An analytical queuing model is proposed for the classified services of WiMAX network. Simulation model is also developed that corresponds to the Markovian analytical model using Java modeling tool (JMT) . This is a new and efficient discrete event tool for queuing network modeling and workload analysis. QoS metrics have been evaluated for the multi-rate traffic in multiple scenarios. Results obtained from simulation are compared for validation and analysis. Outcomes show that the proposed model is more efficient than the conventional method by improving residence time,response time,increasing system throughput and efficiency at queuing level with a slight degradation in call acceptance factor. An analytical queuing model is proposed for the classified services of WiMAX network. Simulation model is also adapted that the Markovian analytical model using Java modeling tool (JMT). This is a new and efficient discrete event tool for queuing network modeling and workload analysis Results obtained from simulation are compared for validation and analysis. Outcomes show that the proposed model is more efficient than the conventional methods by improving residence time, response time, increasing system throughput and efficiency at queuing level with a slight degradation in call acceptance factor.