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Wireless communication anti-eavesdrop interference power control algorithm based on Q learning

A technology of jamming power and wireless communication, which is applied in the field of machine learning and physical layer security, can solve problems such as fluctuations in transmission power, and achieve the effects of minimizing network energy loss, maximizing information security, and maximizing network energy loss

Inactive Publication Date: 2018-06-29
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the sender's information transmission power usually fluctuates due to factors such as the legal recipient's geographical location, receiving power, decoding ability, etc.

Method used

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  • Wireless communication anti-eavesdrop interference power control algorithm based on Q learning
  • Wireless communication anti-eavesdrop interference power control algorithm based on Q learning
  • Wireless communication anti-eavesdrop interference power control algorithm based on Q learning

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Embodiment Construction

[0043] Such as figure 1 As shown, a wireless communication anti-eavesdropping interference power control algorithm based on Q learning includes the following steps:

[0044] Step 1: Initialize the transmit power P s , safety evaluation coefficient ρ, interference power x i and the rank t of working hours s .

[0045] S101. Set the transmit power P s The average division is divided into n files, and the transmission power set is recorded as L, so that L=[P 1 ,P 2 ,···,P n ];

[0046] S102. Determine the safety assessment coefficient ρ made jointly by the legitimate sender and the receiver, ρ∈[0,1];

[0047] S103. Transmit power P from the legitimate sender s and the safety evaluation coefficient ρ are combined to obtain a state set, denoted as S, S=[P s , ρ];

[0048] S104. Divide the jamming power of friendly jammers into n levels on average, record the jamming power action set of friendly jammers as A, let A=[x 1 ,x 2 ,···,x n ];

[0049] S105. Set the working ...

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Abstract

The invention relates to a wireless communication anti-eavesdrop interference power control algorithm based on Q learning. The wireless communication anti-eavesdrop interference power control algorithm comprises steps that S1. transmission power Ps, safety evaluation coefficient Rho, interference power xi, and levels of working time ts are initialized, and working time ts of an edge server is equally divided into k parts, and each part is used as a time slot t<(k)><s>; S2. the related quantity of the working state of the kth time slot t<(k)><s> is calculated; S3. a friendly jammer adopts a Q learning algorithm for learning, and a decision is made in every time slot t<(k)><s> according to a system state S(k), and then a corresponding motion xi(k) is selected; S4. after the Q learning training of the edge server is completed, the friendly jammer is used to schedule the motion X<k> to transmit a friendly interference signal according to an equation V(S<k+1>,X<k>)corresponding to thecurrent state S(k). The jammer is trained by the Q learning algorithm, and then the jammer continues trying to transmit interference power according to information transmission power of legitimate transmitters until the optimal interference power is finally acquired, and therefore maximization of information security and minimization of network energy loss are realized, and ideal effect of network energy utilization rate is improved.

Description

technical field [0001] The present invention relates to the fields of machine learning and physical layer security, and more specifically, to a Q-learning-based wireless communication anti-eavesdropping interference power control algorithm. Background technique [0002] The friendly jammer transmits jamming with a certain power, aiming to interfere with the eavesdropper, making it impossible for the eavesdropper to eavesdrop on the information sent by the legitimate transmitter, so as to ensure its confidentiality. The adjustment of jamming power of friendly jammer has a crucial influence on the secrecy effect. The interference power is too large, the jammer interferes with the eavesdropper and also interferes with the information transmission on the main channel, causing the legitimate receiver to be unable to recover the information transmitted by the sender, which consumes a lot of energy and increases the energy consumption of the network; If the interference power is t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W52/24H04K3/00
CPCH04K3/43H04K3/82H04W52/243
Inventor 肖亮毛毛雨康显桂安宁
Owner SUN YAT SEN UNIV
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