TY - GEN
T1 - Dynamic Programming-Based Subcarrier Allocation Scheme for MIMO-OFDM ISAC Systems
AU - Liu, Meng
AU - Su, Wanying
AU - Yao, Rugui
AU - Nan, Xi
AU - Xu, Hong
AU - Zhu, Yongjia
AU - Fan, Ye
AU - Zuo, Xiaoya
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Integrated Sensing and Communication (ISAC) is increasingly regarded as an effective solution to address spectrum shortages by enabling spectrum sharing between sensing and communication functions. The rational allocation of limited resources between communication and sensing functions is crucial for improving system performance. To solve this problem, this paper explores adaptive subcarrier allocation in Orthogonal Frequency Division Multiplexing (OFDM)-based Multiple-Input Multiple-Output (MIMO) ISAC systems. To evaluate system performance, a performance weighting factor is introduced, using the weighted sum of the communication data rate (CDR) and sensing mutual information (MI) as the optimization objective. Subcarriers are divided into communication-exclusive and sensing-exclusive modes, and their allocation is optimized to maximize overall system performance. A Dynamic Programming (DP) algorithm with backtracking solves the integer programming problem, preserving allocation results. Simulation results show that the proposed subcarrier allocation scheme outperforms scenarios with independent communication and sensing.
AB - Integrated Sensing and Communication (ISAC) is increasingly regarded as an effective solution to address spectrum shortages by enabling spectrum sharing between sensing and communication functions. The rational allocation of limited resources between communication and sensing functions is crucial for improving system performance. To solve this problem, this paper explores adaptive subcarrier allocation in Orthogonal Frequency Division Multiplexing (OFDM)-based Multiple-Input Multiple-Output (MIMO) ISAC systems. To evaluate system performance, a performance weighting factor is introduced, using the weighted sum of the communication data rate (CDR) and sensing mutual information (MI) as the optimization objective. Subcarriers are divided into communication-exclusive and sensing-exclusive modes, and their allocation is optimized to maximize overall system performance. A Dynamic Programming (DP) algorithm with backtracking solves the integer programming problem, preserving allocation results. Simulation results show that the proposed subcarrier allocation scheme outperforms scenarios with independent communication and sensing.
KW - communication data rate (CDR)
KW - Integrated radar sensing and communication (ISAC)
KW - multiple-input multiple-output (MIMO)
KW - mutual information (MI)
KW - subcarrier allocation
UR - https://www.scopus.com/pages/publications/105034187184
U2 - 10.1109/ICCT67417.2025.11373992
DO - 10.1109/ICCT67417.2025.11373992
M3 - 会议稿件
AN - SCOPUS:105034187184
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 1149
EP - 1154
BT - 2025 IEEE 25th International Conference on Communication Technology, ICCT 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Communication Technology, ICCT 2025
Y2 - 16 October 2025 through 18 October 2025
ER -