Performance Evaluation of v-eNodeB using Virtualized Radio Resource Management

Authors

Sai Keerti Teja BoddepalliFollow

First Advisor

Jitender S. Deogun

Date of this Version

5-2018

Comments

A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fullfillment of Requirements For the Degree of Master of Science, Major: Computer Science, Under the Supervision of Professor Jitender S. Deogun. Lincoln, Nebraska: May, 2018.

Copyright (c) 2018 Sai Keerti Teja Boddepalli

Abstract

With the demand upsurge for high bandwidth services, continuous increase in the number of cellular subscriptions, adoption of Internet of Things (IoT), and marked growth in Machine-to-Machine (M2M) traffic, there is great stress exerted on cellular network infrastructure. The present wireline and wireless networking technologies are rigid in nature and heavily hardware-dependent, as a result of which the process of infrastructure upgrade to keep up with future demand is cumbersome and expensive.

Software-defined networks (SDN) hold the promise to decrease network rigidity by providing central control and flow abstraction, which in current network setups are hardware-based. The embrace of SDN in traditional cellular networks has led to the implementation of vital network functions in the form of software that are deployed in virtualized environments. This approach to move crucial and hardware intensive network functions to virtual environments is collectively referred to as network function virtualization (NFV). Our work evaluates the cost reduction and energy savings that can be achieved by the application of SDN and NFV technologies in cellular networks.

In this thesis, we implement a virtualized eNodeB component (Radio Resource Management) to add agility to the network setup and improve performance, which we compare with a traditional resource manager. When combined with dynamic network resource allocation techniques proposed in Elastic Handoff, our hardware agnostic approach can achieve a greater reduction in capital and operational expenses through optimal use of network resources and efficient energy utilization.

Advisor: Jitender S. Deogun