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Integrated sensing and communication (ISAC) base stations can providecommunication and wide range sensing information for vehicles via downlink (DL)transmission, thus enhancing vehicle driving safety. One major challenge forrealizing high performance communication and sensing is how to deal with the DLmutual interference among adjacent ISAC base stations, which includes not onlycommunication related interference, but also radar sensing relatedinterference. In this paper, we establish a DL mutual interference model ofadjacent ISAC base stations, and analyze the relationship for mutualinterference channels between communications and radar sensing. To improve thesensing and communication performance, we propose a collaborative precodingdesign for coordinated adjacent base stations to mitigate the mutualinterference under the transmit power constraint and constant modulusconstraint, which is formulated as a non-convex optimization problem. We firstrelax the problem into a convex programming by omitting the rank constraint,and propose a joint optimization algorithm to solve the problem. We furthermorepropose a sequential optimization algorithm, which divides the collaborativeprecoding design problem into four subproblems and finds the optimum via agradient descent algorithm. Finally, we evaluate the collaborative precodingdesign algorithms by considering sensing and communication performance vianumerical results.

Collaborative Precoding Design for Adjacent Integrated Sensing and Communication Base Stations