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International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
350 | P a g e
INVESTIGATION OF COVERAGE LEVEL AND
THE AVAILABILITY OF GSM SIGNAL IN
EKPOMA, NIGERIA
O. Omorogiuwa
Department of Electrical And Electronic Engineering
Ambrose Alli University, Ekpoma, Nigeria
owenseme@yahoo.com
ABSTRACT- This work presents the investigation of the
coverage level and the availability of GSM signal in Ekpoma, Edo
State, Nigeria. The RF Signal Tracker installed in four Tecno Y4
handsets equipped with four different sims of the available
network providers referred to as Net A, Net B, Net C and Net D
was used to measure the received signal strength at the various
test points for a period of one year. The data was analyzed to
determine the coverage level, the quality of service and the
availability of the different network signals in the investigated
environment. Forty- one test points within the service area were
selected to give a comprehensive representation of Ekpoma. The
investigation was carried out from May 2014 to April 2015. The
result when compared with the international acceptable standard
of RSSL (Received Signal Strength Level) revealed that Net B
offered a better level of coverage and quality of service compared
with Net A, Net C and Net D. It was also observed that Net A, Net
C and Net D experience more periods of no – signal (no –
network) and fluctuations of signals within the period of the
investigation. In order to ensure a better coverage and a better
quality of service, Net A, Net C and Net D need to increase the
number of their Base Stations.
KEYWORDS: Global system for mobile communication
(GSM), Base station, Mobile unit, Signal strength, Coverage level,
Signal tracker.
I. INTRODUCTION
The three basic mechanisms of radio propagation are
attributed to reflection, diffraction and scattering. All three of
these phenomenon cause radio signal distortions and give rise
to signal fades as well as additional signal propagation losses
[1]. When establishing any radio or wireless system, it is
necessary to consider the unique features of the propagation
environment and also to have good knowledge about the
parameters that give rise to signal loss. For accurate design,
coverage of modem cellular networks and signal strength
measurement will be considered as source of data, in order to
provide reliable and efficient coverage locality [2].
The coverage area is the total area covered by a radiated
signal from any global system for mobile communication
(GSM) network provider. In a cellular system, the
communication between the GSM radio station and the mobile
phone is bi-directional. However, the system is designed so
that if there is sufficient signal strength at the mobile phone
from the Base station, then there is also enough signals from
the mobile station to the base station [3,4]. A mobile phone is
said to be in coverage, if the signal at the mobile phone from
then Base station is sufficient to place and maintain a call [4,5].
Sometimes the mobile unit (MU) experiences no – network
within this coverage area due to failure of a successful
communication link between the base station (BS) and the
mobile unit (MU). This may be as a result of the failure of the
radiated signal by the base station to be successfully received
by the mobile unit or inability of the base station to radiate
signal as a result of a temporary problem.
A cellular network is a radio network distributed over land
areas called cells. The area serviced by a transmitter is called a
cell. Each small powered transmitter, also called a base station
provides coverage to only a small portion of the service area.
At least one fixed transmitting base station serve each cell. The
combinations of these cells provide radio coverage over a large
area [6]. The signal strength received by the mobile phone
depends on the distance from the Base station and the
prevailing environment. Base Station close to one another is
assigned different groups of channels so that the interference
between stations is minimized. By symmetrically spacing Base
station and their channel groups throughout a service area, the
available channels are distributed throughout the geographic
region and may be reused as many times as necessary, so long
as the interference between co-channel station is kept below
acceptable levels [7,8]. When designing a cellular system, the
signal strength plays a major role between the mobile phone
and the base station, hence the base station is cited so as to
provide enough signal to operate a mobile phone within its
coverage area [9].
II. METHODOLOGY
The RF Signal Tracker software was employed in this
work in conjunction with four phones equipped with the sims
of four different network providers. A total of forty-one test
points were assigned within the quarters that made up Ekpoma.
These test points gave a comprehensive representation of
Ekpoma. In each test point the received signal strength level
(RSSL) of Net A, Net B, Net C and Net D were measured
simultaneously for a period of one year to determine the
coverage level, quality of service and availability of the GSM
signal of each network.
