Determination of Busy Hour in Mobile Communication in Nigeria

Table of contents

1. INTRODUCTION

ecent time, the world has witnessed different standards of mobile communication network, ranging from second generation (2G) to third generation (3G) standards. What gave room to this change is human quest to have better coverage quality, Grade of Service (GOS) and capacity (Gunner, 1998).

Despite all these evolution from one stage to another, mobile communication subscribers, still have some difficulties when making calls or initiating calls during some particular period of time. For us to determine the performance of the mobile communication, the grade of service must be determined, firstly the peak busy hour must also be determine, the peak busy hour it is the given period within a day that bears the highest traffic intensity. The 'peak busy hour' traffic is use to determine the equipment quantities of the network. The reason to use busy hour traffic is that this period usually has the highest amount of blocked or lost calls. If the dimensioning of equipment at this period is correct and blocked calls can be minimized, all other non-busy hour traffic should then be handled satisfactorily (Sanjay;2010).

The operation and maintenance centre (OMC), the OMC-counter is in-built inside the mobile communication system. These OMC-counter is used to measure the traffic variation on the traffic interfaces.

The operation and maintenance centre is subdivided into three. They are;

? Fault management

? Configuration management ? Performance management

The performance management unit is responsible for monitoring the performance of all the event (activities). Example are, calls intensity, time duration per call and time duration per hour. Etc. the traffic activities is being handled by sub-section known as (PMR) performance management traffic recording unit (John;.

2. II. EXPERIMENTAL PROCEDURE

To determine the peak busy hour of traffic saturation in mobile communication network in Nigeria, we can measure traffic by three different methods, they are;

? Driving test ? Protocol analyzer ? OMC-counter (Operational and Maintenance Centre-Counter) (Gunner, 1998).

In this experiment we deployed the use of the OMC-counter for measurement, which is in-built in mobile communication network, measurement have shown, that traffic is characterized by two major components they are;

?

3. DATA PRESENTATION

The data obtained from operation and maintenance centre was presented in the following table below:

4. RESULT ANALYSIS

The graphics below shows different peak busy hour of call intensity for various routes and six areas in Lagos State from a leading Mobile Communication Network in Nigeria. Data obtained was simulated by Excel package to obtain a resultant graphics.

The highest call intensity was also determined for days of the week. From table 1.2 the resultant output shows that Monday has the highest call intensity, followed by Friday, Tuesday, Wednesday, Thursday, Saturday and Sunday. Shown in figure 2.7. For easy comparison the bar chart was used for different days of the week. V.

5. DISCUSSION

The data obtained are represented in graphys for easy interpretation for various routes in fig. 2

6. CONCLUSION

From this thesis, the data was obtained from operation and maintenance centre (OMC-Counter). The data obtained was analyzed by Excel package. It was observed that there are two active busy hour, they are 10:00 hr and 19:00 hr. graphical representation of all the routes was shown in fig. 2 The call intensity for various days of the week was examined. Monday with the highest call intensity 27,567, followed by Friday, Tuesday, Wednesday, Thursday, Saturday and Sunday, shown in figure 2.7.

7. Calls Intensity

Series1

Figure 1.
Stochastic component ? Random generation of calls by subscribers (man) ? Deterministic component (machine) ? Structure (hardware) ? Operational strategy (software) (ITU-D, 2006). Data was obtained from the above mentioned technique for a duration of one-year from the experiment, it was show that traffic has two types of variation associated with the stochastic component. They are; 1. Number of calls variation 2. Services times variation This variation are the parameters used to determine the peak busy hour (Moltchanor, 2005). III.
Figure 2. Table 1 .
1
S/NO AREA ROUTE PEAK BUSY ATTEMPT
ID HOUR CALLS
1. MUSHIN BSC 0-10 19:00 1092
BSC 1-10 19:00 818
BSC 2-10 19:00 1511
2. IKOTUN BSC 0-10 20:00 858
BSC 1-10 19:00 1218
BSC 2-10 19:00 1915
3. EJIGBO BSC 0-10 20:00 672
BSC 1-10 19:00 1083
BSC 2-10 19:00 838
4. APAPA BSC 0-10 19:00 806
BSC 1-10 15:00 1345
BSC 2-10 11:00 666
5. ALABA BSC 0-10 20:00 247
BSC 1-10 19:00 1071
BSC 2-10 19:00 1337
6. OYINGBO BSC 0-10 19:00 1185
BSC 1-10 19:00 847
BSC 2-10 19:00 722
The above table have, different areas such are
Mushin, Apapa, Alaba, Oyingbo, Ejigbo and Ikotun was
consider in this research work due to their population
intensity in Lagos.
Each area have a routes incorporated into 3
Base Station Controller (BSC). While 3 routes were
consider under one base station controller (IBSC). The
attempts calls for 24 hours, in each route are also
recorded.
Figure 3. Table 1 .
1
S/No Call Intensity Days of the Week
1. Sunday 12,119
2. Monday 26,492
3. Tuesday 19,080
4. Wednesday 17,892
5. Thursday 16,467
6. Friday 23,138
7. Saturday 15,491
IV.
Figure 4.
VI.
Figure 5.
2
4

Appendix A

  1. Traffic modeling. D Moltchanov . http://www.computer.org/portal/web/journal/IEEE Traffic Analysis for GSM Network 2005.
  2. GSM Network" 1 st Edition Artech House Boston, H Gunner . 1998. p. .
  3. Teletraffic Engineering, Itu-D . http://www.itu.int 2006. p. .
  4. Introduction to 3G Mobile Communication, 2 nd edition Artech House, K Juha . www.artechouse.com 2003. Boston, London. p. .
  5. Computer networks. S Sanjay . S.K. Kataria & Sons 2010. p. . (1 st edition)
  6. Wireless communications principles and practice, 2 nd Edition, S T Rappaport . 2003. New Delhi: Prentice, Hall of India Private Limited. p. .
  7. Pocket Guild to the world of E1' wavetek wandel Goltermann Eurotech House pp, T John . 2005. p. .
Notes
2.
Determination of Busy Hour in Mobile Communication in Nigeria©2011 Global Journals Inc. (US)
4.
Determination of Busy Hour in Mobile Communication in Nigeria©2011 Global Journals Inc. (US)
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Date: 2011-04 2011-03-13