A method for cognitive radio anti-interference intelligent decision based on reinforcement learning

Abstract

The invention relates to a method for cognitive radio anti-interference intelligent decision based on reinforcement learning. The method includes the following steps: under the multichannel cognitivescene, a cognitive user takes perceived channel information and transmission power and channel selection information of an interference unit as state information S and actively selects transmission power and channel selection information to be action information a; the ratio of the signal to interference plus noise ratio SINR to the energy consumption E of the cognitive user is defined as an utility function R which serves as a measuring standard of the action selection performance of the cognitive user; in the cognitive decision model, the state information serves as a known condition, the action selection is decided by the cognition user as a body, the utility function serves as an instant return function in the reinforcement learning, a Q-learning reinforcement learning model is established, and the action decision optimized by the cognitive user is obtained.

Description

technical field [0001] The invention belongs to the field of intelligent cognitive radio, especially for the interaction between a cognitive user and a jammer, and uses a reinforcement learning algorithm in a machine learning algorithm to realize a cognitive radio anti-jamming decision-making problem. Background technique [0002] With the development of cognitive radio communication technology, the problem of lack of available spectrum resources is becoming more and more severe, and the number of cognitive users is increasing rapidly. Finding an effective strategy is very important for the allocation of idle spectrum. With the gradual maturity of cognitive radio technology, the role and status of military communication in modern warfare have been continuously improved, and the problem of anti-jamming in military communication has become increasingly prominent. The traditional decision-making technology generally considers the performance of the optimal secondary user under ...

AI Technical Summary

Problems solved by technology

The traditional decision-making technology generally considers the performance of the optimal secondary user under the constraint of the interference of the secondary user to the authorized user, and there is a shortage of dynamic adjustment strategies. It is necessary to develop a new intelligent anti-jamming communication technology to deal with various interferences means

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