Quality of Service Reliability: A Study of Received Signal Quality in GSM Networks
Asian Journal of Physical and Chemical Sciences,
Page 25-34
DOI:
10.9734/ajopacs/2022/v10i3183
Abstract
Every radio frequency (RF) design, after its implantation, should be regularly evaluated. The kernel of this article is to evaluate the performance of four GSM networks, taking its received signal quality (RxQual) into consideration. A total of 10501, 10140, 10415 and 10690 RxQual measurements were obtained for MTN, 9mobile, Airtel and Globacom network. These generated data were subjected to statistical analysis in the form of bar charts, quality plots and calculations of measures of central tendency and dispersion. Result shows that 78.43%, 92.18%, 90.68% and 86.93% of the drive test route for MTN, 9mobile, Airtel and Globacom network had good signal quality and met with the Nigerian telecommunication regulatory benchmark of at least 4dB for RxQual. It is therefore deduced that in terms of RxQual, 9mobile was the best GSM network, followed by Airtel network, Globacom network and then MTN network. The result provided in this article will help mobile network operators to improve signal quality, ensure improved network coverage and increase network capacity in the future.
Keywords:
- Interference
- received signal quality
- GSM network
- wireless networks
- bit error rate
How to Cite
Iloke, J., Ekah, U. J., Oduobuk, E. J., Ewona, I., & Obi, E. (2022). Quality of Service Reliability: A Study of Received Signal Quality in GSM Networks. Asian Journal of Physical and Chemical Sciences, 10(3), 25-34. https://doi.org/10.9734/ajopacs/2022/v10i3183
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Hu H, Liu Y, Ge Y, Wei N, Xiong K. Multi-Cell Uplink Interference Management: A Distributed Power Control Method. ZTE Communications. 2022;20(S1):56-63.
Bakare BI, Abayeh OJ, Orike S. Application of Frequency Reuse Technique for the Management of Interference in Cellular Network in Port Harcourt. American Journal of Engineering Research. 2022;11(1):16-24.
Ekah UJ, Iloke J, Obi E, Ewona I. Measurement and Performance Analysis of Signal-to-Interference Ratio in Wireless Networks. Asian Journal of Advanced Research and Reports. 2022; 16(3): 22-31.
Kasegenya A, Sam A. Analysis of Quality of Service for WCDMA Network in Mwanza, Tanzania. Journal of Information Engineering and Applications. 2015; 5(9):18-26.
Alhassan H, Abdulhamid R, Danbatta UG, Digwu C, Abdullah A, Al-Sadoon MAG, Ngala MJ. Improvement of Indoor Receive Signal Code Power (RSCP) and Signal-to-Interference Ratio (Ec/Io) and QoS Evaluation in Operational 3G Network using Distributed Antenna System (DAS). International Conference on Broadband Communications, Networks and systems. 2019;263:466-472.
Abdulkareem HA, Tekanyi AMS, Adamu H, Abdu-Aguye UF, Almustapha MD, Abdullahi ZM, Kassim AY, Muhammad ZZ, Musa IK. Evaluation of a GSM network quality of service using handover success rate as performance matrices. Zaria Journal of Electrical Engineering Technology. 2020;9(2):63-72.
Galadanci GSM, Abdullahi SB. Performance analysis of GSM networks in Kano metropolis of Nigeria. American Journal of Engineering Research. 2018; 7(5):69-79.
Ekah UJ, Iloke J. Performance Evaluation of Key Performance Indicators for UMTS Networks in Calabar, Nigeria. GSC Advanced Research and Reviews. 2022;10(1):47-52.
Ajayi OT, Onidare SO, Ayeni AA, Adebowale QR, Yusuf SO, Ogundele A. Performance Evaluation of GSM and WCDMA Networks: A Case Study of the University of Ilorin. International Journal on Electrical Engineering and Informatics. 2021;13(1):87-106.
Yuwono T, Ferdiyanto F. RF Measurement and Analysis of 2G GSM Network Performance Case Study: Yogyakarta Indonesia. 2015 IEEE 3rd International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA). 2015;1-5.
Mkheimer B, Jamoos A. Evaluation and optimisation of GSM network in Jenien City, Palestine. International Journal of Mobile Network Design and Innovation. 2012;4(4):201-213.
Sireesha BV, Varadarajan S, Vivek, Naresh. Increasing of Call Success Rate in GSM Service Area using RF Optimization. International Journal of Engineering Research and Applications. 2011;1(4): 1479-1485.
Kumar VSP, Anuradha B, Vivek, Naresh. Improvement of Key Performance Indicators and QoS Evaluation in Operational GSM Network. International Journal of Engineering Research and Applications. 2011;1(3):411-417.
