Dynamic Pricing for Decentralised Rat Selection in Heterogeneous Scenarios

This paper addresses the inclusion of dynamic pricing concepts to provide CRRM solutions in heterogeneous scenarios. A RAT selection algorithm based on a dynamic pricing strategy aimed at controlling the load in the considered RATs in a decentralised way is proposed and evaluated through system level simulations. Results reveal that, by a proper variation of the RAT price, which at the end becomes transparent to the actual price paid by the users, the algorithm is able to provide better performance than when the pricing strategy is not considered.