Paper Info
Title
Evaluation of Energy Profiles for Mobile Video Prefetching in Generalized Stochastic Access Channels.
Abstract
This paper evaluates the energy cost reduction of Over-The-Top mobile video content prefetching in various network conditions. Energy cost reduction is achieved by reducing the time needed to download content over the radio interface by prefetching data on higher data rates, compared to the standard on demand download. To simulate various network conditions and user behavior, a stochastic access channel model was built and validated using the actual user traces. By changing the model parameters, the energy cost reduction of prefetching in different channel settings was determined, identifying regions in which prefetching is likely to deliver the largest energy gains. The results demonstrate that the largest gains (up to 70%) can be obtained for data rates with strong correlation and low noise variation. Additionally, based on statistical properties of data rates, such as peak-to-mean and average data rate, prefetching strategy can be devised enabling the highest energy cost reduction that can be obtained using the proposed prefetching scheme.
Year
DOI
Venue
2013
10.1007/978-3-319-11569-6_17
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering
Keywords
DocType
Volume
Energy profiles,Stochastic access channel,Mobile video prefetching
Conference
131
ISSN
Citations 
PageRank 
1867-8211
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Alisa Devlic1959.46
Pietro Lungaro2388.26
Zary Segall3640160.36
Konrad Tollmar468084.17