An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model

Abstract

This paper investigates the optimal scheduling of cognitive radio network links under an interference temperature (IT) model. A link layer model based on the IT model has been developed. A mathematical cross-layered model for the cognitive radio network link scheduling problem under the IT model is presented. The proposed cross-layered model optimizes the performance of the cognitive radio network across several network layers. The objective is to activate as many simultaneous primary/secondary links while the IT constraints are satisfied. The IT-based link layer scheduling can potentially increase the network performance. The proposed model advocates the potential benefits of adopting a location-aware and IT-based MAC protocol in modern wireless networks.