Mobile Data Offloading: How Much Can WiFi Deliver?
Cited 0 times inCited 9 times in
- Mobile Data Offloading: How Much Can WiFi Deliver?
- Lee, Kyunghan; Lee, Joohyun; Yi, Yung; Rhee, Injong; Chong, Song
- Analytical studies; Metropolitan area; Mobile data offloading; Mobile data traffic; Network provider; Quantitative study; Theoretical framework; Trace driven simulation
- Issue Date
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- IEEE-ACM TRANSACTIONS ON NETWORKING, v.21, no.2, pp.536 - 550
- 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.
- ; Go to Link
- Appears in Collections:
- EE_Journal Papers
- Files in This Item:
can give you direct access to the published full text of this article. (UNISTARs only)
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.