Genetic algorithm for autonomic joint radio resource management in end-to-end reconfigurable systems

This article presents the genetic algorithm (GA) asan autonomic approach for the joint radio resource management(JRRM) amongst heterogeneous radio access technologies(RATs) in the end-to-end reconfigurable systems. The jointsession admission control (JOSAC) and the bandwidth allocationare combined as a specific decision made by the operations ofthe genetic algorithm with certain advisable modifications. Theproposed algorithm is triggered on the following two conditions.When a session is initiated, it is triggered for the session tocamp on the most appropriate RAT and select the most suitablebandwidth for the desired service. When a session terminates, itis also used to adjust the distribution of the ongoing sessionsthrough the handovers. This will increase the adjustmentfrequency of the JRRM controller for the best systemperformance. Simulation results indicate that the proposedautonomic JRRM scheme not only effectively reduces thehandover times, but also achieves well trade-off between thespectrum utility and the blocking probability.