基于信道知识地图和空中航廊的低空通感一体化网络规划研究OA

This paper investigates the joint optimization of air corridor planning and base station(BS)transmit power in low-altitude integrated sensing and communication(ISAC)networks.We consider unmanned aerial vehicles(UAVs)operating within a structured air corridor composed of multiple interconnected cubic cells,where ground BSs provide communication and sensing coverage for the air corridor through power control.To support offline network planning,a channel knowledge map(CKM)is introduced to characterize the wireless channel conditions from BSs to candidate airspace locations.Based on the CKM,the air corridor path and BS transmit powers are jointly optimized by minimizing a system cost defined as the weighted sum of the air corridor length and the BS transmit power,subject to corridor-wide communication and sensing performance constraints.To address the resulting large-scale non-convex mixed integer programming problem,a hierarchical coarse-to-fine grid decomposition algorithm is proposed to reduce computational complexity and improve planning efficiency.Simulation results show that the proposed joint design scheme can effectively reduce the overall system cost while ensuring the coverage performance of low-altitude ISAC networks.