Radio Resource Sharing Framework for Cooperative Multioperator Networks With Dynamic Overflow Modeling

Due to exponentially growing wireless applications and services, traffic demand is rapidly increasing. To cope with such growth, wireless network operators seek radio resource cooperation strategies for their users with the highest grade of service possible. In this paper, we propose a set of analytical models for dynamic spectrum access (DSA) to attain intranetwork resource sharing agreements and adopt such strategies by sharing radio resources. The proposed models focus on reducing blocking probability for a secondary network to attain wireless services as a tradeoff with a marginal increase in the blocking probability of a primary network in return for monetary rewards. We derived the global balance equation and an explicit expression of the blocking probability for each resource sharing model. The robustness of the proposed analytical models is evaluated under different scenarios by considering varying traffic intensities and different network sizes and adding reserved resources. The results show that the blocking probabilities can be significantly reduced with the proposed DSA framework in comparison to the existing local spectrum access schemes.