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

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

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

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%

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

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

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