research-article

Towards a characterization of white spaces databases errors: an empirical study

Authors:

Khaled A. Harras,

Moustafa YoussefAuthors Info & Claims

WiNTECH '14: Proceedings of the 9th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization

Pages 25 - 32

https://doi.org/10.1145/2643230.2643234

Published: 07 September 2014 Publication History

Abstract

Spectrum regulators consider geo-location databases as the most reliable source of spectrum information for White Space Devices (WSDs). Geo-location databases protect TV band incumbents by keeping track of TV transmitters, and their protected service areas based on their location, transmission parameters, and sophisticated propagation models. However, propagation models inaccuracies can cause an overestimation of the protected area of TV transmitters leading to the inefficient usage of white spaces. In this paper, we present a large scale study, spanning an area of around 3000 km^2 over a driving path of around 190 km, showing that one of the most accurate propagation models, the Irregular Terrain Model (IMT), overestimates the signal power by up to 97% of the time. Based on this study, we provide a characterization of spectrum sensory readings that can be used to amend the prediction of propagation models. This characterization allows spectrum sensors to detect the absence of white spaces with a fairly high threshold of -84 dbm, which enables low cost and accurate spectrum sensing. Furthermore, we present the initial design of SPOC, a system that combines spectrum sensing and propagation modeling in order to better detect white spaces.

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Cited By

Wang XUmehira MHan BJi Y(2020)Incentive Mechanism for Crowdsourcing-Based Spectrum MeasurementEncyclopedia of Wireless Networks10.1007/978-3-319-78262-1_213(589-595)Online publication date: 22-Aug-2020
https://doi.org/10.1007/978-3-319-78262-1_213
Haniz ATran GSakaguchi KTakada JYamaguchi TMitsui TArata S(2019)Construction and Interpolation of a Multi-frequency Radio Map2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)10.1109/ICREST.2019.8644474(632-637)Online publication date: Jan-2019
https://doi.org/10.1109/ICREST.2019.8644474
Wang XUmehira MHan BLi PGu YWu C(2019)Online Incentive Mechanism for Crowdsourced Radio Environment Map ConstructionICC 2019 - 2019 IEEE International Conference on Communications (ICC)10.1109/ICC.2019.8761268(1-6)Online publication date: May-2019
https://doi.org/10.1109/ICC.2019.8761268
Show More Cited By

Index Terms

Towards a characterization of white spaces databases errors: an empirical study
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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cover image ACM Conferences

WiNTECH '14: Proceedings of the 9th ACM international workshop on Wireless network testbeds, experimental evaluation and characterization

September 2014

102 pages

ISBN:9781450330725

DOI:10.1145/2643230

Program Chairs:
Kyle Jamieson
University College London
,
Tommaso Melodia
University at Buffalo, The State University of New York

Copyright © 2014 ACM.

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Published: 07 September 2014

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MobiCom'14: The 20th Annual International Conference on Mobile Computing and Networking

September 7, 2014

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WiNTECH '14 Paper Acceptance Rate 10 of 12 submissions, 83%;

Overall Acceptance Rate 63 of 100 submissions, 63%

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Cited By

Wang XUmehira MHan BJi Y(2020)Incentive Mechanism for Crowdsourcing-Based Spectrum MeasurementEncyclopedia of Wireless Networks10.1007/978-3-319-78262-1_213(589-595)Online publication date: 22-Aug-2020
https://doi.org/10.1007/978-3-319-78262-1_213
Haniz ATran GSakaguchi KTakada JYamaguchi TMitsui TArata S(2019)Construction and Interpolation of a Multi-frequency Radio Map2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)10.1109/ICREST.2019.8644474(632-637)Online publication date: Jan-2019
https://doi.org/10.1109/ICREST.2019.8644474
Wang XUmehira MHan BLi PGu YWu C(2019)Online Incentive Mechanism for Crowdsourced Radio Environment Map ConstructionICC 2019 - 2019 IEEE International Conference on Communications (ICC)10.1109/ICC.2019.8761268(1-6)Online publication date: May-2019
https://doi.org/10.1109/ICC.2019.8761268
Hu YZhang R(2017)Secure crowdsourced radio environment map construction2017 IEEE 25th International Conference on Network Protocols (ICNP)10.1109/ICNP.2017.8117556(1-10)Online publication date: Oct-2017
https://doi.org/10.1109/ICNP.2017.8117556
Saeed AHarras KZegura EAmmar M(2017)Local and Low-Cost White Space Detection2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.292(503-516)Online publication date: Jun-2017
https://doi.org/10.1109/ICDCS.2017.292
Wang XUmehira MLi PGu YJi Y(2017)Fine-Grained Incentive Mechanism for Sensing Augmented Spectrum DatabaseGLOBECOM 2017 - 2017 IEEE Global Communications Conference10.1109/GLOCOM.2017.8254447(1-6)Online publication date: 4-Dec-2017
https://dl.acm.org/doi/10.1109/GLOCOM.2017.8254447
Saeed AIbrahim MHarras KYoussef M(2015)Toward dynamic real-time geo-location databases for TV white spacesIEEE Network: The Magazine of Global Internetworking10.1109/MNET.2015.729330929:5(76-82)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1109/MNET.2015.7293309
Chakraborty ADas SSeneviratne ADiot CKurose JChaintreau ARizzo L(2014)Measurement-Augmented Spectrum Databases for White Space SpectrumProceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies10.1145/2674005.2675001(67-74)Online publication date: 2-Dec-2014
https://dl.acm.org/doi/10.1145/2674005.2675001

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