Intelligent Wireless Resource Allocation Algorithm for Unmanned Aerial Vehicle Integrated Communication and Sensing Networks in Railway Emergency Scenarios
Intelligent Wireless Resource Allocation Algorithm for Unmanned Aerial Vehicle Integrated Communication and Sensing Networks in Railway Emergency Scenarios
In railway emergency scenarios with ground infrastructure vulnerable to damage from harsh natural environments,an Unmanned Aerial Vehicle(UAV)integrated communication and sensing wireless access network architecture is proposed in this paper,enabling real-time environmental sensing and information backhaul.Given the limited endurance of UAVs,a train braking distance model and a UAV energy consumption model are established,which are then jointly utilized to adjust the UAV flight speed and communication transmit power,optimizing overall UAV energy consumption while satisfying communication performance requirements during information backhaul and environmental sensing.Analysis reveals that this optimization problem conforms to the Markov Decision Process(MDP).Consequently,an intelligent wireless resource allocation algorithm for UAV integrated communication and sensing,grounded in the Double Deep Q Network(DDQN),is proposed to tackle the problem.The simulation results demonstrate that the proposed algorithm exhibits excellent convergence performance and maximizes the operational duration of UAV communications,while meeting the requirements for environmental sensing and information backhaul in railway emergency scenarios.
关键词
铁路应急通信/无人机/通信感知一体化/无线资源分配/深度强化学习
Key words
Railway emergency communication/Unmanned Aerial Vehicle(UAV)/Integrated communication and sensing/Wireless resource allocation/Deep reinforcement learning
维普
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