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
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
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.
UR - http://www.scopus.com/inward/record.url?scp=85177810446&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops57953.2023.10283560
DO - 10.1109/ICCWorkshops57953.2023.10283560
M3 - Conference contribution
AN - SCOPUS:85177810446
T3 - 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023
SP - 1648
EP - 1653
BT - 2023 IEEE International Conference on Communications Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
Y2 - 28 May 2023 through 1 June 2023
ER -
