Joint Coverage and Detection Performance Metrics for Integrated Sensing and Communication in Automotive Scenarios

In this paper, novel performance metrics are introduced to analyse full-duplex integrated sensing and communication systems. Unlike previous studies, these metrics simultaneously capture the joint statistics achieved by both sensing and communication functions. First, using stochastic geometry, an automotive scenario involving joint radar-communication systems is introduced, in which a vehicle simultaneously detects the next vehicle ahead while receiving a communication signal from a road side unit. Next, the performance metrics are validated using Monte-Carlo simulations and trade-offs between both functions are highlighted. Then, the optimisation of the network node power and density is investigated to maximise the joint performance. Finally, the proposed framework is extended to include mutual interference cancellation capabilities between both functions. The cases of perfect and imperfect cancellation are both analysed. Other extensions and generalisations are also discussed.