Coordinated Power Control for Network Integrated Sensing and Communication

This correspondence paper studies a network integrated sensing and communication (ISAC) system that unifies the interference channel for distributed radar sensing. In this system, set of ISAC transmitters send individual messages to their respective users (CUs), at same time cooperate with multiple receivers estimate location one target. We exploit coordinated power control among minimize total transmit while ensuring minimum signal-to-interference-plus-noise ratio (SINR) constraints CUs maximum Cramér-Rao lower bound (CRLB) requirement target estimation. Although formulated problem is non-convex difficult solve in general, we propose two efficient algorithms obtain high-quality solutions based on semi-definite relaxation (SDR) CRLB approximation, respectively. Numerical results show proposed designs achieve substantial performance gains terms reduction, as compared benchmark heuristic separate communication-sensing design.