Mobile data offloading: how much can WiFi deliver?

  • Authors:
  • Kyunghan Lee;Joohyun Lee;Yung Yi;Injong Rhee;Song Chong

  • Affiliations:
  • School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea;Department of Electrical Engineering, KAIST, Daejeon, Korea;Department of Electrical Engineering, KAIST, Daejeon, Korea;Department of Computer Science, North Carolina State University, Raleigh, NC;Department of Electrical Engineering, KAIST, Daejeon, Korea

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a quantitative study on the performance of 3G mobile data offloading through WiFi networks. We recruited 97 iPhone users from metropolitan areas and collected statistics on their WiFi connectivity during a two-and-a-halfweek period in February 2010. Our trace-driven simulation using the acquired whole-day traces indicates that WiFi already offloads about 65% of the total mobile data traffic and saves 55% of battery power without using any delayed transmission. If data transfers can be delayed with some deadline until users enter a WiFi zone, substantial gains can be achieved only when the deadline is fairly larger than tens of minutes. With 100-s delays, the achievable gain is less than only 2%-3%, whereas with 1 h or longer deadlines, traffic and energy saving gains increase beyond 29% and 20%, respectively. These results are in contrast to the substantial gain (20%-33%) reported by the existing work even for 100-s delayed transmission using traces taken from transit buses or war-driving. In addition, a distribution model-based simulator and a theoretical framework that enable analytical studies of the average performance of offloading are proposed. These tools are useful for network providers to obtain a rough estimate on the average performance of offloading for a given WiFi deployment condition.