Information-Theoretic Limits of Integrated Sensing and Communication With Correlated Sensing and Channel States for Vehicular Networks

In connected vehicular networks, it is vital to have nodes that are capable of sensing surrounding environments and exchanging messages with each other for automating coordinating purposes. Towards this end, integrated communication (ISAC), combining both systems jointly utilize their resources pursue mutual benefits, emerges as a new cost-effective solution. ISAC, the hardware spectrum co-sharing leads fundamental tradeoff between performance, which not well understood except very simple cases same channel states, perfect state information at receiver (CSIR). paper, general point-to-point ISAC model proposed account scenarios where different from but correlated state, CSIR necessarily perfect. For considered, optimal characterized by capacity-distortion function quantifies best rate given distortion constraint requirement. An iterative algorithm compute such tradeoff, few non-trivial examples constructed demonstrate benefits compared separation-based approach.