Traffic-aware techniques to reduce 3G/LTE wireless energy consumption
Name
Balakrishnan_Traffic-aware.pdf
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1.22 MB
Format
Adobe PDF
Checksum (MD5)
1c97485a919372bad55150226bd2d158
Author(s)
Deng, Shuo
Balakrishnan, Hari
Date Issued
December 2012
Journal
Proceedings of the 8th international conference on Emerging networking experiments and technologies (CoNEXT '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Shuo Deng and Hari Balakrishnan. 2012. Traffic-aware techniques to reduce 3G/LTE wireless energy consumption. In Proceedings of the 8th international conference on Emerging networking experiments and technologies (CoNEXT '12). ACM, New York, NY, USA, 181-192.
Version
Author's final manuscript
Abstract
The 3G/LTE wireless interface is a significant contributor to battery drain on mobile devices. A large portion of the energy is consumed by unnecessarily keeping the mobile device's radio in its "Active" mode even when there is no traffic. This paper describes the design of methods to reduce this portion of energy consumption by learning the traffic patterns and predicting when a burst of traffic will start or end. We develop a technique to determine when to change the radio's state from Active to Idle, and another to change the radio's state from Idle to Active. In evaluating the methods on real usage data from 9 users over 28 total days on four different carriers, we find that the energy savings range between 51% and 66% across the carriers for 3G, and is 67% on the Verizon LTE network. When allowing for delays of a few seconds (acceptable for background applications), the energy savings increase to between 62% and 75% for 3G, and 71% for LTE. The increased delays reduce the number of state switches to be the same as in current networks with existing inactivity timers.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2413176.2413198
