NDLI: Determination of voice traffic busy hour and traffic forecasting in Global System of Mobile Communication (GSM) in Nigeria

Content Provider	IEEE Xplore Digital Library
Author	Oladeji, E.O. Onwuka, E.N. Aibinu, M.A.
Copyright Year	2013
Description	Author affiliation: Dept. of Commun. Eng., Fed. Univ. of Technol., Minna, Nigeria (Oladeji, E.O.; Onwuka, E.N.; Aibinu, M.A.)
Abstract	The Global System for Mobile Communications (GSM) is a major telecommunications system in Nigeria. Therefore, millions of Nigerians are relying on it for daily businesses and living. It is a common knowledge that GSM has not satisfied the user-perceived Quality of Service (QoS) in Nigeria. One of the ways to solve this is to understand the traffic pattern in Nigeria. In this work, we establish the traffic pattern over 24 hours in Nigeria for a period of 5 months, determine the busy hour and also develop a model for traffic forecasting, using an operator switch in the north-central part of Nigeria with 6 Base Station Controllers (BSC). The BSCs are named BSC A-BSC F. The busy hour of a system is the time when the system processes the highest traffic in a day. Busy hour measurements are used to determine how robust a system is. Hence in GSM, the measurements taken at busy hour are used for proper equipment dimensioning. The data used in this paper was obtained from Network Management System (NMS) counter for a period of 5 months. The obtained data was analysed using Artificial Neural Network (ANN). The busy hour was observed to be 20:00 on five of the BSCs studied and 14:00 on one.
Sponsorship	IEEE Malaysia ComSoc/VTS Joint Chapt.
Starting Page	184
Ending Page	189
File Size	241515
Page Count	6
File Format	PDF
ISBN	9781479915323
DOI	10.1109/MICC.2013.6805822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-26
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GSM Base Station Controller (BSC) Network Management System (NMS) Quality of service Artificial neural networks Predictive models Mobile communication Mathematical model Forecasting
Content Type	Text
Resource Type	Article

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