An Auction Based Approach for Resource Allocation in Multi-Cell MIMO-OFDM Based Cognitive Radio Networks

摘要

The joint problems of channel and power allocation in multi-cell MIMO-OFDM based cognitive radio networks is addressed, in this work. More specifically, a repeated auction is proposed for the resource allocation problem, in which secondary users (SUs) share the primary spectrum under the interference constraints of primary users (PUs). With the inter-cell interference and mutual interference between PUs and SUs, the resource allocation problem is formulated as a non-convex optimization problem. Auction performs well in solving non-convex problems, therefore the interference auction is proposed. Moreover, with the theoretical analysis of equilibrium, an implementation algorithm for the auction is developed and the convergence is proved. Simulation results show that the interference auction obtains a good spectrum efficiency improvement and a rapid convergence rate.