Enhancement of qos of ofdma wimax network by swarm optimization techniques

Abstract

Generally, slot allocation is followed by power allocation for sub-channels within the specified slot. The power can either be allocated equally to all the sub-channels or allocated optimally over the sub-channels which are used specifically. The power can be allocated equally to all sub-channels which an optimal power allocation over the sub-channels is used. Another major motivating factor behind this research study is that the 802.16 draft standard does not specify the exact scheduling technique to be used in the system. The problems can be overcome by the proposed Optimal Resource Allocation algorithm, which can be incorporated with the stochastic fish swarm optimization. This procedure enables optimization of the constraints in order to perform resource allocation. To overcome problems by the proposed Optimal Resource Allocation (ORA) algorithm is incorporate with the Stochastic Fish Swarm Optimization (SFSO) to optimize the constraints to perform resource allocation. The ORA-SFSO algorithm can also maximize the network throughput and satisfy QoS requirements. The simulation results show that the proposed ORA-SFSO algorithm performs better than the existing algorithms. The main objective of this research work is to design and implement an optimized scheduling algorithm for OFDMA WiMAX networks; to improve the QoS based traffic maintenance. Comparing with the existing approaches, it is aimed to obtain a complete QoS implementation and the best throughput. This research study proves that it can be achieved by maintaining the traffic flow wherever an optimized scheduling method is proposed. Optimization Algorithm comprises Modified Particle Swarm Optimization (MPSO) method for optimizing the QoS parameters, optimum resource allocation and optimum scheduling for various traffics. newline