Analysis and design of an end to end frame work for coexistence and bandwidth provisioning lte advanced system

Abstract

The proliferation of mobile devices and user applications such as VoIP, video streaming, etc has continued to contribute to the humongous volume of data traffic in cellular networks. Long Term Evolution Advanced (LTE-A), is a leading-edge technology that provides higher peak data rates, more users per cell, lower control plane latency and delivers variety of Quality of Service (QoS) options which include Throughput, Packet Loss Rate, Packet Delay and the delay variation. The communication on the LTE air interface occurs between the Evolved Node B (eNB) and User Equipment (UE) and it is exceptionally imperative to deal with the resources because of the uninterrupted allocation of resources on the LTE networks. From the 3GPPLTE standards, when the uplink is not synchronized, then contention-based random access happens and this management would be a difficult job due to irregular and enormous UE transmissions. To surmount this challenge, a Multi-objective Cooperative Swarm Intelligence Algorithm for Resource Allocation (MCSIA-RA) is proposed in our research which eliminates the multi-objective Knapsack issue with limited modification in the class-based resource allocation scenario. Initially, a priority and urgency factor based user ranking and quantifying scheme is designed for scheduling process. After the scheduling process, the resource allocations employ three objective functions, such as maximization of resource utilization, maximization of Quality of Service (QoS), and interference minimization which is obtained by the combination of hybrid Firefly Algorithm (FFA) and Particle Swarm Optimization (PSO). The phenomenal development of mobile networks and the intelligence of smart mobile devices push resource providers to gaze for more efficient management mechanisms for radio and core network resource so as to improve the clients QoS and the efficiency of traffic management. Network slicing is a technology with the built in concepts of software-defined network (SDN) and network function virtualization (NFV), which enables service providers to set up multiple independent virtual networks to support a wide range of services and applications on a single physical network.An efficient network slicing resource allocation system on LTE network is proposed in this work which helps the network to manage resources allocation individually based on their desires and physiognomies newline