On achievable rates and spectrum allocation in cognitive wireless networks

This paper studies the spectrum allocation strategies in cognitive wireless networks. First, spectrum holes with different protection strategies are generalized to the interference temperature strategy and categorized according to their interference constraints. Also, cognitive users are classified according to their ability in obtaining the primary userpsilas information before actual transmission, which determines their performances in wireless cognitive networks. Then, with the dirty paper coding at the transmitter and the opportunistic interference cancellation at the receiver, the performances of cognitive users in respective spectrum holes are discussed and corresponding capacities of cognitive channels are computed. Following the analysis, several spectrum allocation strategies are proposed. Simulation results show that, one of the proposed strategy dramatically improves the output of the cognitive network without bringing excessive resource consumption load to the system.