Unmanned aerial vehicle network transmitting power distribution method and device based on reinforcement learning
A technology of reinforcement learning and transmission power, which is applied in the field of UAV network transmission power distribution based on reinforcement learning, can solve the problems of wasting channel resources and low power distribution efficiency, and achieve the effect of improving system energy efficiency and realizing spectrum sharing
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[0067] In order to make the objects, technical solutions, and advantages of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0068] Embodiments of the present invention provide a method of transgent-based progenitor network transmit power distribution, such as figure 1 As shown, the method includes the following steps:
[0069] S1, initializing the state of the drone and the user's status, defines the parameters of the action space and the neural network;
[0070] S2, initialization value function and Q value of the current network state;
[0071] S3, with environmental interaction reception reward feedback and calculate Q value to take the current action;
[0072] S4, select the optimal action based on the maximum value of the reward obtained by feedback;
[0073] S5, update the next state of the system and store it into an experience pool;
[0074] S6, it is determined whether...
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