A Method of Spectrum Resource Management and Allocation Based on Federated Learning

Abstract

The invention discloses a method for managing and allocating frequency spectrum resources based on federated learning. The method includes that the terminal device collects state information from the environment; if the information change exceeds a threshold value, making a decision on the frequency spectrum, sub-channel and transmission power of the channel transmission; the terminal device collects the state information and reward information at the next moment after the decision, And use the gradient descent method to train the actor network and critic network in the main network; when the cumulative gradient of the terminal device reaches the preset gradient threshold, the main network parameters are uploaded to the base station; the main network parameters collected by the base station reach the threshold After the value is set, the main network parameters are aggregated and broadcast to all terminal devices according to the preset weight; the terminal devices update the parameters of their main network and target network after receiving the aggregated parameters. In order to solve the problems of low spectrum utilization rate and easy disclosure of user privacy in the prior art, the present invention adopts an asynchronous federated learning method, and has the advantage of low communication consumption while solving the above problems.

Description

A Spectrum Resource Management and Allocation Method Based on Federated Learning technical field The present invention relates to a kind of spectrum resource management allocation method, relate in particular to a kind of spectrum resource based on federated learning Manage distribution methods. Background technique In the future communication network, the increasing scale of terminal equipment and the continuous emergence of diversified service types, the network The network capacity creates enormous pressure. Even if the full spectrum is used, there are still challenges in the face of huge bandwidth requirements. only full Only by improving the utilization rate of the full spectrum can the network load be effectively relieved and the service quality of users can be satisfied to the greatest extent. However, compared to In the existing wireless communication system, the spectrum resources of the full-spectrum network show differences and high dynamics, while the ...

AI Technical Summary

Problems solved by technology

Due to the wide distribution of data in the real environment, the base station collects these scattered data for centralized learning to complete resource scheduling. The danger of deriving private information such as the location of the secondary user and the communication frequency band from the sent information

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