Optimal resource allocation algorithm for OFDMA-based WiMAX network using stochastic fish swarm optimization

Generally, slot allocation is followed by power allocation for sub-channels in that slot. The power can be allocated equally to all sub-channels which an optimal power allocation over the sub-channels are used. However, since there is no explicit method to calculate the sub-channels level which should be determined for every symbol period over the sub-channels, it will be a heavy computational burden for the scheduler. This problem is considered as a stochastic problem. Another major motivating factor behind this work is that the 802.16 draft standard does not specify the exact scheduling 12 technique to be used in the system. 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.