Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State

Akinyemi Lateef Adesola; Shoewu Oluwagbemiga Omotayo; Makanjuola Najeem Tunji; Ajasa Abiodun Afis; Folorunso Comfort Oluwaseyi; Raji Afis Omogbolahan

doi:doi:10.11648/j.ajnc.20140305.11

Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State

Akinyemi Lateef Adesola, Shoewu Oluwagbemiga Omotayo, Makanjuola Najeem Tunji, Ajasa Abiodun Afis, Folorunso Comfort Oluwaseyi, Raji Afis Omogbolahan

Published in American Journal of Networks and Communications (Volume 3, Issue 5)

Received: 14 June 2014 Accepted: 26 June 2014 Published: 30 October 2014

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Abstract

This paper presents the effects and optimization impact of wireless signal loss for subscribers in Lagos state, using 3G as a study. This paper is aimed at analyzing network coverage data obtained through drive testing on the investigated area to detect coverage holes or area with poor coverage. The collected data showed significantly where the problems were via pre drive test and analysis was performed to proffer solutions to identified problems. This was later confirmed with a post drive test. The Key Performance Indicators (KPI) which include Receive Signal Code Power(RSCP), Energy per chip to noise ratio(Ec/No), Speech Quality Index(SQI), User Equipment Transmit Power(UE Tx Power), Active Set number of members were analyzed and showed significant improvement after optimization where necessary. The RSCP coverage quality showed an appreciable improvement from 40% to over 76% of good coverage after optimization. Results after the optimization reveals that the Call Setup Success Rate increased from about 96% to about 98% and the Call Drop Rate reduced from 0.664% to 0.62 % out of 940 and 493 total number of calls attempts made during the pre and post drive test respectively. Besides, areas with more than three active set which could result into pilot pollution were identified and corrected by adjusting of the parameter (tilt) of the antenna involved.

Published in	American Journal of Networks and Communications (Volume 3, Issue 5)
DOI	10.11648/j.ajnc.20140305.11
Page(s)	63-72
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Optimization, Signal Attenuation, Receive Signal Code power, User Equipment (UE), Speech Quality Index, UE Transmit Power, Active Set Number of Members

References

[1]	Ajay R. Mishra “Fundamental of Cellular Network planning and Optimization”2G/2.5G/3GEvolution_to 4G John Wiley and Sons Ltd.
[2]	Dr. Abhijit Mitra; Department of Electronics and Communication Engineering, Indian Institute of Technology, India, November, 2009
[3]	Guide to mobile Networks. telcoantennas.com.au/site‎
[4]	Harri Holma and Antti Toskala, WCDMA for UMTS, Radio Access for Third Generation Mobile Communication, 2004
[5]	Iana Siomina; Linkoping Studies in Science and TechnologyRadio Network Planning and Resource Optimization: Mathematical Models and Algorithms for UMTS, WLANs, and Ad Hoc Networks,2007
[6]	Sapna Shukla (et al), “Comparative Study of 1G, 2G, 3G and 4G”, Journal of Engineering, Computers & Applied Sciences, April 2013
[7]	Somer Goksel; Optimization and Log File Analysis in Gsm, January, 2003.
[8]	Tems Investigation release notes, ascom, www.ascom.com/networktesting, 2011.
[9]	http://en.wikipedia.org/wiki/Drive_testing

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APA Style

Akinyemi Lateef Adesola, Shoewu Oluwagbemiga Omotayo, Makanjuola Najeem Tunji, Ajasa Abiodun Afis, Folorunso Comfort Oluwaseyi, et al. (2014). Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. American Journal of Networks and Communications, 3(5), 63-72. https://doi.org/10.11648/j.ajnc.20140305.11

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ACS Style

Akinyemi Lateef Adesola; Shoewu Oluwagbemiga Omotayo; Makanjuola Najeem Tunji; Ajasa Abiodun Afis; Folorunso Comfort Oluwaseyi, et al. Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. Am. J. Netw. Commun. 2014, 3(5), 63-72. doi: 10.11648/j.ajnc.20140305.11

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AMA Style

Akinyemi Lateef Adesola, Shoewu Oluwagbemiga Omotayo, Makanjuola Najeem Tunji, Ajasa Abiodun Afis, Folorunso Comfort Oluwaseyi, et al. Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. Am J Netw Commun. 2014;3(5):63-72. doi: 10.11648/j.ajnc.20140305.11

