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Energy Considerations for WiFi Offloading of Video Streaming

  • Valentin BurgerEmail author
  • Fabian Kaup
  • Michael Seufert
  • Matthias Wichtlhuber
  • David Hausheer
  • Phuoc Tran-Gia
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 158)

Abstract

The load on cellular networks is constantly increasing. Especially video streaming applications, whose demands and requirements keep growing, put high loads on cellular networks. A solution to mitigate the cellular load in urban environments is offloading mobile connections to WiFi access points, which is followed by many providers recently. Because of the large number of mobile users and devices there is also a high potential to save energy by WiFi offloading. In this work, we develop a model to assess the energy consumption of mobile devices during video sessions. We evaluate the potential of WiFi offloading in an urban environment and the implications of offloading connections on energy consumption of mobile devices. Our results show that, although WiFi is more energy efficient than 3G and 4G for equal data rates, the energy consumption increases with the amount of connections offloaded to WiFi, due to poor data rates obtained for WiFi in the streets. This suggests further deployment of WiFi access points or WiFi sharing incentives to increase data rates for WiFi and energy efficiency of mobile access.

Keywords

WiFi offloading Energy efficiency Cellular networks Mobile access Video on demand Modelling Performance evaluation 

Notes

Acknowledgement

This work has been supported in parts by the EU (FP7/#317846, SmartenIT and FP7/#318398, eCOUSIN) and the DFG as part of the CRC 1053 MAKI. The authors would like to acknowledge valuable feedback by the reviewers and comments by their colleagues and project partners.

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  • Valentin Burger
    • 1
    Email author
  • Fabian Kaup
    • 2
  • Michael Seufert
    • 1
  • Matthias Wichtlhuber
    • 2
  • David Hausheer
    • 2
  • Phuoc Tran-Gia
    • 1
  1. 1.Insitute of Computer ScienceUniversity of WürzburgWürzburgGermany
  2. 2.Peer-to-Peer Systems Engineering LabTU DarmstadtDarmstadtGermany

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