A. Investigated Environment
Ekpoma is located in Edo state, south-south Nigeria. The
town lies between latitude 60
43’
and 60
45’
North of the
Equator, and longitude 60
6’
and 60
8’
East of the Greenwich
meridian. It is at 333 meters elevation above sea level. Ekpoma
town is the second most populated city in Edo state after Benin
City, the state capital. It has an area of 502 km2
and a
population of 125,842 according to the 2006 census. Ekpoma
is made up of the following quarters namely; Ujemen,
Idumebo, Iruekpen, Ihumudumu, Ukpenu, Ukhun, Ujeolen,
International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
351 | P a g e
Emaudo, Eguare, Emuhi, Uke, Illeh, Uhiele, Eghoro, Igor and
Idoa [10]. All the quarters were considered in the investigation.
B. Measurement Condition
Measurements were carried out daily except on Sundays
from May 2014 to April 2015 within any time of the day.
However, to ensure fairness to all the network operators, all
measurements for each network operator were taken
simultaneously at each test point. The measurements taken
were considered at three different periods namely May 2014 –
August 2014 during the raining season, September 2014 –
December 2015 period of which rain begins to subside and
January 2015 – April 2015 during dry season.
C. Measurement Procedure
The measurement setup is shown in Figure 1. A tecno Y4
handset equipped with a RF signal tracker is used to measure
the received signal strength level (power received) at different
test points from the base station. The software comprises of a
scale which represents the power received in dBm. For every
test point in the environment investigated, the power received
from the Base stations for Net A, Net B, Net C and Net D
respectively were taken simultaneously and compared with the
international acceptable standard of the Received Signal
Strength level (RSSL). The measurements were taken from
May 2014 to April 2015.
Fig. 1: Schematic Diagram showing Measurement setup.
D. Data Collection and
Presentation
The different test express junction, along Benin – Auchi road.
(2) Iruekpen – Abia road, along Benin – Auchi road. (3)
Iruekpen junction, along Benin – Auchi road. (4) Iruekpen
road, by Iruekpen post office. (5) Iruekpen – Sabo by-pass. (6)
Iruekpen general Hospital. (7) Abia – Ujemen by-pass. (8)
Supreme hotels junction, by Ujemen primary school. (9)
Eghoro village, off Ujemen – Idumebo. (10) Oriafo junction,
opp. PHCN office, Idumebo. (11) Ihumudumu community
town hall, Iseleloa. (12) G-2 junction, Ihumudumu. (13) Judges
quarter junction, Ihumudumu road. (14) Alli square round
about. (15) Ujeolen secondary school. (16) Ezekiel College of
Theology, Ujeolen. (17) College of medicine, AAU (18) Uke
primary school, Uke town. (19) 1-T4 junction by Benin –
Auchi road. (20) AAU library, main campus. (21) Mariere
hostel junction, main campus. (22) Faculty of Law, main
campus. (23) Faculty of Engineering & Technology, main
campus. (24) Ukpenu junction, along Benin – Auchi express
road. (25) Borehole junction, along Benin – Auchi express
road. (26) Opoji junction. (27) Akahia, Uhiele. (28) Ukpoke,
St. Paul’s Anglican Church. (29) Idumegan, Ehanlen primary
school. (30) Evbuakhuala village.(31) Illeh primary school by
St. matthew’s Anglican Church. (32) Evbuakhuala – Illeh road.
(33) Ikeokogbe, by Asemblies of God church. (34) Ukun road,
by Supreme hotels junction. (35) Market square round about.
(36) Mount carmel school, road 9. (37) Faculty of Agriculture,
Emaudo Campus. (38) Emaudo secoundary school. (39) Emuhi
market square, Emuhi (40) Ukpenu – Emuhi road. (41).
Ukpenu – Emuhi junction, by St. John’s Anglican church,
Ukpenu. The respective serial number of each test point is used
to identify each test point as shown in Table 1.
Table 1 shows the average RSSL for May 2014 – August
2014, September 2014 – December 2014, January 2015 – April
2015 and average RSSL for the total period of the
investigation.
points are;
(1) Iruekpen – Abia
Table 1: Average RSSL for the Different Periods of the Investigation.
