A Cell Based Dynamic Spectrum Management Scheme with Interference Mitigation for Cognitive Networks

The scarcity of spectrum resource in future wireless networks has inspired the demand of dynamic spectrum management (DSM). This paper investigates a cell based dynamic spectrum management (CBDSM) scheme to enhance the spectrum utilization and maximize the profit of operators for cognitive networks. In this scheme, the economic factor of the spectrum is taken into account in order to guarantee the rationality for spectrum trading. Especially, we focus on the interference mitigation method, which is considered as a fundamental issue for applying DSM to wireless systems. As a potential tool for promoting the distributed autonomous radio resource optimization algorithms, game theory is applied in the DSM scheme to investigate a win-win solution for spectrum trading between RATs. The simulation results reveal that the proposed CBDSM scheme improves the spectrum utilization and the profit of operators while effectively mitigating mutual interference between wireless networks.