Q-Learning Based Interference-Aware Channel Handoff for Partially Observable Cognitive Radio Ad Hoc Networks

Channel handoff is a crucial function for Cognitive radio ad hoc networks (CRAHNs). The absence of centralized infrastructures and the limited power make the handoff design more challenging. A learning-based interference-aware handoff scheme is proposed for distributed CRAHNs. We model the channel handoff process as a Partially observable Markov decision process (POMDP) and adopt a Q-learning algo...