高精度低开销无蜂窝通感一体化网络波束成形优化OA

To address the challenge of balancing sensing accuracy and resource overhead,a novel cost-accuracy balanced cell-free multiple-input multiple-output(MIMO)integrated sensing and communication(ISAC)system architecture was proposed.In this architecture,a single receiving base station(BS)strategy was adopted,by which resource overhead was reduced compared to traditional multi-receiving schemes.Furthermore,joint delay-angle positioning and an optimal BS selection strategy were innovatively integrated to enhance localization accuracy compared to traditional single-receiving schemes.To achieve high-rate communication and high-precision sensing,an optimization problem for joint beamform-ing design and BS selection was established,and was subsequently reformulated based on the constructive interference utilization mechanism.Mathematical techniques,such as fractional programming and semidefinite relaxation,were em-ployed to solve the established complex non-convex optimization problem.Simulation results demonstrate that com-pared to the conventional single-receiving scheme,the positioning Cramér-Rao bound(CRB)is reduced by approxi-mately 63.27％under the same overhead.Compared to the conventional multi-receiving scheme,energy consumption and latency are reduced by approximately 66.71％and 72.22％,respectively.Consequently,the proposed scheme achieves a superior Pareto front between resource overhead and sensing accuracy.