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Reseach Article

Automate Minimization of Drive Tests for QoE Provisioning: The Case of Coverage Mapping

by Vassilis Dalakas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 8
Year of Publication: 2015
Authors: Vassilis Dalakas
10.5120/ijca2015906123

Vassilis Dalakas . Automate Minimization of Drive Tests for QoE Provisioning: The Case of Coverage Mapping. International Journal of Computer Applications. 126, 8 ( September 2015), 1-6. DOI=10.5120/ijca2015906123

@article{ 10.5120/ijca2015906123,
author = { Vassilis Dalakas },
title = { Automate Minimization of Drive Tests for QoE Provisioning: The Case of Coverage Mapping },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 8 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number8/22569-2015906123/ },
doi = { 10.5120/ijca2015906123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:16:53.541246+05:30
%A Vassilis Dalakas
%T Automate Minimization of Drive Tests for QoE Provisioning: The Case of Coverage Mapping
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 8
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The concept of Minimization of Drive Tests (MDT) has been developed in Third Generation Partnership Project (3GPP) specifications standard. With MDT, Mobile Network Operators (MNOs) were enabled to remotely collect measurements indicating the network Quality of Service (QoS), as experienced by their users, correlated with actual location information. This results in wider application of use cases that allows network monitoring and optimization, without the need for conventional drive tests. To facilitate access to distributed geospatial data through a set of policies, common rules, and standards that would improve interoperability, this paper, proposes an open architecture, in compliance with the Open Geospatial Consortium (OGC) web services and the MDT architectures, enabling the automation of the MDT use cases and real-time service management.

References
  1. 3GPP, 3rd Generation Partnership Project. Evolved Universal Terrestrial Radio Access (E-UTRA); Study on Minimization of Drive-Tests in Next Generation Networks, 3GPP Standard. Technical Report TS 36.805 v.9.0.0, December 2009.
  2. 3GPP, 3rd Generation Partnership Project. Universal Terrestrial Radio Access (UTRA) and Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Measurement Collection for Minimization of Drive Tests (MDT); Overall Description; Stage 2, 3GPP Standard. Technical Report TS 37.320 v.11.1.0, September 2012.
  3. J. Arpee, S. Gutowski, and M. Touati. Apparatus and method for geostatistical analysis of wireless signal propagation, Mars 2004. US Patent 6,711,404.
  4. Sascha Berger, Albrecht J. Fehske, Paolo Zanier, Ingo Viering, and Gerhard Fettweis. On the advantages of location resolved input data for throughput optimization algorithms in self-organizing wireless networks. In GLOBECOM Workshops, pages 288–292, 2013.
  5. Federico Castanedo. A review of data fusion techniques. The Scientific World Journal, 2013(Article ID 704504):1–19, 2013.
  6. Fedor Chernogorov and Jani Puttonen. User satisfaction classification for minimization of drive tests QoS verification. In Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on, pages 2165–2169, September 2013.
  7. A Faggiani, E. Gregori, L. Lenzini, V. Luconi, and A Vecchio. Smartphone-based crowdsourcing for network monitoring: Opportunities, challenges, and a case study. Communications Magazine, IEEE, 52(1):106–113, January 2014.
  8. A Galindo-Serrano, B. Sayrac, S. Ben Jemaa, J. Riihijarvi, and P. Mahonen. Automated coverage hole detection for cellular networks using radio environment maps. In Modeling Optimization in Mobile, Ad Hoc Wireless Networks (WiOpt), 2013 11th International Symposium on, pages 35–40, May 2013.
  9. A Galindo-Serrano, B. Sayrac, S. Ben Jemaa, J. Riihijarvi, and P. Mahonen. Harvesting MDT data: Radio environment maps for coverage analysis in cellular networks. In Cognitive Radio Oriented Wireless Networks (CROWNCOM), 2013 8th International Conference on, pages 37–42, July 2013.
  10. C Granell, L D´iaz, M Gould, V Pascual, J Guimet, P Carrara, and M Pepe. Developing geoprocessing services for a hydrological model application. In 27th EARSeL Symposium: Geoinformation in Europe, Bolzano, Italy, June 2007.
  11. D.L. Hall and J. Llinas. An introduction to multisensor data fusion. Proceedings of the IEEE, 85(1):6–23, Jan 1997.
  12. W.A Hapsari, A Umesh, M. Iwamura, M. Tomala, B. Gyula, and B. Sebire. Minimization of drive tests solution in 3GPP. Communications Magazine, IEEE, 50(6):28–36, June 2012.
  13. Mikael Jern and Johan Franze?n. Geoanalytics ? exploring spatio-temporal and multivariate data. In Proceedings of the Information Visualization (IV?06), 2006.
  14. J. Johansson, W.A Hapsari, S. Kelley, and G. Bodog. Minimization of drive tests in 3GPP release 11. Communications Magazine, IEEE, 50(11):36–43, November 2012.
  15. Amila Karunathilake, M. A. P. Chamikara, and Jagath Gunatilake. Web GIS to identify the problematic mobile signal clusters. International Journal of Computer Applications, 88(10):30–34, February 2014.
  16. S. Kolyaie, M. Yaghooti, and M. Gilda. Analysis and simulation of wireless signal propagation applying geostatistical interpolation techniques. Archives of Photogrammetry, Cartography and Remote Sensing, 22:261–270, 2011.
  17. Jin Li and A.D. Heap. A Review of Spatial Interpolation Methods for Environmental Scientists. Record (Australia. Geoscience Australia). Geoscience Australia, 2008.
  18. Georges Matheron. Principles of geostatistics. Economic Geology, 58(8):1246–1266, December 1963.
  19. J. Mitola. Cognitive radio: an integrated agent architecture for software defined radio. PhD thesis, Stockholm, Sweden, 2000.
  20. W. Muller and H. Schumann. Visualization methods for timedependent data. In Proceedings of the 2003 Winter Simulation Conference, pages 737–746, 2003.
  21. Nokia Siemens Networks et al. Rel-9 Self-Organizing Network (SON). In 3GPP TSG RAN#43 meeting, number Tdoc RP 090162, Biarritz, France, Mars 2009.
  22. OGC. Open Geospatial Consortium, 2014 (last accessed August 23, 2014).
  23. OGC. Open Geospatial Consortium Web Services, 2014 (last accessed August 23, 2014).
  24. C. Phillips, M. Ton, D. Sicker, and D. Grunwald. Practical radio environment mapping with geostatistics. In Dynamic Spectrum Access Networks (DYSPAN), 2012 IEEE International Symposium on, pages 422–433, October 2012.
  25. Youping Zhao, Bin Le, and Jeffrey H. Reed. Chapter 11 - network support: The radio environment map. In Bruce A. Fette, editor, Cognitive Radio Technology, pages 337 – 363. Newnes, Burlington, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Cellular radio coverage quality of experience quality of service