Performance Analysis Of Physical Layer Of Power Line And Wireless Cooperative Communication System

Power Line Communication(PLC)and wireless communication technologies are important components of power distribution network communications,and have broad application prospects in areas such as smart homes and the Internet of Things(Io T).PLC uses the existing power line infrastructure to transmit information,which has many advantages such as low cost,high efficiency,and extensive coverage.In this paper,PLC network is considered to cooperate with another communication network(such as wireless network)due to the insufficient reliability of power line communication and the inability of mobile terminals to access.The dual-media cooperative communication technology combined with PLC and wireless communication can integrate resources,optimize and complement each other,save construction costs,and improve the overall performance of the system,which has important practical value.The paper solves the problem of probability density function of output signal-to-noise ratio(SNR)in an asymmetric transmission system in order to analyze the system performance,which adopts a hybrid fading model of the general Nakagami-m distributed wireless channel and the Lognormal(Log N)distributed power channel based on the Amplify and Forward(AF)relay protocol,the noise of PLC channel is Bernoulli Gaussian noise.Based on the similarity between Log N distribution and gamma distribution,the key parameters of approximate distribution are determined by using the equations of moment generating function(MGF)and the joint optimization of s vector,and the MGF of harmonic mean of two gamma distribution variables is derived to evaluate the system performance suitable for any m value of fading parameter.Finally,Monte Carlo simulation is used to verify the universality and accuracy of this method.Based on the above analysis,an asymmetric dual-media cooperation scheme based on source interference and untrusted relay was proposed by the paper from the aspect of physical layer security,and the average security capacity was solved.Based on the statistics of the channel state information and the total power budget,the nonlinear multivariate function is solved to optimize the allocation of the power of the source and relay nodes,as well as the power of useful information and artificial noise,to maximize the average security capacity and trade off reliable performance.Theoretical and numerical results show that the proposed system model can achieve better reliability,and the two-variable power allocation strategy makes the security and privacy performance optimal.