Using market equilibrium optimization technique for ressource allocations in underlay cognitive radio

Wireless technology proliferates rapidly creating a growing demand for spectrum which is a rare resource. This problem is becoming more critical knowing that future wireless applications are expected to be greedy in terms of spectrum. The traditional static spectrum assignment policy leads to an under utilization of significant amount of spectrum. This has been the main motivation under the orientation of the research towards the investigation of some efficient new ways for the planning and sharing the radio spectrum. Recently, economic approaches start to play a vital role in sharing and trading the spectrum and introduce a new direction to dynamic spectrum management. In this paper, market equilibrium optimization technique for power allocation for secondary users under primary user's power constraint is visited in OFDM context, and the corresponding assigned rate is evaluated after applying a waterfilling procedure and a proper choice of the best users' prices.