Heuristic Resource Allocation with Satisfaction for WiMAX Services
نویسندگان
چکیده
The WiMAX technology offers a versatile mobile services platform, which enables operators to provide differential Quality of Service (QoS) for fulfilling subscribers’ various requirements. WiMAX operators need to allocate enough resources to make all subscribers satisfied to avoid “user churn” that subscribers will unsubscribe services due to dissatisfaction with allocated resources. This resources allocation in WiMAX can be modeled as a constrained nonlinear integer problem (Constrained NLIP), which is hard to solve for a large subscriber scale. This paper proposes a heuristic optimization algorithm to allocate available resources for maximizing the operator revenue under the subscribers’ satisfaction constrains for differential services. The efficiency of the proposed algorithm is also evaluated. Keywords-WiMAX, resource allocation, Quality of service, Constrained Nonliner Integer Problem, Genetic algorithm
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