Integrated Sensing and Communication Resource Allocation for Latency Sensitive Services of Connected Automated Vehicles

In the context of rapidly expanding frequency demand in vertical industries, integrated sensing and communication (ISAC) is the key element to address the spectrum shortage, such as integration of radar and communication in vehicular networks. In this paper, we focus on the bandwidth and power allocation for vehicular networks based on ISAC technology. We propose a cross-system optimized resource allocation approach for vehicular ISAC networks, using Lyapunov method to optimize both communication latency and sensing performance. Numerical simulation shows that the algorithm proposed can effectively optimize the latency and perception performance for latency-sensitive services compared with the baseline approach.