Local Channel Assignments in Cognitive Radio Networks
Cognitive Radio Networks (CRNs) promise to enable the next generation of communication networks. The Channel Assignment (CA) problem is one of the most important issues in CRNs. In this paper, the authors' goal is to design highly efficient and localized protocols for CA. In addition, they 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, the authors can change the edge priority in CA to meet different requirements.