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dc.contributor.authorKatabi, Dina
dc.contributor.authorErran Li, Li
dc.contributor.authorSuresh Kumar, Swarun
dc.contributor.authorHamed, Ezzeldin Omar Hussein
dc.date.accessioned2015-12-28T00:40:15Z
dc.date.available2015-12-28T00:40:15Z
dc.date.issued2014-08
dc.identifier.isbn9781450328364
dc.identifier.urihttp://hdl.handle.net/1721.1/100518
dc.description.abstractDespite the rapid growth of next-generation cellular networks, researchers and end-users today have limited visibility into the performance and problems of these networks. As LTE deployments move towards femto and pico cells, even operators struggle to fully understand the propagation and interference patterns affecting their service, particularly indoors. This paper introduces LTEye, the first open platform to monitor and analyze LTE radio performance at a fine temporal and spatial granularity. LTEye accesses the LTE PHY layer without requiring private user information or provider support. It provides deep insights into the PHY-layer protocols deployed in these networks. LTEye's analytics enable researchers and policy makers to uncover serious deficiencies in these networks due to inefficient spectrum utilization and inter-cell interference. In addition, LTEye extends synthetic aperture radar (SAR), widely used for radar and backscatter signals, to operate over cellular signals. This enables businesses and end-users to localize mobile users and capture the distribution of LTE performance across spatial locations in their facility. As a result, they can diagnose problems and better plan deployment of repeaters or femto cells. We implement LTEye on USRP software radios, and present empirical insights and analytics from multiple AT&T and Verizon base stations in our locality.en_US
dc.description.sponsorshipNational Science Foundation (U.S.)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2619239.2626320en_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.titleLTE radio analytics made easy and accessibleen_US
dc.typeArticleen_US
dc.identifier.citationSwarun Kumar, Ezzeldin Hamed, Dina Katabi, and Li Erran Li. 2014. LTE radio analytics made easy and accessible. In Proceedings of the 2014 ACM conference on SIGCOMM (SIGCOMM '14). ACM, New York, NY, USA, 211-222.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorSuresh Kumar, Swarunen_US
dc.contributor.mitauthorHamed, Ezzeldin Omar Husseinen_US
dc.contributor.mitauthorKatabi, Dinaen_US
dc.relation.journalProceedings of the 2014 ACM conference on SIGCOMM (SIGCOMM '14)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.orderedauthorsKumar, Swarun; Hamed, Ezzeldin; Katabi, Dina; Erran Li, Lien_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4071-4932
dc.identifier.orcidhttps://orcid.org/0000-0003-4854-4157
dc.identifier.orcidhttps://orcid.org/0000-0003-3570-7789
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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