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@article{10.11648/j.ajnc.20140305.11,
  author = {Akinyemi Lateef Adesola and Shoewu Oluwagbemiga Omotayo and Makanjuola Najeem Tunji and Ajasa Abiodun Afis and Folorunso Comfort Oluwaseyi and Raji Afis Omogbolahan},
  title = {Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State},
  journal = {American Journal of Networks and Communications},
  volume = {3},
  number = {5},
  pages = {63-72},
  doi = {10.11648/j.ajnc.20140305.11},
  url = {https://doi.org/10.11648/j.ajnc.20140305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20140305.11},
  abstract = {This paper presents the effects and optimization impact of wireless signal loss for subscribers in Lagos state, using 3G as a study. This paper is aimed at analyzing network coverage data obtained through drive testing on the investigated area to detect coverage holes or area with poor coverage. The collected data showed significantly where the problems were via pre drive test and analysis was performed to proffer solutions to identified problems. This was later confirmed with a post drive test. The Key Performance Indicators (KPI)  which include Receive Signal Code Power(RSCP), Energy per chip to noise ratio(Ec/No), Speech Quality Index(SQI), User Equipment Transmit Power(UE Tx Power), Active Set number of members were analyzed and showed significant improvement after optimization where necessary. The RSCP coverage quality showed an appreciable improvement from 40% to over 76% of good coverage after optimization. Results after the optimization reveals that the Call Setup Success Rate increased from about 96% to about 98% and the Call Drop Rate reduced from 0.664% to 0.62 % out of 940 and 493 total number of calls attempts made during the pre and post drive test respectively. Besides, areas with more than three active set which could result into pilot pollution were identified and corrected by adjusting of the parameter (tilt) of the antenna involved.},
 year = {2014}
}

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TY  - JOUR
T1  - Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State
AU  - Akinyemi Lateef Adesola
AU  - Shoewu Oluwagbemiga Omotayo
AU  - Makanjuola Najeem Tunji
AU  - Ajasa Abiodun Afis
AU  - Folorunso Comfort Oluwaseyi
AU  - Raji Afis Omogbolahan
Y1  - 2014/10/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajnc.20140305.11
DO  - 10.11648/j.ajnc.20140305.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 63
EP  - 72
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20140305.11
AB  - This paper presents the effects and optimization impact of wireless signal loss for subscribers in Lagos state, using 3G as a study. This paper is aimed at analyzing network coverage data obtained through drive testing on the investigated area to detect coverage holes or area with poor coverage. The collected data showed significantly where the problems were via pre drive test and analysis was performed to proffer solutions to identified problems. This was later confirmed with a post drive test. The Key Performance Indicators (KPI)  which include Receive Signal Code Power(RSCP), Energy per chip to noise ratio(Ec/No), Speech Quality Index(SQI), User Equipment Transmit Power(UE Tx Power), Active Set number of members were analyzed and showed significant improvement after optimization where necessary. The RSCP coverage quality showed an appreciable improvement from 40% to over 76% of good coverage after optimization. Results after the optimization reveals that the Call Setup Success Rate increased from about 96% to about 98% and the Call Drop Rate reduced from 0.664% to 0.62 % out of 940 and 493 total number of calls attempts made during the pre and post drive test respectively. Besides, areas with more than three active set which could result into pilot pollution were identified and corrected by adjusting of the parameter (tilt) of the antenna involved.
VL  - 3
IS  - 5
ER  -

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Author Information

Akinyemi Lateef Adesola

Department of Electrical Engineering, Faculty of Engineering and the Built environment, University of Cape Town, Western Cape, South Africa; Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria
Shoewu Oluwagbemiga Omotayo

Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria
Makanjuola Najeem Tunji

Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria
Ajasa Abiodun Afis

Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria
Folorunso Comfort Oluwaseyi

Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria
Raji Afis Omogbolahan

Department of Electronic and Computer Engineering, Lagos State University, Epe Campus, Epe, Lagos, Nigeria

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APA Style

Akinyemi Lateef Adesola, Shoewu Oluwagbemiga Omotayo, Makanjuola Najeem Tunji, Ajasa Abiodun Afis, Folorunso Comfort Oluwaseyi, et al. (2014). Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. American Journal of Networks and Communications, 3(5), 63-72. https://doi.org/10.11648/j.ajnc.20140305.11

