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Poster Abstract: Performance Evaluation of Machine-to-Machine Communication on Future Mobile Networks in Disaster Scenarios

  • Thomas Pötsch
  • Safdar Nawaz Khan Marwat
  • Yasir Zaki
  • Carmelita Görg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8115)

Abstract

Long Term Evolution (LTE) is the recent standard of wireless communication developed by the Third Generation Partnership Project (3GPP). As the future mobile network, it is currently being rolled out to numerous areas world-wide. Besides other objectives such as enhancing the spectral efficiency and reducing latency for broadband services, LTE has been designed as a pure packet switched system. Hence, it targets the data volume requirements of cellular mobile users by increasing the peak-user data throughput to up to 100 Mbit/s [1]. However, legacy circuit switched services are no longer supported by this technology. Contrary to the existing, wide-spread GSM network, this implies that the support of voice calls and Short Message Service (SMS) have to be realized by voice and SMS via the IP Multimedia Subsystem (IMS). In other words, voice calls are no longer separated from pure data traffic and hence influence each other.

Keywords

Long Term Evolution Short Message Service Emergency Event Voice Call Voice User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    3GPP Technical Report TR 25.913: Requirements for Evolved UTRA and UTRAN. v 2.1.0 (June 2005)Google Scholar
  2. 2.
    Cavallo, E., Noy, I.: The Economics of Natural Disasters: A Survey (2009)Google Scholar
  3. 3.
    Cisco Systems Inc.: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017. Digital Publication (February 2013)Google Scholar
  4. 4.
    Guha-Sapir, D., Hargitt, D., Hoyois, P.: Thirty Years of Natural Disasters 1974-2003: The Numbers. Presses univ. de Louvain (2004)Google Scholar
  5. 5.
    Hofmann, R.D.: Smart Operation of a Mobile Network in Event of Disaster. In: Proc. of 30th International Telecommunications Conference, SanDiego, USA (September 2008)Google Scholar
  6. 6.
    OPNET Modeler, http://www.opnet.com
  7. 7.
    Zaki, Y., Weerawardane, T., Görg, C., Timm-Giel, A.: Long Term Evolution (LTE) Model development within OPNET Simulation Environment. In: OPNET Workshop 2011, Washington D.C., USA, August 29 - September 1 (2011)Google Scholar
  8. 8.
    Zaki, Y., Zahariev, N., Weerawardane, T., Görg, C., Timm-Giel, A.: Optimized Service Aware LTE MAC Scheduler: Design, Implementation and Performance Evaluation. In: OPNET Workshop 2011, Washington D.C., USA, August 29 - September 1 (2011)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Thomas Pötsch
    • 1
  • Safdar Nawaz Khan Marwat
    • 1
  • Yasir Zaki
    • 2
  • Carmelita Görg
    • 1
  1. 1.Communication Networks, TZIUniversity of BremenGermany
  2. 2.Computer Science DepartmentNew York University Abu Dhabi (NYUAD)Abu DhabiUnited Arab Emirates

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