Optimal Incentive-Compatible Pricing for Dynamic Bandwidth Trading and Allocation in Efficient Spectrum Management
The wireless spectrum is a limited resource. The concepts of cognitive radio and Dynamic Spectrum Allocation (DSA) have been considered as a possible mechanism to improve the efficiency of bandwidth usage and solve the bandwidth deficiency problem. In this paper, the authors propose an open interactive dynamic bandwidth trading model to enable periodic, short-term trading of unused bandwidth by licensed spectrum owners to sublet their surplus resources to service providers that need bandwidth. The model comprises of two phases. The goal of the phase one is to find out the demand of the intended buyers through multiple rounds of learning and revising of the quantityprice schedule.