Cognitive radio ultra-wideband channel allocation based on sparse channel model

In this paper, we propose a channel allocation approach based on sparse channel model and channel state reconstructed by compressed sensing. The graphical model is proposed based on the sparse property of the primary users and resolved by the min-sum algorithm. Simulation results show that the proposed algorithm can convert channel allocation problem to physical distance and frequency-domain distance optimization problem. The channel allocation scheme which minimizes the interference power at primary users can be quickly calculated.