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Improving Service Accessibility (CSSR) In GSM Network using an Intelligent Agent-Based Approach

Eli-Chukwu, Ngozi Clara, Onoh, Greg Nwachukwu,

Affiliations
Department of Electrical / Electronics & Computer Engineering Federal University Ndufu Alike, Ikwo, Ebonyi State, Nigeria. (FUNAI)
:10.22362/ijcert/2017/v4/i11/xxxx [UNDER PROCESS]


Abstract
The ability to access cellular network serves as the basis of any Key Performance Indicator to be measured. Accessing it allows subscribers to other features or value-added services rendered by the telecommunications operator. The inability to access telecommunication services continues to plunge the performance of the Global System for Mobile Communication network in Nigeria. Most often, when subscribers are denied access, it reduces the overall Call Success Rate (CSR). To this end, network samples were collected during drive test in Enugu State Nigeria, and GSM parameters that prompt blocked calls were extracted from the log-files using TEMS Discovery. The various causes of blocked calls that are software related and their respective solutions were embedded in an Artificial Intelligent system using a Case-Based Reasoning approach to avoid such blocked calls. The log-file was run with the AI system; the result shows that the system accessibility was improved by 5.23%


Citation
Eli-Chukwu, Ngozi Clara and Onoh, Greg Nwachukwu (2017). Improving Service Accessibility (CSSR) In GSM Network using an Intelligent Agent-Based Approach. International Journal of Computer Engineering In Research Trends, 4(11), 478-486. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I1104.pdf


Keywords : GSM, Network Accessibility, Network Quality, Artificial Intelligence, Case-Based Reasoning, Blocked call.

References
[1]. Rappaport, T.S. (2001) Wireless Communications: Principles and Practice, Prentice Hall, USA.
[2]. Mkheimer, Baha and Jamoos, Ali (2012),‟ Evaluation and optimisation of GSM network in Jensen City, Palestine‟ International Journal Mobile Network Design and Innovation, Vol.4, No. 4, pp. 201–213
[3]. Halonen T., Romero J., Melero J.: GSM, GPRS, and EDGE Performance. John Wiley & Sons Ltd, 2003.
[4]. Dahlman, E., Parkvall, S. and Skold, J. (2011) 4G: LTE/LTE-Advanced for Mobile Broadband, Academic Press, UK.
[5]. Mishra, A.R. (2004) Fundamentals of Cellular Network Planning and Optimization 2G/2.5G/3G... Evolution to 4G, Wiley & Sons, Ltd., England.
[6].Mishra, A.R. (2007) Advanced Cellular Networks Planning and Optimization2G/2.5G/3G & Evolution to 4G, Wiley & Sons, Ltd., England.
[7]. Guowang M., Jens Z., Ki Won Sung; Ben S, (2016). Fundamentals of Mobile Data Networks. Cambridge University Press.
[8]. Quality of Service Indicators: GSM Mobile Networks - Quality of Service Survey. Portugal: Autoridade Nacional de Comunicações. October 2002
[9]. Mohamamd R.T, Ali A (2013) Root cause analysis and new practical schemes for improving of SDCCH accessing in cellular networks, International Conference on Information Communication and Embedded Systems (ICICES).
[10]. Na Yao, (2007) A CBR Approach for Radiation Pattern Control in WCDMA Networks,
[11]. Chantaraskul S, (2007) An intelligent-agent approach for congestion management in 3G networks, Elsevier Ltd.


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DOI:10.22362/ijcert


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