Nehru Institute of Engineering and Technology, Coimbatore.
Bannari Amman Institute of Technology
King Khalid University, Abha,Saudi Arabia
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 efficientnetwork 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. We formulated the optimal allocation of resources as a convex problem with the goal of optimizing the overall data rate function of the system. We implemented an owlbased search approach to solve the problem of process optimization and theoretically demonstrated that the approach is special and also converges to the optimal solution of the global system. The proposed solution is implemented in MATLAB and simulation results have been given to test the bandwidth and resource allocation efficiency of the distributed scheme for different users based on demand. We also contrasted their success with our proposed metaheuristic approach and without it and the results describes the increased efficiency for network slicing.