Abstract
Integrated Sensing and Communication (ISAC) has emerged as a key direction in 6G technology and is currently a major focus of research. This paper proposes a dynamic power allocation scheme that, under the constraints of transmission power and detection probability, formulates power allocation as an optimization problem aimed at maximizing the system sum rate. The approach accounts for varying target motion states, inter-user interference, and channel conditions. By jointly considering target motion sensing, inter-user interference, and channel conditions, our approach outperforms traditional methods that optimize communication and sensing separately. Numerical simulation results show that this scheme can achieve excellent performance in complex real-world environments. This work contributes to the development of efficient ISAC solutions and provides insights for future research into 6G technologies.