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  1. Proceedings of the 6th annual workshop on Wireless of the students, by the students, for the students (S3 '14)
  2. LTE radio analytics made easy and accessible
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RF-IDraw: virtual touch screen in the air using RF signals
Overheard ACK with token passing: an optimization to 802.11 MAC protocol
Assessing the impact of inter-vehicle communication protocols on road traffic safety
LTE radio analytics made easy and accessible
Using crowdsourced satellite SNR measurements for 3D mapping and real-time GNSS positioning improvement
D-BigBand: sensing GHZ-wide non-sparse spectrum on commodity radios
CMSAS: a concept of middleware architecture to integrate heterogeneous sensor networks and actuators
Smart spectrum access algorithms in mobile TV white space networks for utility maximization
Understanding RRC state dynamics through client measurements with mobilyzer

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LTE radio analytics made easy and accessible ( S3 '14 )

Content Provider ACM Digital Library
Author Kumar, Swarun Erran Li, Li Hamed, Ezzeldin Katabi, Dina
Abstract Despite the rapid growth of next-generation cellular networks, researchers and end-users today have limited visibility into the performance and problems of these networks, 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. 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, widely used for radar and backscatter signals, to operate over cellular signals. This enables businesses and end-users to localize mobile users and study the distribution of LTE performance across spatial locations in their facility. We implement LTEye on USRP software radios, and present empirical insights and analytics from multiple AT&T and Verizon base stations in our locality.
Starting Page 29
Ending Page 30
Page Count 2
File Format PDF
ISBN 9781450330732
DOI 10.1145/2645884.2645891
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-09-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Phy Wireless Cellular Lte Analytics
Content Type Text
Resource Type Article
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