Collaborative ISAC Enabled Multi-Beam and Power Allocation Scheme for Differentiated QoS of Sensing

To overcome the bottleneck of low sensing accuracy and limited sensing range in non-cooperative unmanned aerial vehicle (UAV) location scenarios with single base station (BS) integrated sensing and communication (ISAC), multiple BS collaborative ISAC utilizes wireless resources in mobile communication networks to enhance sensing performance. However, faced with differentiated communication and sensing quality of service (QoS) requirements, base stations require a resource allocation scheme that can adapt to these differences, in order to achieve higher resource utilization and collaborative sensing gains. Therefore, we propose a multi-beam allocation scheme in the multi-BS collaborative ISAC system based on existing cellular networks. Specifically, we use the exponential utility function to represent the global QoS of multi-target sensing and propose the multi-BS collaborative beam power allocation (MCBPA) algorithm to optimize location Cramer-Rao lower bound (CRLB) of targets. The simulation results indicate that MCBPA algorithm can decrease the sensing error of high-precision targets by 51% and save around 20% transmit power to meet all QoS requirements compared to single-BS average beam power allocation (SABPA) algorithm.