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Lee, Kyunghan
Mobile Smart Networking Lab (MSN)
Research Interests
  • Low-latency network, cloud computing, 5G network, mobile AI

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Mobile Data Offloading: How Much Can WiFi Deliver?

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Title
Mobile Data Offloading: How Much Can WiFi Deliver?
Author
Lee, KyunghanLee, JoohyunYi, YungRhee, InjongChong, Song
Keywords
Analytical studies; Metropolitan area; Mobile data offloading; Mobile data traffic; Network provider; Quantitative study; Theoretical framework; Trace driven simulation
Issue Date
201304
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE-ACM TRANSACTIONS ON NETWORKING, v.21, no.2, pp.536 - 550
Abstract
97 iPhone users from metropolitan areas and collected statistics on their WiFi connectivity during a two-and-a-half-week 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.
URI
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DOI
http://dx.doi.org/10.1109/TNET.2012.2218122
ISSN
1063-6692
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