Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Testbed for Mobile Telephony Networks

Authors: Konrad Meier; Dennis Wehrle; Klaus Rechert; Dirk von Suchodoletz;

Testbed for Mobile Telephony Networks

Abstract

Mobile telephony and mobile communication are both crucial and critical infrastructures for today's society and contribute to its security and safety. In contrast to landline telephony with its physically protectable medium, mobile telephony utilizes air and electromagnetic waves as communication medium, which cannot be easily protected. Due to the specific design and the openly shared medium, mobile communication infrastructure is particularly vulnerable to threats linked to a wide range of security issues and failures caused by overload and blocking. Especially in critical situations like human stampede or natural disasters, the network could break down while remaining physically intact. That is contrary to the desired behavior in catastrophe scenarios, as the infrastructure is meant to provide emergency call functionality and communication for the rescue teams. While traditional usage scenarios even for major events are well researched, there is a lack of knowledge on how to make mobile telephony networks more resilient to unpredictable load in disaster events. We propose a test environment to analyze such scenarios using the example of GSM mobile telephony networks. Furthermore, we identify relevant network parameters and discuss their impact on network resilience. The resulting test bed is based on real hardware and open-source software in order to create a realistic and defined environment which includes all aspects of the air interface in mobile telephony networks and is capable of simulating an overload situation in a defined and fully controlled environment.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!