Channel EWA selection strategy in coal mine cognitive radio

Abstract:

In oder to solve extremely unstable link quality and communication failure caused by strong electromagnetic noise and interference in special coal mine environment, this paper proposes an Experience-Weighted Attraction(EWA) selection algorithm. Based on the system structure analysis in depth, it establishes more detailed and reasonable multi-layer reward feedback system. Research is conducted by the method of simple repeated probability experiments through software simulations. By comparing with traditional fixed single channel transmission and Q learning, channel selection strategy with EWA learning has more advantageous performance on sensitivity and stability.