TY - GEN
T1 - A Non-Orthogonal Multiple Access Assisted Integrated Sensing and Communication Network using Orthogonal Delay-Doppler Division Multiplexing
AU - Sultana, Salma
AU - Zeng, Shuhao
AU - Abdelhadi, Ahmed
AU - Li, Husheng
AU - Han, Zhu
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This work explores the integration of Non-Orthogonal Multiple Access (NOMA) and Orthogonal Delay-Doppler Division Multiplexing (ODDM) in an Integrated Sensing and Communication (ISAC) framework. The proposed system model leverages ODDM for high-mobility scenarios and NOMA for efficient resource utilization, thereby enabling enhanced communication and sensing trade-offs. To achieve a trade-off between communication and sensing performances, an optimization problem is formulated to maximize the weighted sum of sensing performance metric and communication throughput by jointly optimizing user grouping, power allocation, and beamforming, which, however, are coupled. To efficiently solve this problem, we decompose it into three subproblems, i.e., user grouping subproblem, power allocation subproblem, and beamforming subproblem, which are then solved in an iterative manner to improve system performances. Simulation results validate the efficacy of the framework under diverse mobility conditions, demonstrating improved sum-rate and sensing accuracy compared to Orthogonal Multiple Access (OMA) systems. This study provides insights into advanced ISAC architectures, critical for future 6G networks.
AB - This work explores the integration of Non-Orthogonal Multiple Access (NOMA) and Orthogonal Delay-Doppler Division Multiplexing (ODDM) in an Integrated Sensing and Communication (ISAC) framework. The proposed system model leverages ODDM for high-mobility scenarios and NOMA for efficient resource utilization, thereby enabling enhanced communication and sensing trade-offs. To achieve a trade-off between communication and sensing performances, an optimization problem is formulated to maximize the weighted sum of sensing performance metric and communication throughput by jointly optimizing user grouping, power allocation, and beamforming, which, however, are coupled. To efficiently solve this problem, we decompose it into three subproblems, i.e., user grouping subproblem, power allocation subproblem, and beamforming subproblem, which are then solved in an iterative manner to improve system performances. Simulation results validate the efficacy of the framework under diverse mobility conditions, demonstrating improved sum-rate and sensing accuracy compared to Orthogonal Multiple Access (OMA) systems. This study provides insights into advanced ISAC architectures, critical for future 6G networks.
KW - ISAC
KW - NOMA
KW - ODDM
UR - https://www.scopus.com/pages/publications/105006552520
UR - https://www.scopus.com/inward/citedby.url?scp=105006552520&partnerID=8YFLogxK
U2 - 10.1109/ICNC64010.2025.10993843
DO - 10.1109/ICNC64010.2025.10993843
M3 - Conference contribution
AN - SCOPUS:105006552520
T3 - 2025 International Conference on Computing, Networking and Communications, ICNC 2025
SP - 544
EP - 550
BT - 2025 International Conference on Computing, Networking and Communications, ICNC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 International Conference on Computing, Networking and Communications, ICNC 2025
Y2 - 17 February 2025 through 20 February 2025
ER -