QoS scheduling algorithm with Improved MAX C/I for the performance enhancement of WiMAX environment

Worldwide Interoperability for Microwave Access applications and QoS specifications are based upon class based schemes. These service classes effect to QoS for user fairness and system utilization. Improved MAX C/I algorithm considers user waiting time and channel to interference ratio but not class based scheduling schemes, after including this neglecting condition algorithm solves the problem of long distance priorities. MAX C/I and RR scheduled the instructions of execution where queue and priorities of users set. But this Improved MAX C/I condition not gain QoS specifications criteria, now mDmT resolves those neglecting conditions to resolve QoS lacking under network architecture. This comparison performs to evaluate minimum delay for user choice execution and maximum utilization of system with high efficiency. mDmT generates with the combination of MLDRR, E-APF, Modified Inverse C/I and mDmSIR which are completely designs under the instructions of WiMAX Scheduling schemes. MLDRR scheduler that not categorized sudden priorities to users because DRR show fix granularity and it gives large delay for short executable packets and low throughput. MLDRR high throughput and small delay. The property helps to overcome the problem of DRR and provides work conserving scheduler environment where scheduler never idles when packets are waiting in the queue. E- APF describes Resource management with MDRR and APF with consideration of quantum value, assign weights and priority queuing. Differentiation of quality of service (QoS) acts as modified C/I base scheduling algorithm and performs on specifications of Prioritized C/I and Modified Inverse C/I scheduling. Prioritized C/I scheduling works with MAX C/I and RR, for those users which are in equal distances from base station (BS) with different service class schemes. In Prioritized C/I, if two users having same priority then scheduler allocates execution time according to Channel Quality Indicator (CQI) values. Second is Modified Inverse C/I which is combination of MAX C/I and Inverse C/I and it improves QoS for degraded condition's user. At initial stage priorities are not decided. Least CQI value user has highest priority as compared to others, this improvement generally uses for mobile users in the degraded condition. Effective values to maintain higher throughput minimum average delay and suitable for real time services are defined by mDmSIR under light and heavy load due to avoidance of maximum latency condition for rtps flows. Advantage of these comparisons is defining how mDmT performs in various QoS criteria. For these all data Simulation acts under MAT LAB R2012a and it helps for consider mDmT scheduling algorithm gives optimal results.