Hybrid NOMA empowered integrated sensing and communications

Na Xue; Xidong Mu; Yuanwei Liu; Yue Liu; Yue Chen

doi:10.1109/ICCWorkshops57953.2023.10283560

Hybrid NOMA empowered integrated sensing and communications

Na Xue
, Xidong Mu
, Yuanwei Liu
, Yue Liu
, Yue Chen

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

1 Citation (Scopus)

Abstract

A novel concept of hybrid non-orthogonal multiple access (HNOMA) empowered integrated sensing and communications (ISAC) is proposed, where the additional sensing-to-communication (S2C) interference can be mitigated via successive interference cancellation (SIC) in an adaptive manner. A transmit power minimization problem is formulated to jointly optimize the beamforming vectors and SIC options, subject to the dual functionality requirements. To address this non-convex mixed integer problem, we first investigate the ideal case where the additional S2C interference can be unconditionally eliminated. It reveals that the required number of dedicated sensing beams is no more than one. By exploring this insight, we propose a hybrid-NOMA ISAC (HNOMA-ISAC) scheme, where the binary SIC option of each CU is determined via the optimal solution of the ideal case. The remaining beamforming design problem is solved via semidefinite relaxation (SDR). Simulation results reveal that the proposed HNOMA-ISAC scheme achieves the identical sensing performance as the conventional ISAC scheme while maintaining much lower transmission energy consumption.

Original language	English
Title of host publication	2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1648-1653
Number of pages	6
ISBN (Electronic)	9798350333077
DOIs	https://doi.org/10.1109/ICCWorkshops57953.2023.10283560
Publication status	Published - 23 Oct 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023 - Rome, Italy Duration: 28 May 2023 → 01 Jun 2023

Publication series

Name	IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings
Publisher	IEEE
ISSN (Print)	2164-7038
ISSN (Electronic)	2694-2941

Conference

Conference	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
Country/Territory	Italy
City	Rome
Period	28/05/2023 → 01/06/2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Safety, Risk, Reliability and Quality
Instrumentation

Access to Document

10.1109/ICCWorkshops57953.2023.10283560Licence: Unspecified

Cite this

Xue, N., Mu, X., Liu, Y., Liu, Y., & Chen, Y. (2023). Hybrid NOMA empowered integrated sensing and communications. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings (pp. 1648-1653). ( IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCWorkshops57953.2023.10283560

Xue, Na ; Mu, Xidong ; Liu, Yuanwei et al. / Hybrid NOMA empowered integrated sensing and communications. 2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1648-1653 ( IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings).

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title = "Hybrid NOMA empowered integrated sensing and communications",

abstract = "A novel concept of hybrid non-orthogonal multiple access (HNOMA) empowered integrated sensing and communications (ISAC) is proposed, where the additional sensing-to-communication (S2C) interference can be mitigated via successive interference cancellation (SIC) in an adaptive manner. A transmit power minimization problem is formulated to jointly optimize the beamforming vectors and SIC options, subject to the dual functionality requirements. To address this non-convex mixed integer problem, we first investigate the ideal case where the additional S2C interference can be unconditionally eliminated. It reveals that the required number of dedicated sensing beams is no more than one. By exploring this insight, we propose a hybrid-NOMA ISAC (HNOMA-ISAC) scheme, where the binary SIC option of each CU is determined via the optimal solution of the ideal case. The remaining beamforming design problem is solved via semidefinite relaxation (SDR). Simulation results reveal that the proposed HNOMA-ISAC scheme achieves the identical sensing performance as the conventional ISAC scheme while maintaining much lower transmission energy consumption.",

author = "Na Xue and Xidong Mu and Yuanwei Liu and Yue Liu and Yue Chen",

year = "2023",

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doi = "10.1109/ICCWorkshops57953.2023.10283560",

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booktitle = "2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings",

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Xue, N, Mu, X, Liu, Y, Liu, Y & Chen, Y 2023, Hybrid NOMA empowered integrated sensing and communications. in 2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings. IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1648-1653, 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023, Rome, Italy, 28/05/2023. https://doi.org/10.1109/ICCWorkshops57953.2023.10283560

Hybrid NOMA empowered integrated sensing and communications. / Xue, Na; Mu, Xidong; Liu, Yuanwei et al.
2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1648-1653 ( IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings).

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

TY - GEN

T1 - Hybrid NOMA empowered integrated sensing and communications

AU - Xue, Na

AU - Mu, Xidong

AU - Liu, Yuanwei

AU - Liu, Yue

AU - Chen, Yue

PY - 2023/10/23

Y1 - 2023/10/23

N2 - A novel concept of hybrid non-orthogonal multiple access (HNOMA) empowered integrated sensing and communications (ISAC) is proposed, where the additional sensing-to-communication (S2C) interference can be mitigated via successive interference cancellation (SIC) in an adaptive manner. A transmit power minimization problem is formulated to jointly optimize the beamforming vectors and SIC options, subject to the dual functionality requirements. To address this non-convex mixed integer problem, we first investigate the ideal case where the additional S2C interference can be unconditionally eliminated. It reveals that the required number of dedicated sensing beams is no more than one. By exploring this insight, we propose a hybrid-NOMA ISAC (HNOMA-ISAC) scheme, where the binary SIC option of each CU is determined via the optimal solution of the ideal case. The remaining beamforming design problem is solved via semidefinite relaxation (SDR). Simulation results reveal that the proposed HNOMA-ISAC scheme achieves the identical sensing performance as the conventional ISAC scheme while maintaining much lower transmission energy consumption.

AB - A novel concept of hybrid non-orthogonal multiple access (HNOMA) empowered integrated sensing and communications (ISAC) is proposed, where the additional sensing-to-communication (S2C) interference can be mitigated via successive interference cancellation (SIC) in an adaptive manner. A transmit power minimization problem is formulated to jointly optimize the beamforming vectors and SIC options, subject to the dual functionality requirements. To address this non-convex mixed integer problem, we first investigate the ideal case where the additional S2C interference can be unconditionally eliminated. It reveals that the required number of dedicated sensing beams is no more than one. By exploring this insight, we propose a hybrid-NOMA ISAC (HNOMA-ISAC) scheme, where the binary SIC option of each CU is determined via the optimal solution of the ideal case. The remaining beamforming design problem is solved via semidefinite relaxation (SDR). Simulation results reveal that the proposed HNOMA-ISAC scheme achieves the identical sensing performance as the conventional ISAC scheme while maintaining much lower transmission energy consumption.

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M3 - Conference contribution

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BT - 2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings

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ER -

Xue N, Mu X, Liu Y, Liu Y, Chen Y. Hybrid NOMA empowered integrated sensing and communications. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1648-1653. ( IEEE International Conference on Communications Workshops (ICC Workshops 2023): Proceedings). doi: 10.1109/ICCWorkshops57953.2023.10283560

Hybrid NOMA empowered integrated sensing and communications

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

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