Test
Points
AVERAGE RSSL FOR
MAY 2014 – AUGUST
2014 (dBm)
AVERAGE RSSL FOR
SEPT. 2014 – DEC. 2014
(dBm)
AVERAGE RSSL FOR
JAN. 2015 – APRIL 2015
(dBm)
AVERAGE RSSL FOR
MAY 2014 – APRIL 2015
(dBm)
Net
A
Net
B
Net
C
Net
D
Net
A
Net
B
Net
C
Net
D
Net
A
Net
B
Net
C
Net
D
Net
A
Net
B
Net
C
Net
D
1. -61 -67 -85 -73 -57 -85 -57 -67 -62 -69 -79 -75 -60 -74 -74 -69
2. -65 -72 -72 -80 -74 -81 -60 -73 -79 -83 -76 -75 -73 -79 -69 -75
3. -79 -73 -72 -80 -74 -81 -60 -73 -79 -83 -76 -75 -77 -79 -69 -75
4. -83 -69 -103 -75 -81 -93 -87 -77 -79 -78 -94 -76 -81 -80 -95 -76
5. -88 -72 -101 -78 -91 -75 -80 -79 -74 -70 -91 -81 -84 -72 -91 -79
6. -63 -93 -79 -91 -65 -91 -69 -91 -107 -94 -64 -92 -78 -93 -71 -93
7. -65 -81 -91 -69 -63 -71 -73 -67 -60 -81 -92 -71 -63 -78 -85 -68
8. -75 -65 -91 -69 -63 -71 -73 -67 -60 -81 -92 -71 -66 -72 -85 -68
9. -61 -71 -61 -71 -65 -51 -51 -63 -65 -76 -64 -75 -64 -66 -59 -66
10. -61 -77 -97 -95 -85 -63 -79 -75 -72 -76 -82 -87 -73 -72 -86 -82
11. -84 -66 -85 -76 -94 -80 -91 -82 -107 -74 -76 -95 -95 -73 -84 -80
12. -73 -75 -85 -67 -73 -51 -57 -81 -71 -73 -73 -64 -72 -66 -72 -76
13. -53 -61 -91 -85 -67 -71 -51 -79 -65 -78 -74 -79 -62 -70 -72 -81
14. -63 -65 -85 -63 -77 -80 -65 -87 -74 -68 -94 -81 -71 -71 -81 -79
15. -93 -63 -91 -77 -69 -74 -78 -74 -82 -74 -84 -80 -81 -70 -84 -75
16. -71 -63 -97 -83 -77 65 -85 -83 -76 -68 -75 -76 -75 -65 -86 -83
17. -75 -68 -87 -84 -76 -70 -82 -76 -80 -76 -74 -83 -77 -71 -81 -79
International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
352 | P a g e
18. -89 -71 -97 -91 -84 -78 -94 -79 -82 -73 -89 -94 -85 -74 -93 -83
19. -82 -68 -94 -94 -79 -72 -90 -65 -87 -84 -94 -83 -83 -75 -93 -75
20. -97 -67 -101 -95 -87 -68 -79 -95 -94 -67 -77 -96 -93 -67 -86 -95
21. -84 -69 -77 -78 -94 -81 -77 -87 -81 -68 -81 -87 -86 -73 -78 -84
22. -79 -71 -89 -75 -65 -74 -68 -75 -80 -57 -65 -81 -75 -67 -74 -75
23. -55 -55 -83 -85 -67 -59 -95 -78 -65 -70 -76 -84 -62 -61 -85 -80
24. -69 -57 -85 -77 -74 -54 -94 -79 -62 -63 -74 -80 -68 -58 -84 -78
25. -53 -78 -85 -53 -61 -67 -78 -82 -55 -61 -69 -76 -56 -69 -77 -72
26. -62 -68 -80 -69 -55 -65 -87 -80 -59 -78 -68 -84 -59 -70 -78 -76
27. -59 -51 -85 -75 -58 -55 -83 -74 -61 -94 -72 -79 -59 -67 -80 -74
28. -103 -97 -97 -101 -94 -88 -90 -79 -94 -97 -92 -87 -97 -94 -93 -86
29. -69 -83 -91 -67 -72 -79 -88 -95 -86 -69 -87 -95 -76 -77 -89 -86
30. -73 -67 -91 -87 -70 -69 -87 -96 -87 -78 -89 -91 -77 -71 -89 -93
31. -81 -77 -91 -71 -83 -75 -85 -89 -80 -85 -104 -94 -81 -79 -93 -83
32. -103 -93 -107 -89 -95 -78 -94 -106 -94 -87 -86 -86 -97 -86 -96 -99
33. -61 -75 -85 -89 -85 -85 -57 -83 -72 -76 -94 -105 -73 -79 -79 -85
34. -101 -75 -85 -79 -85 -71 -51 -63 -79 -68 -86 -80 -88 -71 -74 -68
35. -107 -63 -91 -65 -89 -83 -75 -85 -84 -75 -79 -71 -93 -74 -82 -78
36. -107 -73 -97 -85 -85 -85 -77 -85 -86 -74 -86 -69 -93 -77 -87 -85
37. -97 -63 -91 -85 -85 -82 -71 -77 -81 -70 -94 -78 -88 -72 -85 -80
38. -85 -75 -86 -79 -76 -79 -80 -79 -80 -69 -87 -79 -80 -74 -84 -79
39. -87 -94 -89 -99 -79 -77 -83 -93 -86 -80 -80 -94 -84 -84 -84 -95
40. -71 -65 -91 -69 -95 -65 -69 -79 -75 -72 -94 -90 -80 -67 -85 -76
41. -76 -84 -81 -85 -75 -69 -72 -70 -81 -75 -79 -85 -77 -76 -77 -75
III. RESULTS AND DISCUSSION
According to the international acceptable standard of
RSSL, a test point is said to have good coverage when the
RSSL (dBm) at that test point is greater than -93dBm [11].
