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), 2014. Published by Science Publishing Group |
Optimization, Signal Attenuation, Receive Signal Code power, User Equipment (UE), Speech Quality Index, UE Transmit Power, Active Set Number of Members
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[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 |
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
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
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
@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} }
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 -