Lan L, Gou X, Mao J, Ke W. GSM co-channel and adjacent channel interference analysis and optimization. Tsinghua Science and Technology. 2011;16(6):583-588.
Ettah E, Ushie P, Ekah U, Eze B. The Spatio-Temporal Distribution of Noise Island within the Campus of Cross River University of Technology, Calabar, Nigeria. Journal of Scientific and Engineering Research. 2021;8(6):1-7.
Emeruwa C, Ekah UJ. Improved Algorithm of Equation Error Model of Active Noise Control. Journal of Multidisciplinary Engineering Science and Technology. 2022;9(1):15067-15072.
Ekah UJ, Onuu MU. Tropospheric Influence on Call Setup in Mobile Networks. Journal of Engineering Research and Reports. 2022;22(2):14-26.
Ekah BJ, Iloke J, Ekah UJ. Tropospheric Influence on Dropped Calls. Global Journal of Engineering and Technology Advances. 2022;10(2):83-93.
Obi E, Ekah U, Ewona I. Real-time assessment of cellular network signal strengths in Calabar. International Journal of Engineering Sciences & Research Technology. 2021;10(7): 47-57.
Emeruwa C, Ekah UJ. Pathloss model evaluation for long term evolution in Owerri. International Journal of Innovative Science and Research Technology. 2018;3(11):491-496.
Emeruwa C, Ekah UJ. Investigation of the variability of signal strength of wireless services in Umuahia, Eastern Nigeria. IOSR Journal of applied physics. 2018;10(3):1-17.
Ekah UJ, Emeruwa C. Guaging of key performance indicators for 2G mobile networks in Calabar, Nigeria. World Journal of Advanced Research and Reviews. 2021;12(2):157-163.
Ekah UJ, Adeniran AO, Shogo OE. Spatial Distribution of Frequency Modulated Signals in Uyo, Nigeria. World Journal of Advanced Engineering Technology and Sciences. 2022;5(1):39-46.
Ewona I, Ekah U. Influence of Tropospheric Variables on Signal Strengths of Mobile Networks in Calabar, Nigeria. Journal of Scientific and Engineering Research. 2021;8(9):137-145.
Iloke J, Utoda R, Ekah U. Evaluation of Radio Wave Propagation through Foliage in Parts of Calabar, Nigeria. International Journal of Scientific & Engineering Research. 2018;9(11):244-249.
Ekah UJ, Emeruwa C. A comparative assessment of GSM and UMTS Networks. World Journal of Advanced Research and Reviews. 2022;13(1):187-196.
Ajayi OT, Onidare SO, Tiamiyu OA, Ayeni AA. Interference Mitigation and Control Mechanisms in Cellular Networks. An International Journal of Biological and Physical Sciences. 2019;24:1-12.
Gilev IV, Kanavin SV. Modeling the destructive effect of interference on mobile networks, using the 3G standard as an example, using a noise generator. 1st international conference on control systems, Mathematical modelling, automation and energy efficiency (SUMMA). 2019:407-410.
Soultan EM, Nafea HB, Zaki FW. Interference Management for 5G cellular network constructions. Wireless Personal Communications. 2021;116(3): 2465-2484.
Ye J, Dang S, Shihada B, Alouini M. Modeling co-channel interference in the THz band. IEEE Transactions on Vehicular Technology. 2021;70(7): 6319-6334.
Hashima S, Shalaby H, Elnoubi S, Alghoniemy M, Muta O, Furukawa H. Performance Analysis of uplink Fractional Frequency Reuse using worst case Signal to Interference Ratio. Science and Information Conference. 2013;839-844.
Hu H, Liu Y, Ge Y, Wei N, Xiong K. Multi-Cell Uplink Interference Management: A Distributed Power Control Method. ZTE Communications. 2022;20(S1):56-63.
Bakare BI, Abayeh OJ, Orike S. Application of Frequency Reuse Technique for the Management of Interference in Cellular Network in Port Harcourt. American Journal of Engineering Research. 2022;11(1):16-24.
Ekah UJ, Iloke J, Obi E, Ewona I. Measurement and Performance Analysis of Signal-to-Interference Ratio in Wireless Networks. Asian Journal of Advanced Research and Reports. 2022; 16(3): 22-31.
Kasegenya A, Sam A. Analysis of Quality of Service for WCDMA Network in Mwanza, Tanzania. Journal of Information Engineering and Applications. 2015; 5(9):18-26.
Alhassan H, Abdulhamid R, Danbatta UG, Digwu C, Abdullah A, Al-Sadoon MAG, Ngala MJ. Improvement of Indoor Receive Signal Code Power (RSCP) and Signal-to-Interference Ratio (Ec/Io) and QoS Evaluation in Operational 3G Network using Distributed Antenna System (DAS). International Conference on Broadband Communications, Networks and systems. 2019;263:466-472.
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