The average of the RSSL (dBm) taken for each test point and
the coverage level (%) of each network provider are calculated
from equations (1) and (2) respectively.
Average RSSL = ∑ RSSL / N -------------------------- (1)
CL (%) = NTPGC / TNTP × 100% ------------------- (2)
Where N is the number of RSSL measured,
NTPGC is the number of test points with good coverage and
TNTP is the total number of test points.
Analysis of Coverage Level for May to August 2014
From table 1
TNTP is 41, which is the total number of test points for the
period of the investigation.
Net A (NTPGC) = 33 Net B (NTPGC) = 38
Net C (NTPGC) = 32 Net D (NTPGC) = 36
.`. CL (%) for Net A= 33/41 x 100% = 80.46 %
CL (%) for Net B = 38/41 x 100% = 92.68 %
CL (%) for Net = 32/41 x 100% = 78.04 %
CL (%) for Net D= 36/41 x 100% = 87.80 %
The coverage level of Net A, Net B, Net C and Net D for the
period of investigation are 80.46%, 92.68%, 78.04 % ,
87.80% respectively.
Analysis of Coverage Level for September 2014 to
December 2014
From table 1
TNTP is 41, which is the total number of test points for the
period of the investigation.
Net A (NTPGC) = 36 Net B (NTPGC) = 39
Net C (NTPGC) = 37 Net D (NTPGC) = 36
.`.CL (%) for Net A = 36/41 x 100% = 87.80 %
CL (%) for Net B = 39/41 x 100% = 95.12 %
CL (%) for Net C = 37/41 x 100% = 90.24 %
CL (%) for Net D = 36/41 x 100% = 87.80 %
The coverage level of Net A, Net B, Net C and Net D for the
period of investigation are 87.80%, 95.12%, 90.24 % ,
87.80% respectively.
Analysis of Coverage Level from January 2015 to April
2015
From table 1
TNTP is 41, which is the total number of test points for the
period of the investigation.
Net A (NTPGC) = 36 Net B (NTPGC) = 39
Net C (NTPGC) = 35 Net D (NTPGC) = 34
.`.CL (%) for Net A = 36/41 x 100% = 87.80 %
CL (%) for Net B = 39/41 x 100% = 95.12 %
CL (%) for Net C = 35/41 x 100% = 85.36 %
CL (%) for Net D = 34/41 x 100% = 82.92 %
The coverage level of Net A, Net B, Net C and Net D for the
period of investigation are 87.80%, 95.12%, 85.36 % ,
82.92% respectively.
Analysis of the Average Coverage Level from May 2014 to
April 2015
The mean coverage level for each Network for the period of
the investigation is calculated by taking the average of various
coverage levels for the period. The mean coverage level for
the four networks for the period of investigation is shown
below;
Mean CL (%) for the different operators are;
Net A = (80.46 + 87.80 + 87.80)/3 = 85.35 %
Net B = (92.68 + 95.12 +95.12)/3 = 94.31 %
Net C = (78.04 + 90.24 + 85.36)/3 = 84.53 %
Net D = (87.80 + 87.80 + 82.92)/3 = 86.17 %
The graphical representation of the coverage level of the
networks for the period of investigation is given in the
following figures.
