A Microeconomics Based Dynamic Spectrum Management Algorithm for Cognitive Wireless Networks

This paper investigates a Microeconomics Based Dynamic Spectrum Management (MB-DSM) scheme to enhance the spectrum utilization and maximize the profit of operators for cognitive heterogeneous networks. The economic factor of the spectrum is considered in order to guarantee the rationality for the spectrum trading. Especially, a space division model is proposed based on Geographical Information System (GIS) to handle the interference issue among wireless systems. As a potential tool for promoting distributed autonomous radio resource optimization algorithms, game theory is applied to investigate a win-win solution for spectrum trading. The simulation results reveal that MB-DSM scheme not only improves the spectrum utilization and the operators profit, but also mitigates effectively the interference between wireless networks.