Throughput maximization and reliable wireless communication in NOMA using chained fog structure and weighted energy efficiency power allocation approach

Abstract

Novel radio access strategies must be developed to support an unprecedented number of connected devices to increase radio spectral efficiency of 5G and outside, and non-orthogonal multiple features (NOMA) arisen as a possible contender. To support cognitive NOMA networks, power allocation and NOMA-secondary user allocation is the effective technique for enhancing the resource utilization proficiency in power and spectrum domain. NOMA approach provides throughput enhancement to fulfil the demands of next group of Wireless Communication Networks. In this manuscript, a Chained Fog Structure (CFS) with Weighted Energy Efficiency Power Allocation (WEE-PA) method is proposed for throughput maximization and reliable wireless communication (CFS-WEE-NOMA). The aim of this study is “to enhance the throughput by involving underlay NOMA with Chained Fog Structure and WEE-PA method”. Here, the proposed WEE-PA approach is applied to multicarrier NOMA with chained fog structure for enhancing the throughput. During this analysis, the computational complexity due to the consideration of high users and different subcarrier values are solved by the proposed CFS-WEE-NOMA approach. Thus, the proper user pairing, power allocation, and bandwidth sharing of the proposed methodology ensure seamless communication. The simulation of this work is done in MATLAB and the performance metrics like throughput, computational complexity, power consumption, energy efficiency, delay, sum rate is analysed. The proposed CFS-WEE-NOMA approach has achieved 8.6%, 7.7%, and 6.7% high throughput based on transmitted power, 13.6%, 8.6%, and 11.7% high throughput based on subcarrier, and 13.6%, 9.6%, and 12.7% high energy efficiency compared with the existing methods, like Dynamic Network Resource Allocation (DNRA) algorithm (DNRA-NOMA), Multiple Carrier Cell-Less Non-Orthogonal Multiple Access (MC-CL-NOMA), dynamic programming (DP) recursion framework based multicarrier NOMA systems (DPRF-MC-NOMA) methods respectively.