Intelligent Resource Management Schemes for Heterogeneous Wireless Networks
The integration of Wireless Metropolitan Area Network (WMAN) and Wireless Local Area Network (WLAN) technologies seems to be a feasible option for better and cheaper wireless coverage extension. WMAN/WLAN networks are still a challenging issue to be tackled. This paper thus incorporates a variant of the Particle Swarm Optimization (PSO) algorithm, the so-called Immune Binary Particle Swarm Optimization algorithm (IBPSO), into the design of the dynamic resource management scheme for heterogeneous wireless networks to effectively reduce the dropping probability of handoff calls and to maximize bandwidth utilization. The simulation results show that the authors' scheme is effective in terms of performance metrics, including dropping probability of handoff calls, new call blocking probability, throughputs and bandwidth utilization.