Radio Map-Based Spectrum Sharing for Joint Communication and Sensing

The sixth-generation (6G) network is expected to provide both communicationand sensing (C&S) services. However, spectrum scarcity poses a major challengeto the harmonious coexistence of C&S systems. Without effective cooperation,the interference resulting from spectrum sharing impairs the performance ofboth systems. This paper addresses C&S interference within a distributednetwork. Different from traditional schemes that require pilot-basedhigh-frequency interactions between C&S systems, we introduce a third partynamed the radio map to provide the large-scale channel state information (CSI).With large-scale CSI, we optimize the transmit power of C&S systems to maximizethe signal-to-interference-plus-noise ratio (SINR) for the radar detection,while meeting the ergodic rate requirement of the interfered user. Given thenon-convexity of both the objective and constraint, we employ the techniques ofauxiliary-function-based scaling and fraction programming for simplification.Subsequently, we propose an iterative algorithm to solve this problem.Simulation results collaborate our idea that the extrinsic information, i.e.,positions and surroundings, is effective to decouple C&S interference.