International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
353 | P a g e
Fig. 2 Analysis of Coverage Level from May 2014 to August 2014.
Fig. 3 Analysis of Coverage Level from September 2014 to December 2014.
International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
354 | P a g e
Fig. 4 Analysis of Coverage Level from January 2015 to April 2015.
Fig. 5 Analysis of the Average Coverage Level from May 2014 to April 2015.
International Journal of Technical Research and Applications e-ISSN: 2320-8163,
www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355
355 | P a g e
Fig. 6 Combine Coverage Level Plot for Operators from May 2014 to April 2015 and the mean coverage level for the operators
IV. CONCLUSION
The result of this investigation shows that no single
network provider gave an excellent coverage for the period of
the investigation. However, Net B offered a very good level of
coverage and quality of service compared with Net A, Net C
and Net D during the period of the investigation. The quality
of services provided by the network provider generally needs
improvement. It was also observed that Net A, Net C and Net
D experience more periods of no – signal (no – network) and
fluctuations of signals within the period of the investigation.
In order to ensure a better coverage and a better quality of
service, Net A, Net C and Net D need to increase the number
of their Base Stations to ensure a satisfactory service to its
subscriber.
REFERENCES
[1]. http://www.sss-mag.com/indoor.html2015
[2]. Rakesh .N. and Srivatsa, (2013). A study on path loss
analysis for GSM mobile networks for Urban, Rural and
Suburban regions of Karnataka state. International journal
of distributed and journal parallel system (IJDPS) 4(1)
[3]. Peter F.D. (2000). Prediction of Multipath Delay Profile in
Mountainous terrain. IEEE journal on selected areas in
communication. 18(3): 336 – 346.
[4]. Adebayo T.L. (2006). Performance Characteristics and
Modelling of power received of GSM signal. (A case study
of Benin City), University of Benin, PhD Thesis.
[5]. Ibrahim M., Parsons J. (1983). Signal strength prediction in
Built up areas. IEEE proc., 130(5)
[6]. Saveeda P., Vinothini E., Swathi V., and Ayya ppan K.
(2013). Received signal strength calculation for GSM
cellular system at BSNL Pondicherry using modified
HATA model. International journal of science, Engineering
and Technology Research (IJSETR) 2(1).
[7]. Young W.R (1979). Advanced mobile phone service;
introduction, background and objectives. Bells system
technical journal. 58: 1 – 14.
[8]. Hata M. (1980). Emperical formula for propagation loss in
land mobile radio services. IEEE transactions on vehicular
technology. 35(2): 48 – 56.
[9]. Atefi M., Parsons J. (1986), “Urban Radion Propagation in
Mobile Frequency Bands” IEEE communication 86,
conference publication. 262.
[10].Aziegbe F.I. (2006) Sediment sources, redistribution, and
management in Ekpoma, Nigeria. Journal of human
ecology 20(4): 259 – 268.
[11].Signal strength measurement in TEMS mobile (2002).
White paper of Erricson Erisoft AB.

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INVESTIGATION OF COVERAGE LEVEL AND THE AVAILABILITY OF GSM SIGNAL IN EKPOMA, NIGERIA

  • 1. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 350 | P a g e INVESTIGATION OF COVERAGE LEVEL AND THE AVAILABILITY OF GSM SIGNAL IN EKPOMA, NIGERIA O. Omorogiuwa Department of Electrical And Electronic Engineering Ambrose Alli University, Ekpoma, Nigeria owenseme@yahoo.com ABSTRACT- This work presents the investigation of the coverage level and the availability of GSM signal in Ekpoma, Edo State, Nigeria. The RF Signal Tracker installed in four Tecno Y4 handsets equipped with four different sims of the available network providers referred to as Net A, Net B, Net C and Net D was used to measure the received signal strength at the various test points for a period of one year. The data was analyzed to determine the coverage level, the quality of service and the availability of the different network signals in the