Power allocation algorithm based on Q‐learning for two‐way relaying system with dual‐media parallel communication

There has been a growing interest in the cooperative communication of power line and wireless dual-medium, due to promising transmission quality immense flexibility network. However, under condition hybrid fading impulsive noise, theoretical analysis two-way relaying with is difficult because lack closed analytical expressions. In this study, authors propose signal processing method based on Log Likelihood Ratio information estimation for systems; allocation optimisation algorithm Q-learning, which can adaptively select appropriate maximise mutual information. More precisely, ϵ ${\epsilon}$ -greedy strategy adopted estimated forwarding protocol each node adjusted determine optimal factor. The performances such as outage probability are analysed compared simulation shows that reliable effective.