Optimal Time Partitioning in V2V Integrated Sensing and Communication Systems

Platooning-based vehicle-to-vehicle (V2V) integrated sensing and communication (ISAC) frameworks have emerged as an attractive strategy in recent years. In this letter, we present an optimal time partitioning (OTP) framework in V2V ISAC systems. We propose a novel sensing measure for quantifying radar sensing performance as a function of the maximum detectable range and velocity of the radar. With the communication operation following the sensing operation, an OTP problem is formulated and solved as a convex problem, constrained by sensing and communication performance guarantees. Optimal bounds on the time duration for sensing and communication are derived, along with the maximum achievable communication throughput. Furthermore, analytical insights on the inherent trade-offs associated with the design parameters are presented. The simulation results demonstrate that the proposed OTP framework achieves a communication throughput gain of up to 12.6% over the equal time partitioning framework, in addition to meeting the sensing performance requirements.