investigated environment. Forty- one test points within the service area were selected to give a comprehensive representation of Ekpoma. The investigation was carried out from May 2014 to April 2015. The result when compared with the international acceptable standard of RSSL (Received Signal Strength Level) revealed that Net B offered a better level of coverage and quality of service compared with Net A, Net C and Net D. It was also observed that Net A, Net C and Net D experience more periods of no – signal (no – network) and fluctuations of signals within the period of the investigation. In order to ensure a better coverage and a better quality of service, Net A, Net C and Net D need to increase the number of their Base Stations. KEYWORDS: Global system for mobile communication (GSM), Base station, Mobile unit, Signal strength, Coverage level, Signal tracker. I. INTRODUCTION The three basic mechanisms of radio propagation are attributed to reflection, diffraction and scattering. All three of these phenomenon cause radio signal distortions and give rise to signal fades as well as additional signal propagation losses [1]. When establishing any radio or wireless system, it is necessary to consider the unique features of the propagation environment and also to have good knowledge about the parameters that give rise to signal loss. For accurate design, coverage of modem cellular networks and signal strength measurement will be considered as source of data, in order to provide reliable and efficient coverage locality [2]. The coverage area is the total area covered by a radiated signal from any global system for mobile communication (GSM) network provider. In a cellular system, the communication between the GSM radio station and the mobile phone is bi-directional. However, the system is designed so that if there is sufficient signal strength at the mobile phone from the Base station, then there is also enough signals from the mobile station to the base station [3,4]. A mobile phone is said to be in coverage, if the signal at the mobile phone from then Base station is sufficient to place and maintain a call [4,5]. Sometimes the mobile unit (MU) experiences no – network within this coverage area due to failure of a successful communication link between the base station (BS) and the mobile unit (MU). This may be as a result of the failure of the radiated signal by the base station to be successfully received by the mobile unit or inability of the base station to radiate signal as a result of a temporary problem. A cellular network is a radio network distributed over land areas called cells. The area serviced by a transmitter is called a cell. Each small powered transmitter, also called a base station provides coverage to only a small portion of the service area. At least one fixed transmitting base station serve each cell. The combinations of these cells provide radio coverage over a large area [6]. The signal strength received by the mobile phone depends on the distance from the Base station and the prevailing environment. Base Station close to one another is assigned different groups of channels so that the interference between stations is minimized. By symmetrically spacing Base station and their channel groups throughout a service area, the available channels are distributed throughout the geographic region and may be reused as many times as necessary, so long as the interference between co-channel station is kept below acceptable levels [7,8]. When designing a cellular system, the signal strength plays a major role between the mobile phone and the base station, hence the base station is cited so as to provide enough signal to operate a mobile phone within its coverage area [9]. II. METHODOLOGY The RF Signal Tracker software was employed in this work in conjunction with four phones equipped with the sims of four different network providers. A total of forty-one test points were assigned within the quarters that made up Ekpoma. These test points gave a comprehensive representation of Ekpoma. In