48Z | - |
dc.date.available | 2024-10-17T07:00:48Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | IEEE International Conference on Communications, 2022, v. 2022-May, p. 3154-3159 | - |
dc.identifier.issn | 1550-3607 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349787 | - |
dc.description.abstract | A non-orthogonal multiple access (NOMA) inspired integrated sensing and communication (ISAC) system is investigated. A dual-functional base station (BS) serves multiple communication users while sensing multiple targets, by trans-mitting the non-orthogonal superposition of the communication and sensing signals. A NOMA inspired interference cancellation scheme is proposed, where part of the dedicated sensing signal is treated as the virtual communication signals to be mitigated at each communication user via successive interference cancellation (SIC). Based on this framework, the transmitted communication and sensing signals are jointly optimized to match the desired sensing beampattern, while satisfying the minimum rate requirement and the SIC condition at the communication users. Then, the formulated non-convex optimization problem is solved by invoking the successive convex approximation (SCA) to obtain a near-optimal solution. The numerical results show the proposed NOMA-inspired ISAC system can achieve better performance than the conventional ISAC system and comparable performance to the ideal ISAC system where all sensing interference is assumed to be removed unconditionally. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE International Conference on Communications | - |
dc.subject | Beamforming design | - |
dc.subject | integrated sensing and communication (ISAC) | - |
dc.subject | interference cancellation | - |
dc.subject | non-orthogonal multiple access (NOMA) | - |
dc.title | NOMA Inspired Interference Cancellation for Integrated Sensing and Communication | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICC45855.2022.9839026 | - |
dc.identifier.scopus | eid_2-s2.0-85137270746 | - |
dc.identifier.volume | 2022-May | - |
dc.identifier.spage | 3154 | - |
dc.identifier.epage | 3159 | - |