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dc.contributor.authorDeng, Shuo
dc.contributor.authorBalakrishnan, Hari
dc.date.accessioned2014-03-28T15:27:47Z
dc.date.available2014-03-28T15:27:47Z
dc.date.issued2012-12
dc.identifier.isbn9781450317757
dc.identifier.urihttp://hdl.handle.net/1721.1/85950
dc.description.abstractThe 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.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant CNS-0931550)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2413176.2413198en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleTraffic-aware techniques to reduce 3G/LTE wireless energy consumptionen_US
dc.typeArticleen_US
dc.identifier.citationShuo 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDeng, Shuoen_US
dc.contributor.mitauthorBalakrishnan, Harien_US
dc.relation.journalProceedings of the 8th international conference on Emerging networking experiments and technologies (CoNEXT '12)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsDeng, Shuo; Balakrishnan, Harien_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1455-9652
mit.licenseOPEN_ACCESS_POLICYen_US


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