Cognitive Radio: An NN-PSO Approach Network Selection and Fast Delivery Handover Route 5G LTE Network

Abstract

To move from 4G to 5G technology spectrum deficiency is an important criteria which can be overcome by an efficient technology called Cognitive Radio (CR). This can be achieved by continuous sensing the spectrum band, and detecting the unused frequency bands which would be not used by licensed band and without any unwanted interference to the primary user or licensed user (PU). The demand of spectrum resources has been increased greatly in modern wireless communication system. Network Selection is one of the difficult mechanisms when moving from 4G to 5G technology to address spectrum shortage issue and by achieve Fast delivery handover route with high speed data rate access, and also maintain the QOS. We Proposed NN-PSO method for network selection and Fast Delivery handover route mechanism in order to increase system efficiency by consider more number of SUs in network and providing to their preferences, and respect the criteria of primary network operators, at the same time. An optimization used to reduced unwanted interference suffer by licensed users (PU), due to presence of SU’s and also the subscription fees that SUs have to pay for using the licensed network or band (PN). The goal is to provide SUs good network and fast delivery handover route with a high QoS based on the criteria of SU, subject to the interference boundation of each existing network with other channels. The proposed technique Neural Network and Particle swarm optimization would be use to solve the Network selection and optimization problem. Finally, experimental results and numerical parameters represent the effectiveness of the proposed NN-PSO methods to finding a near-optimal solution for network selection.