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research-article

LTE radio analytics made easy and accessible

Authors:

Ezzeldin Hamed,

Li Erran LiAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 44, Issue 4

Pages 211 - 222

https://doi.org/10.1145/2740070.2626320

Published: 17 August 2014 Publication History

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. 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.

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Cited By

Vargas Anamuro CBlanc ALagrange X(2024)Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE systemTelecommunication Systems10.1007/s11235-024-01196-5Online publication date: 5-Jul-2024
https://doi.org/10.1007/s11235-024-01196-5
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https://doi.org/10.1002/9781394167319.ch2
Lazebnik TRosenfeld A(2023)FSPLInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2023-000933:1(103-115)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.34768/amcs-2023-0009
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Index Terms

LTE radio analytics made easy and accessible
1. Networks
  1. Network protocols

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Information & Contributors

Information

Published In

ACM SIGCOMM Computer Communication Review Volume 44, Issue 4

SIGCOMM'14

October 2014

672 pages

ISSN:0146-4833

DOI:10.1145/2740070

Editors:
Konstantina Papagiannaki
Telefonica Research, Barcelona, Spain
,
Katerina Argyraki
EPFL, Switzerland
,
Hitesh Ballani
Microsoft Research Cambridge, UK
,
Fabián Bustamante
Northwestern University, USA
,
Joseph Camp
SMU, USA
,
Augustin Chaintreau
Columbia University, USA
,
Phillipa Gill
Stony Brook University, USA
,
Marco Mellia
Politecnico di Torino, Italy
,
Bhaskaran Raman
IIT Bombay, India
,
Joel Sommers
Colgate University, USA
,
Aline Carneiro Viana
INRIA, France

Issue’s Table of Contents

SIGCOMM '14: Proceedings of the 2014 ACM conference on SIGCOMM
August 2014
662 pages
ISBN:9781450328364
DOI:10.1145/2619239
General Chairs:
Fabián E. Bustamante
Northwestern University, USA
,
Y. Charlie Hu
Purdue University, USA
,
Program Chairs:
Arvind Krishnamurthy
University of Washington, USA
,
Sylvia Ratnasamy
University of California, Berkeley, USA

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2014

Published in SIGCOMM-CCR Volume 44, Issue 4

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Vargas Anamuro CBlanc ALagrange X(2024)Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE systemTelecommunication Systems10.1007/s11235-024-01196-5Online publication date: 5-Jul-2024
https://doi.org/10.1007/s11235-024-01196-5
Rao CSahoo SYanine F(2024)Renewable Power Generation Price Prediction and Forecasting Using Machine LearningMicrogrids for Commercial Systems10.1002/9781394167319.ch2(21-47)Online publication date: 25-Feb-2024
https://doi.org/10.1002/9781394167319.ch2
Lazebnik TRosenfeld A(2023)FSPLInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2023-000933:1(103-115)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.34768/amcs-2023-0009
Piroddi ATorregiani M(2023)Machine Learning Applied to LoRaWAN Network for Improving Fingerprint Localization Accuracy in Dense Urban AreasNetwork10.3390/network30100103:1(199-217)Online publication date: 9-Feb-2023
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Kim BMecklenbräuker CGerstoft PBoukerche ADe Rango FSun Z(2023)Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum SensingProceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3616388.3617527(137-145)Online publication date: 30-Oct-2023
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Watanabe Wdos Santos Dde Oliveira C(2023)Layout Cross-Browser Failure Classification for Mobile Responsive Design Web Applications: Combining Classification Models Using Feature SelectionACM Transactions on the Web10.1145/358051817:4(1-34)Online publication date: 10-Oct-2023
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He YHe QFang SLiu YMeng WJensen CCremers CKirda E(2023)When Free Tier Becomes Free to Enter: A Non-Intrusive Way to Identify Security Cameras with no Cloud SubscriptionProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security10.1145/3576915.3623083(651-665)Online publication date: 15-Nov-2023
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Wang WHuang ZGao Z(2023)Intelligent Positioning Algorithm Based on CSI Channel ModeInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800142359006137:04Online publication date: 11-Mar-2023
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Zou RWang W(2023)Downlink Decoding Based Accurate Measurement of LTE Spectrum TenancyIEEE Transactions on Mobile Computing10.1109/TMC.2021.312556922:5(2613-2627)Online publication date: 1-May-2023
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