each test point the received signal strength level (RSSL) of Net A, Net B, Net C and Net D were measured simultaneously for a period of one year to determine the coverage level, quality of service and availability of the GSM signal of each network. A. Investigated Environment Ekpoma is located in Edo state, south-south Nigeria. The town lies between latitude 60 43’ and 60 45’ North of the Equator, and longitude 60 6’ and 60 8’ East of the Greenwich meridian. It is at 333 meters elevation above sea level. Ekpoma town is the second most populated city in Edo state after Benin City, the state capital. It has an area of 502 km2 and a population of 125,842 according to the 2006 census. Ekpoma is made up of the following quarters namely; Ujemen, Idumebo, Iruekpen, Ihumudumu, Ukpenu, Ukhun, Ujeolen,
  • 2. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 351 | P a g e Emaudo, Eguare, Emuhi, Uke, Illeh, Uhiele, Eghoro, Igor and Idoa [10]. All the quarters were considered in the investigation. B. Measurement Condition Measurements were carried out daily except on Sundays from May 2014 to April 2015 within any time of the day. However, to ensure fairness to all the network operators, all measurements for each network operator were taken simultaneously at each test point. The measurements taken were considered at three different periods namely May 2014 – August 2014 during the raining season, September 2014 – December 2015 period of which rain begins to subside and January 2015 – April 2015 during dry season. C. Measurement Procedure The measurement setup is shown in Figure 1. A tecno Y4 handset equipped with a RF signal tracker is used to measure the received signal strength level (power received) at different test points from the base station. The software comprises of a scale which represents the power received in dBm. For every test point in the environment investigated, the power received from the Base stations for Net A, Net B, Net C and Net D respectively were taken simultaneously and compared with the international acceptable standard of the Received Signal Strength level (RSSL). The measurements were taken from May 2014 to April 2015. Fig. 1: Schematic Diagram showing Measurement setup. D. Data Collection and Presentation The different test express junction, along Benin – Auchi road. (2) Iruekpen – Abia road, along Benin – Auchi road. (3) Iruekpen junction, along Benin – Auchi road. (4) Iruekpen road, by Iruekpen post office. (5) Iruekpen – Sabo by-pass. (6) Iruekpen general Hospital. (7) Abia – Ujemen by-pass. (8) Supreme hotels junction, by Ujemen primary school. (9) Eghoro village, off Ujemen – Idumebo. (10) Oriafo junction, opp. PHCN office, Idumebo. (11) Ihumudumu community town hall, Iseleloa. (12) G-2 junction, Ihumudumu. (13) Judges quarter junction, Ihumudumu road. (14) Alli square round about. (15) Ujeolen secondary school. (16) Ezekiel College of Theology, Ujeolen. (17) College of medicine, AAU (18) Uke primary school, Uke town. (19) 1-T4 junction by Benin – Auchi road. (20) AAU library, main campus. (21) Mariere hostel junction, main campus. (22) Faculty of Law, main campus. (23) Faculty of Engineering & Technology, main campus. (24) Ukpenu junction, along Benin – Auchi express road. (25) Borehole junction, along Benin – Auchi express road. (26) Opoji junction. (27) Akahia, Uhiele. (28) Ukpoke, St. Paul’s Anglican Church. (29) Idumegan, Ehanlen primary school. (30) Evbuakhuala village.