Wireless Communication Network using Hybrid WOA and GWO Algorithm

Abstract

: In subsequent generation networks, to perform an improved communication the Orthogonal Frequency Division Multiple Access (OFDM), as well as Multiple Input-Multiple Output (MIMO) systems, are integrated which makes easy the spatial multiplexing on Resource Blocks (RBs) on the basis of time-frequency. A novel approach to interference alleviation was developed in this paper for 3D antenna array models in OFDMA as well as multi-cell MIMO wireless networks. Therefore, in the 3D MIMO-OFDM system, the Dynamic vertical beamforming is exploited to the cell degree separation user-specific down tilts user. The major contribution of this paper is to maximize the cell edge user’s throughput as well as cell center users. Here, the single objective function is the specified multi-objective model that is resolved using the adoption of a novel enhanced approach. This optimization issue is solved using the fine-tuning of particular parameters like RB allocation, allocated power for RB, and cell edge user. A hybrid Whale Optimization Algorithm (WOA) and Grey Wolf Optimization (GWO) algorithm referred to as the Hybrid WOA-GWO approach is used to attain the fine-tuned parameters. At last, the superiority of the adopted technique is examined with existing techniques on the basis of throughput, etc.