Abstract: The present invention provides a self-powered integrated sensing and communication (ISAC) interactive method of high-speed railway based on hierarchical deep reinforcement learning (HDRL), including: Constructing an integrated system framework for passive sensing and communication of high-speed train, where the passive sensor is mainly used for receiving train status information, and the access point (AP) is utilized for status information sensing of the train; During the remote communication between the AP and the base station (BS), Gaussian mixture model (GMM) clustering method is utilized for obtaining reference handover triggering points and completing the communication handover; Proposing an option-based HDRL algorithm to train the high-speed train agent so as to implement the dynamic autonomous switching process of information sensing and remote communication, thereby ensuring the minimum of task completion time and the timely charging for sensors.

Abstract: The present invention discloses a wireless perception system energy and information transmission method of an unmanned aerial vehicle (UAV) swarm, comprising: building a wireless perception system architecture based on multi-UAV energy supply, wherein the system comprises a plurality of wireless powered sensors and a UAV swarm, and each sensor establishes connection with a UAV based on random access to realize network construction; designing energy and information transmission protocols in the swarm and between the swarm and the sensors, designing a joint optimization algorithm and solving optimal system configuration to obtain optimal transmission strategies. The present invention firstly proposes a joint optimization method of multi-network power allocation, time slot design and beam forming under the condition of multi-UAV autonomous collaborative energy supply, and also provides an efficient and reliable communication means for autonomous cooperative control of the UAV swarm.

Abstract: The present invention discloses a wireless perception system energy and information transmission method of an unmanned aerial vehicle (UAV) swarm, comprising: building a wireless perception system architecture based on multi-UAV energy supply, wherein the system comprises a plurality of wireless powered sensors and a UAV swarm, and each sensor establishes connection with a UAV based on random access to realize network construction; designing energy and information transmission protocols in the swarm and between the swarm and the sensors, designing a joint optimization algorithm and solving optimal system configuration to obtain optimal transmission strategies. The present invention firstly proposes a joint optimization method of multi-network power allocation, time slot design and beam forming under the condition of multi-UAV autonomous collaborative energy supply, and also provides an efficient and reliable communication means for autonomous cooperative control of the UAV swarm.