Adaptive resource allocation for WiMAX mesh network

Abstract

Worldwide Interoperability for Microwave Access is a technology used to enable fast and cost-effective network deployment as well as facilitating multimedia based services and applications available to the users. However, Interference constitutes a major constraint in the widespread use of shared resources for interaction among devices. In this paper, a greedy resource allocation mechanism, which consists of Learning Automata based Greedy Channel Assignment and Learning Automata based Greedy Centralized Scheduling algorithms, is presented to cope with interference as well as to improve spatial reuse in the resource allocation mechanism. Finally, the simulation results demonstrate that our proposed algorithms outperform existing approaches.