Performance Analysis And Resource Optimization Of Dual-media Cooperative Relay

In addition to meeting the basic requirements of reliability and effectiveness,the development of communication technology should also consider construction cost,complexity,and other factors in combination with the actual scenarios.Wireless communication technology and power line communication technology are widely used in fields such as smart grid and home Internet of Things.Hybrid communication technologies based on adaptive relay and dual-media parallel communication can integrate superior resources,save construction costs,and improve the overall performance of the communication system.Power line communication currently mainly adopts a two-slot half-duplex relay technology.Full-duplex technology can improve the spectral efficiency and solve electromagnetic interference problems of the system,but its performance is prone to be affected by self-interference.For the half-duplex spectrum efficiency loss and the selfinterference problem of full-duplex,this paper proposes a full-duplex and half-duplex adaptive power line relay algorithm.First,based on the power line channel model of lognormal fading and Bernoulli-Gaussian impulse noise,the signal processing process of different duplex and adaptive relay steps are given.Then,using Gauss-Hermite transform and sub-regional integration,the outage probability in different duplex modes is derived.After that,the reliability of the theoretical equation is verified by Monte Carlo simulation.The impact of duplex mode,self-interference,relay position,power and channel parameters on system performance are analyzed.Finally,the optimal power allocation method is given by the sequential quadratic programming.Relay algorithms in power line and wireless dual-media cooperative communication exhibit distinct advantages and disadvantages under random channels,and the algorithm that achieves the best performance can be determined through an adaptive relay strategy.However,the theoretical performance analysis of multiple relay algorithms for mixed fading and impulse noise encounters practical difficulties,such as lack of closed-form expressions and high complexity of the approximation process.With the goal of maximizing the mutual information in the system,this paper proposes an adaptive relay strategy selection algorithm based on Q-learning(QL-RSS).Specifically,the feedback of the amount of mutual information is obtained by learning the dual-media cooperative communication environment of the time-varying fading channel to adaptively determine the optimal relay algorithm and power allocation factor.This paper also analyzes the influence of the average signal-to-noise ratio,relay position,and power line channel parameters on the performance of the algorithm in terms of mutual information and outage probability and the law of QL-RSS selection action is given.Simulation results show that the proposed algorithm can obtain a quasi-optimal system performance in terms of the above two measures.