A Proficient Fair Resource Allocation in the Channel of Multiuser Orthogonal Frequency Division Multiplexing using a Novel Hybrid Bat-Krill Herd Optimization

Abstract

The wireless communication system in the present generation address more challenges because of priority based Resource Allocation (RA) to Real-Time (RT), Best Effort (BE), as well as Non-Real Time (NRT) users in the Wi-Max (Worldwide Inter-operability for Microwave Access) network. Furthermore, the fall of packet and data overflow became an excessive problem in the network. To address this problem, Multi-Input and Multi-Output based Orthogonal Frequency Division Multiplexing (MIMO-OFDM) channel is introduced but in some cases, it also met some challenges in resource allocation strategy. Therefore, this research is to emphasize the Quality of Service (QoS) and prevents data flooding in nodes by the proposed Detain Permissive Network (DPN) model. Furthermore, a novel Hybrid Bat and Krill Herd Optimization (HB-KHO) is proposed for the DPN to allocate the resources based on the priority of users in the MIMO-OFDM channel based Wi-Max network. The execution of the proposed method is carried out in NS-2 platform. The simulation outcome has been attained the finest priority-based resource allocation in terms of better fairness, throughput, and Packet Delivery Ratio (PDR). Moreover, the outcome from the novel proposed technique is compared with existing resource allocation techniques and the comparison shows that the proposed technique is effectively allocated resources to all users in the network.