In this paper, we combine the network-assisted full-duplex (NAFD) technology and distributed radar sensing to implement integrated sensing and communication (ISAC). The ISAC system features both uplink and downlink remote radio units (RRUs) equipped with communication and sensing capabilities. We evaluate the communication and sensing performance of the system using the sum communication rates and the Cramer-Rao lower bound (CRLB), respectively. We compare the performance of the proposed scheme with other ISAC schemes, the result shows that the proposed scheme can provide more stable sensing and better communication performance. Furthermore, we propose two power allocation algorithms to optimize the communication and sensing performance jointly. One algorithm is based on the deep Q-network (DQN) and the other one is based on the non-dominated sorting genetic algorithm II (NSGA-II). The proposed algorithms provide more feasible solutions and achieve better system performance than the equal power allocation algorithm.

翻译：本文融合网络辅助全双工(NAFD)技术与分布式雷达感知，实现通感一体化(ISAC)。该ISAC系统采用同时具备通信与感知能力的上下行远端无线电单元(RRU)。本文分别利用总通信速率和克拉美罗下界(CRLB)评估系统的通信与感知性能。通过与其他ISAC方案对比，结果表明所提方案能提供更稳定的感知性能与更优的通信性能。进一步地，本文提出两种功率分配算法以联合优化通信与感知性能：一种基于深度Q网络(DQN)，另一种基于非支配排序遗传算法II(NSGA-II)。与等功率分配算法相比，所提算法能提供更可行解并获得更优的系统性能。