面向无人机的无蜂窝系统资源优化算法研究OA

When cellular-connected Unmanned Aerial Vehicle(UAV)coexists with Ground User(GUE),there is severe air-ground interference with each other.To solve this problem,a resource allocation optimization scheme in cell-free massive Multiple Input Multiple Output(MIMO)system with Network Assisted Full Duplex(NAFD)is investigated.This system has cooperation ability and enables uplink and downlink transmission simultaneously,which can improve system Spectral Efficiency(SE),while also introduces cross link interference.A Multi-Objective Optimization Problem(MOOP)is formulated to simultaneously maximize the uplink Sum SE(SSE)and the downlink SSE.A Deep Q Network(DQN)-based resource optimization algorithm is proposed,which jointly optimizes the operation mode of the Access Point(AP)and the transmission power of the users to improve the global SSE of the system with low complexity.The simulation results show that the proposed algorithm can effectively reduce the proportion of poor performance users in scenario under complex constraints.Compared with the fixed power transmission scheme,the proposed algorithm has higher system SSE,indirectly alleviates the air-ground interference between UAV and GUE,and improves the overall performance of the system.