NOMA Inspired Interference Cancellation for Integrated Sensing and Communication

Zhaolin Wang; Yuanwei Liu; Xidong Mu; Zhiguo Ding

doi:10.1109/ICC45855.2022.9839026

NOMA Inspired Interference Cancellation for Integrated Sensing and Communication

Zhaolin Wang, Yuanwei Liu, Xidong Mu, Zhiguo Ding

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

38 Scopus citations

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.

Original language	British English
Title of host publication	ICC 2022 - IEEE International Conference on Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3154-3159
Number of pages	6
ISBN (Electronic)	9781538683477
DOIs	https://doi.org/10.1109/ICC45855.2022.9839026
State	Published - 2022
Event	2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of Duration: 16 May 2022 → 20 May 2022

Publication series

Name	IEEE International Conference on Communications
Volume	2022-May
ISSN (Print)	1550-3607

Conference

Conference	2022 IEEE International Conference on Communications, ICC 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	16/05/22 → 20/05/22

Keywords

Beamforming design
integrated sensing and communication (ISAC)
interference cancellation
non-orthogonal multiple access (NOMA)

Access to Document

10.1109/ICC45855.2022.9839026

Cite this

Wang, Z., Liu, Y., Mu, X., & Ding, Z. (2022). NOMA Inspired Interference Cancellation for Integrated Sensing and Communication. In ICC 2022 - IEEE International Conference on Communications (pp. 3154-3159). (IEEE International Conference on Communications; Vol. 2022-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45855.2022.9839026

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title = "NOMA Inspired Interference Cancellation for Integrated Sensing and Communication",

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.",

keywords = "Beamforming design, integrated sensing and communication (ISAC), interference cancellation, non-orthogonal multiple access (NOMA)",

author = "Zhaolin Wang and Yuanwei Liu and Xidong Mu and Zhiguo Ding",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Communications, ICC 2022 ; Conference date: 16-05-2022 Through 20-05-2022",

year = "2022",

doi = "10.1109/ICC45855.2022.9839026",

language = "British English",

series = "IEEE International Conference on Communications",

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Wang, Z, Liu, Y, Mu, X & Ding, Z 2022, NOMA Inspired Interference Cancellation for Integrated Sensing and Communication. in ICC 2022 - IEEE International Conference on Communications. IEEE International Conference on Communications, vol. 2022-May, Institute of Electrical and Electronics Engineers Inc., pp. 3154-3159, 2022 IEEE International Conference on Communications, ICC 2022, Seoul, Korea, Republic of, 16/05/22. https://doi.org/10.1109/ICC45855.2022.9839026

NOMA Inspired Interference Cancellation for Integrated Sensing and Communication. / Wang, Zhaolin; Liu, Yuanwei; Mu, Xidong et al.
ICC 2022 - IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers Inc., 2022. p. 3154-3159 (IEEE International Conference on Communications; Vol. 2022-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - NOMA Inspired Interference Cancellation for Integrated Sensing and Communication

AU - Wang, Zhaolin

AU - Liu, Yuanwei

AU - Mu, Xidong

AU - Ding, Zhiguo

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Beamforming design

KW - integrated sensing and communication (ISAC)

KW - interference cancellation

KW - non-orthogonal multiple access (NOMA)

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BT - ICC 2022 - IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Communications, ICC 2022

Y2 - 16 May 2022 through 20 May 2022

ER -

NOMA Inspired Interference Cancellation for Integrated Sensing and Communication

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