Intelligent data rate control in cognitive mobile heterogeneous networks

Abstract

An adaptive rate controller (ARC) based on adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt the changing traffic load and the user speed for multimedia call services. Through simulations, it is demonstrated that the ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while maximizing the average throughput. It is also shown that the ARC can make mobile heterogeneous network to accommodate more traffic load.