Multi-Carrier Power Allocation for Integrated Sensing and Communication System

In terms of balancing the detection and communication performance with limited spectrum resources of integrated sensing and communication system, the optimal allocation scheme of power resource is explored in combination with the characteristics of high spectrum utilization of multi-carrier system. Two power allocation schemes are proposed based on maximizing the total system communication rate and the worst communication rate among communication users. The optimization problem of system power constraints and sub-carrier selection conditions meeting the communication rate and radar SINR threshold is constructed. A power allocation algorithm based on the penalty factor Taylor expansion (PF-TE) is proposed to solve the optimization problem. Firstly, to deal with the discrete binary selection factor in the problem, the penalty factor is introduced to make the discrete constraints continuous. Then, the problem is relaxed into a convex optimization problem by Taylor expansion and solved by numerical tools. Finally, the simulation results show that the proposed allocation scheme and PF-TE algorithm can effectively allocate power and the performance is better than the random power allocation.