面向异构传输需求的多无人机通信协同抗干扰决策方法OA北大核心CSTPCD

In multiple unmanned aerial vehicle(multi-UAV)communication under jamming conditions,users have different communication requirements according to their business,and the quality of each channel is also different,which puts forward new requirements for business requirements and resource matching in anti-jamming communication decisions.For the external adversarial jamming scenario,how to choose suitable channels and power for multiple users,while avoiding jamming,controlling internal conflicts,and optimizing power,to achieve efficient utilization of limited resources,is investigated.A new anti-jamming decision-making method for transmission requirement matching is proposed.First,the characteristics of partially overlapping channels are used for channel resource multiplexing.Then,multi-user collaborative reinforcement learning is used to train user channel selection strategies,and the Stackelberg game is used to optimize power,to achieve resource matching for heterogeneous transmission requirements of users.The proposed method can achieve joint optimization of channel and power for multi-user heterogeneous transmission requirements under jamming conditions,improve the rationality of resource utilization,and achieve improvement in transmission performance.