Receiver-Centric Channel Assignment Model and Algorithm in Cognitive Radio Network

In this paper, we propose a receiver-centric channel allocation model in cognitive wireless network. Compared with the traditional transmitter-centric model, it could more accurately formulate the co-channel interference constraint in cognitive wireless network. In addition, the traditional graph-theoretic and game-theoretic channel assignment algorithms in cognitive radio network are extended to the proposed receiver-centric model with some important modifications. The simulation results demonstrate the efficiency of these algorithms.