On Proposing Optimization Technique for Maximization of Throughput in Multicarrier Systems Based on CRNs

Abstract

To maximize spectrum utilization in efficient manner, Cognitive Radio Networks CRNs are proposed. These networks have the ability to adapt its communication parameters to communicate concurrent using the same band with licensed system by using limited interference at primary users (PUs) while assuring it’s QOS and improvement Quality of Services (QoS) of Secondary Users (SUs). In this paper, improvements in QoS of SUs are achieved by maximizing the total system throughput in CRN. Then, the CRNs throughput maximization can be achieved by selecting the efficient Multicarrier (MCM) technique and using intelligent and logically power allocation strategy. Moreover, calculating the total system throughput in downlink CRN using Generalized Frequency Division Multiplexing (GFDM) and Orthogonal Frequency Division multiplexing (OFDM) modulation techniques will be made. Furthermore, simple and logic proposed optimization technique based on Fuzzy Logic (FL) algorithm will be applied for power allocation strategy to maximize throughput under different constraints such as, maximum transmit power at Access Point (AP) of SUs and interference threshold level at PU receiver to assuring its QOS. Also, system performance in downlink CRN with different number of PUs, SUs, and subcarriers will be investigated. Finally, the effect of the noise level on the system throughput under both constraints will be done.