Reliability Assessment of GSM Power System Network

Description

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Abstract

This work presents the reliability assessment of the Power sub-system of the North West Region of Airtel network for a period of one year.

The Power model was found to be an integrated setup of major Power subcomponents such as transformer, automatic voltage regulator, generators, rectifier system, battery bank,  and  Power control systems such as  automatic  transfer switch and automatic main failure.

The impact of critical power failure event at different hierarchical stations on the subscribers was also assessed. The reliability data for power sub-system was collected to determine the reliability indices of the power equipment. The data were analysed using the MATLAB version 7.4 software.

The two-generator system at the integrated switch sites, integrated hub sites, terminal end sites and independent of PHCN power supply on the network exhibited relatively high reliability with fault tolerance by the prevalence of duty cycle availability indices of 51.83%, 56.00% and 56.5% respectively.

Introduction

Since the advent of global system for mobile communication (GSM) in Nigeria in 2001, the telecommunication industry has been experiencing unprecedented expansion in the number of subscribers.

However, this increase in the use of GSM network have put enormous pressure on the network operators to ensure reliability and quality of service desired by the customers, but the reality on ground is that many of the network operators have not achieved the desired results [1, 2].

Reliability and quality of service can be affected by either traffic congestion or network failure due to equipment malfunction.

Many studies have been carried out to ascertain the performance of GSM operators in Nigeria based on the size of traffic carried by the network operator and the causes of congestion in the network [3].

However, much attention has not been devoted in the past to network failure due to power outages caused by equipment failures. These outages affect the reliability and quality of service rendered by the network operator.

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