Analysis of a queue length aware and latency guaranteed fuzzy-based adaptive resource allocator for WiMAX networks

Abstract

Escalation of multimedia devices in recent times has prompted human appetite for affluent multimedia applications. The QoS demands of these applications can only be satisfied by more and more powerful networks. WiMAX (Worldwide Interoperability for Microwave Access) networks are best suitable to serve these real-time applications; however, quantity of non-real time and best-effort traffic also cannot be neglected. Fair and efficient distribution of resources is always challenging in these networks and schedulers need to be adaptive and passable in order to guarantee appreciable performance levels. This paper introduces a quality of service mechanism based on concepts of fuzzy logic for scheduling different traffic classes in WiMAX networks. The proposed framework simplifies fair allocation of resources to real as well as non-real-time traffic classes. The scheduling ploy is developed by modifying weighted fair queuing algorithm to work adaptively by changing weights of queues serving real- and non-real-time traffic using fuzzy logic inferencing capabilities. New weights are calculated adaptively and these weights decide amount of bandwidth allocated to a particular traffic class. The proposed system works on three parameters: amount of real- and non-real-time traffic in queues, throughput requirement for non-real-time flows, and latency requirement of real-time data. Efficiency and fairness of proposed method is evaluated by performing versatile experiments and comparisons with established practices. The results obtained as implication of proposed work are quite promising.