Effective Channel Assignments in Cognitive Radio Networks
Cognitive Radio Networks (CRNs) promise to be the next generation of the key enabling technology that enables Dynamic Spectrum Access (DSA). The Channel Assignment (CA) problem is one of the most important issues in CRNs, with the objective of satisfying the interference constraints, and maximizing the number of nodes with channels assigned. In this paper, their goal is to design highly-efficient and localized protocols for CA. In addition, the authors want to maximize node connectivity after CA, which is important for packet delivery. To this end, they design two basic algorithms and an advanced algorithm framework. Within this framework, they can change the edge priority in CA to meet different requirements.