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Cognitive radio hostile interference resisting method based on Q learning

A technology of cognitive radio and learning algorithm, which is applied in the field of anti-hostile interference of cognitive radio based on Q-learning, can solve problems such as cognitive users being unable to access idle channels and information transmission damage between cognitive users, and achieve the maximum benefit The effect of anti-hostile interference attack

Inactive Publication Date: 2015-04-29
XIAMEN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the hostile interference attack in the cognitive radio network, so that cognitive users cannot access to idle channels or the information transmission between cognitive users is destroyed, and provide a cognitive radio network based on Q learning. Radio anti-hostile jamming method

Method used

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  • Cognitive radio hostile interference resisting method based on Q learning
  • Cognitive radio hostile interference resisting method based on Q learning
  • Cognitive radio hostile interference resisting method based on Q learning

Examples

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Embodiment Construction

[0020] The following examples will further illustrate the present invention.

[0021] Embodiments of the present invention include the following steps:

[0022] 1) The cognitive source node initializes the learning factor γ, the discount factor β, and the maximum time slot m, and initializes the values ​​of the Q value table and V value table to 0;

[0023] 2) Judging whether the current time slot k is 1;

[0024] 3) When k=1, the cognitive source node first detects the access state δ of the authorized user k , when the authorized user accesses the target channel at the current moment, the cognitive source node selects the transmission power 0; otherwise, randomly selects the transmission power a;

[0025] 4) When k>1, the cognitive source node observes the current state and according to the Q value table, select the state in Behavior a that maximizes the Q value k ;

[0026] 5) The cognitive source node observes the next moment state s s k+1 ;

[0027] 6) Cognitive...

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Abstract

The invention discloses a cognitive radio hostile interference resisting method based on Q learning and relates to cognitive radio. The cognitive radio hostile interference resisting method includes that 1), a cognitive source node initializes a learning factor gamma and a discount factor and sets values of a Q value table and a V value table to be 0; 2), the cognitive source node senses state s of k moment and selects optimal behavior a according to the Q value table; 3), the cognitive source node observes state s' of k+1 moment and calculates immediate reward us of information transmission this time; 4), the Q value table and the V value table of a Q learning algorithm are updated; 5), the cognitive source node repeats the steps 2)-4) until an optimal strategy is found. Power control is realized on the basis of Q learning, the cognitive source node and an intelligent jammer adjust own emitting power in realtime by constantly learning environment, and benefit optimization is realized along with continuation of iterative learning.

Description

technical field [0001] The present invention relates to cognitive radio, in particular to a method for resisting hostile interference of cognitive radio based on Q learning. Background technique [0002] The cognitive radio technology is proposed to solve the problem of low frequency resource utilization in the current static spectrum allocation scheme. Due to the broadcast nature of wireless channels, cognitive radio wireless networks are vulnerable to hostile jamming attacks. The jammer transmits jamming signals to the wireless channel continuously or intermittently, so as to prevent cognitive users from accessing the channel or destroy information transmission between nodes. [0003] Spread spectrum communication is a traditional anti-hostile jamming technology. The main spread spectrum methods are frequency hopping (Frequency Hopping, FH), direct sequence spread spectrum (Direct Sequence Spread Spectrum, DSSS) and chirp spread spectrum (Chirp Spread Spectrum, CSS)[ R.A...

Claims

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Application Information

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IPC IPC(8): H04W16/10H04W52/34
CPCH04W16/10H04W52/34
Inventor 肖亮陈桂权周长华李燕
Owner XIAMEN UNIV
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