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ACS Style

Akinyemi Lateef Adesola; Shoewu Oluwagbemiga Omotayo; Makanjuola Najeem Tunji; Ajasa Abiodun Afis; Folorunso Comfort Oluwaseyi, et al. Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. Am. J. Netw. Commun. 2014, 3(5), 63-72. doi: 10.11648/j.ajnc.20140305.11

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AMA Style

Akinyemi Lateef Adesola, Shoewu Oluwagbemiga Omotayo, Makanjuola Najeem Tunji, Ajasa Abiodun Afis, Folorunso Comfort Oluwaseyi, et al. Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State. Am J Netw Commun. 2014;3(5):63-72. doi: 10.11648/j.ajnc.20140305.11

Copy | Download

@article{10.11648/j.ajnc.20140305.11,
  author = {Akinyemi Lateef Adesola and Shoewu Oluwagbemiga Omotayo and Makanjuola Najeem Tunji and Ajasa Abiodun Afis and Folorunso Comfort Oluwaseyi and Raji Afis Omogbolahan},
  title = {Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State},
  journal = {American Journal of Networks and Communications},
  volume = {3},
  number = {5},
  pages = {63-72},
  doi = {10.11648/j.ajnc.20140305.11},
  url = {https://doi.org/10.11648/j.ajnc.20140305.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20140305.11},
  abstract = {This paper presents the effects and optimization impact of wireless signal loss for subscribers in Lagos state, using 3G as a study. This paper is aimed at analyzing network coverage data obtained through drive testing on the investigated area to detect coverage holes or area with poor coverage. The collected data showed significantly where the problems were via pre drive test and analysis was performed to proffer solutions to identified problems. This was later confirmed with a post drive test. The Key Performance Indicators (KPI)  which include Receive Signal Code Power(RSCP), Energy per chip to noise ratio(Ec/No), Speech Quality Index(SQI), User Equipment Transmit Power(UE Tx Power), Active Set number of members were analyzed and showed significant improvement after optimization where necessary. The RSCP coverage quality showed an appreciable improvement from 40% to over 76% of good coverage after optimization. Results after the optimization reveals that the Call Setup Success Rate increased from about 96% to about 98% and the Call Drop Rate reduced from 0.664% to 0.62 % out of 940 and 493 total number of calls attempts made during the pre and post drive test respectively. Besides, areas with more than three active set which could result into pilot pollution were identified and corrected by adjusting of the parameter (tilt) of the antenna involved.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Effects and Optimization Impact of Wireless Signal Loss for Subscribers in Lagos State
AU  - Akinyemi Lateef Adesola
AU  - Shoewu Oluwagbemiga Omotayo
AU  - Makanjuola Najeem Tunji
AU  - Ajasa Abiodun Afis
AU  - Folorunso Comfort Oluwaseyi
AU  - Raji Afis Omogbolahan
Y1  - 2014/10/30
PY  - 2014
N1  - https://doi.org/10.11648/j.ajnc.20140305.11
DO  - 10.11648/j.ajnc.20140305.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 63
EP  - 72
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20140305.11
AB  - This paper presents the effects and optimization impact of wireless signal loss for subscribers in Lagos state, using 3G as a study. This paper is aimed at analyzing network coverage data obtained through drive testing on the investigated area to detect coverage holes or area with poor coverage. The collected data showed significantly where the problems were via pre drive test and analysis was performed to proffer solutions to identified problems. This was later confirmed with a post drive test. The Key Performance Indicators (KPI)  which include Receive Signal Code Power(RSCP), Energy per chip to noise ratio(Ec/No), Speech Quality Index(SQI), User Equipment Transmit Power(UE Tx Power), Active Set number of members were analyzed and showed significant improvement after optimization where necessary. The RSCP coverage quality showed an appreciable improvement from 40% to over 76% of good coverage after optimization. Results after the optimization reveals that the Call Setup Success Rate increased from about 96% to about 98% and the Call Drop Rate reduced from 0.664% to 0.62 % out of 940 and 493 total number of calls attempts made during the pre and post drive test respectively. Besides, areas with more than three active set which could result into pilot pollution were identified and corrected by adjusting of the parameter (tilt) of the antenna involved.
VL  - 3
IS  - 5
ER  -

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