Next Article in Journal
A Dielectric-Filled Waveguide Antenna Element for 3D Imaging Radar in High Temperature and Excessive Dust Conditions
Next Article in Special Issue
Home Automation System Based on Intelligent Transducer Enablers
Previous Article in Journal
Factors Influencing Continuous Breath Signal in Intubated and Mechanically-Ventilated Intensive Care Unit Patients Measured by an Electronic Nose
Previous Article in Special Issue
Virtual Wireless Sensor Networks: Adaptive Brain-Inspired Configuration for Internet of Things Applications
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(8), 1338; doi:10.3390/s16081338

Virtualized MME Design for IoT Support in 5G Systems

Department of Signal Theory, Telematics, and Communications, University of Granada, Granada 18071, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Ingrid Moerman, Jeroen Hoebeke and Eli De Poorter
Received: 22 May 2016 / Revised: 19 July 2016 / Accepted: 16 August 2016 / Published: 22 August 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
View Full-Text   |   Download PDF [1478 KB, uploaded 22 August 2016]   |  

Abstract

Cellular systems are recently being considered an option to provide support to the Internet of Things (IoT). To enable this support, the 3rd Generation Partnership Project (3GPP) has introduced new procedures specifically targeted for cellular IoT. With one of these procedures, the transmissions of small and infrequent data packets from/to the devices are encapsulated in signaling messages and sent through the control plane. However, these transmissions from/to a massive number of devices may imply a major increase of the processing load on the control plane entities of the network and in particular on the Mobility Management Entity (MME). In this paper, we propose two designs of an MME based on Network Function Virtualization (NFV) that aim at facilitating the IoT support. The first proposed design partially separates the processing resources dedicated to each traffic class. The second design includes traffic shaping to control the traffic of each class. We consider three classes: Mobile Broadband (MBB), low latency Machine to Machine communications (lM2M) and delay-tolerant M2M communications. Our proposals enable reducing the processing resources and, therefore, the cost. Additionally, results show that the proposed designs lessen the impact between classes, so they ease the compliance of the delay requirements of MBB and lM2M communications. View Full-Text
Keywords: NFV; virtualization; 5G; LTE; M2M; IoT; traffic peaks NFV; virtualization; 5G; LTE; M2M; IoT; traffic peaks
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Andres-Maldonado, P.; Ameigeiras, P.; Prados-Garzon, J.; Ramos-Munoz, J.J.; Lopez-Soler, J.M. Virtualized MME Design for IoT Support in 5G Systems. Sensors 2016, 16, 1338.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top