(31) Illeh primary school by St. matthew’s Anglican Church. (32) Evbuakhuala – Illeh road. (33) Ikeokogbe, by Asemblies of God church. (34) Ukun road, by Supreme hotels junction. (35) Market square round about. (36) Mount carmel school, road 9. (37) Faculty of Agriculture, Emaudo Campus. (38) Emaudo secoundary school. (39) Emuhi market square, Emuhi (40) Ukpenu – Emuhi road. (41). Ukpenu – Emuhi junction, by St. John’s Anglican church, Ukpenu. The respective serial number of each test point is used to identify each test point as shown in Table 1. Table 1 shows the average RSSL for May 2014 – August 2014, September 2014 – December 2014, January 2015 – April 2015 and average RSSL for the total period of the investigation. points are; (1) Iruekpen – Abia Table 1: Average RSSL for the Different Periods of the Investigation. Test Points AVERAGE RSSL FOR MAY 2014 – AUGUST 2014 (dBm) AVERAGE RSSL FOR SEPT. 2014 – DEC. 2014 (dBm) AVERAGE RSSL FOR JAN. 2015 – APRIL 2015 (dBm) AVERAGE RSSL FOR MAY 2014 – APRIL 2015 (dBm) Net A Net B Net C Net D Net A Net B Net C Net D Net A Net B Net C Net D Net A Net B Net C Net D 1. -61 -67 -85 -73 -57 -85 -57 -67 -62 -69 -79 -75 -60 -74 -74 -69 2. -65 -72 -72 -80 -74 -81 -60 -73 -79 -83 -76 -75 -73 -79 -69 -75 3. -79 -73 -72 -80 -74 -81 -60 -73 -79 -83 -76 -75 -77 -79 -69 -75 4. -83 -69 -103 -75 -81 -93 -87 -77 -79 -78 -94 -76 -81 -80 -95 -76 5. -88 -72 -101 -78 -91 -75 -80 -79 -74 -70 -91 -81 -84 -72 -91 -79 6. -63 -93 -79 -91 -65 -91 -69 -91 -107 -94 -64 -92 -78 -93 -71 -93 7. -65 -81 -91 -69 -63 -71 -73 -67 -60 -81 -92 -71 -63 -78 -85 -68 8. -75 -65 -91 -69 -63 -71 -73 -67 -60 -81 -92 -71 -66 -72 -85 -68 9. -61 -71 -61 -71 -65 -51 -51 -63 -65 -76 -64 -75 -64 -66 -59 -66 10. -61 -77 -97 -95 -85 -63 -79 -75 -72 -76 -82 -87 -73 -72 -86 -82 11. -84 -66 -85 -76 -94 -80 -91 -82 -107 -74 -76 -95 -95 -73 -84 -80 12. -73 -75 -85 -67 -73 -51 -57 -81 -71 -73 -73 -64 -72 -66 -72 -76 13. -53 -61 -91 -85 -67 -71 -51 -79 -65 -78 -74 -79 -62 -70 -72 -81 14. -63 -65 -85 -63 -77 -80 -65 -87 -74 -68 -94 -81 -71 -71 -81 -79 15. -93 -63 -91 -77 -69 -74 -78 -74 -82 -74 -84 -80 -81 -70 -84 -75 16. -71 -63 -97 -83 -77 65 -85 -83 -76 -68 -75 -76 -75 -65 -86 -83 17. -75 -68 -87 -84 -76 -70 -82 -76 -80 -76 -74 -83 -77 -71 -81 -79
  • 3. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 352 | P a g e 18. -89 -71 -97 -91 -84 -78 -94 -79 -82 -73 -89 -94 -85 -74 -93 -83 19. -82 -68 -94 -94 -79 -72 -90 -65 -87 -84 -94 -83 -83 -75 -93 -75 20. -97 -67 -101 -95 -87 -68 -79 -95 -94 -67 -77 -96 -93 -67 -86 -95 21. -84 -69 -77 -78 -94 -81 -77 -87 -81 -68 -81 -87 -86 -73 -78 -84 22. -79 -71 -89 -75 -65 -74 -68 -75 -80 -57 -65 -81 -75 -67 -74 -75 23. -55 -55 -83 -85 -67 -59 -95 -78 -65 -70 -76 -84 -62 -61 -85 -80 24. -69 -57 -85 -77 -74 -54 -94 -79 -62 -63 -74 -80 -68 -58 -84 -78 25. -53 -78 -85 -53 -61 -67 -78 -82 -55 -61 -69 -76 -56 -69 -77 -72 26. -62 -68 -80 -69 -55 -65 -87 -80 -59 -78 -68 -84 -59 -70 -78 -76 27. -59 -51 -85 -75 -58 -55 -83 -74 -61 -94 -72 -79 -59 -67 -80 -74 28. -103 -97 -97 -101 -94 -88 -90 -79 -94 -97 -92 -87 -97 -94 -93 -86 29. -69 -83 -91 -67 -72 -79 -88 -95 -86 -69 -87 -95 -76 -77 -89 -86 30. -73 -67 -91 -87 -70 -69 -87 -96 -87 -78 -89 -91 -77 -71 -89 -93 31. -81 -77 -91 -71 -83 -75 -85 -89 -80 -85 -104 -94 -81 -79 -93 -83 32. -103 -93 -107 -89 -95 -78 -94 -106 -94 -87 -86 -86 -97 -86 -96 -99 33. -61 -75 -85 -89 -85 -85 -57 -83 -72 -76 -94 -105 -73 -79 -79 -85 34. -101 -75 -85 -79 -85 -71 -51 -63 -79 -68 -86 -80 -88 -71 -74 -68 35. -107 -63 -91 -65 -89 -83 -75 -85 -84 -75 -79 -71 -93 -74 -82 -78 36. -107 -73 -97 -85 -85 -85 -77 -85 -86 -74 -86 -69 -93 -77 -87 -85 37. -97 -63 -91 -85 -85 -82 -71 -77 -81 -70 -94 -78 -88 -72 -85 -80 38. -85 -75 -86 -79 -76 -79 -80 -79 -80 -69 -87 -79 -80 -74 -84 -79 39. -87 -94 -89 -99 -79 -77 -83 -93 -86 -80 -80 -94 -84 -84 -84 -95 40. -71 -65 -91 -69 -95 -65 -69 -79 -75 -72 -94 -90 -80 -67 -85 -76 41. -76 -84 -81 -85 -75 -69 -72 -70 -81 -75 -79 -85 -77 -76 -77 -75 III. RESULTS AND DISCUSSION According to the international acceptable standard of RSSL, a test point is said to have good coverage when the RSSL (dBm) at that test point is greater than -93dBm [11]. The average of the RSSL (dBm) taken for each test point and the coverage level (%) of each network provider are calculated from equations (1) and (2) respectively. Average RSSL = ∑ RSSL / N -------------------------- (1) CL (%) = NTPGC / TNTP × 100% ------------------- (2) Where N is the number of RSSL measured, NTPGC is the number of test points with good coverage and TNTP is the total number of test points. Analysis of Coverage Level for May to August 2014 From table 1 TNTP is 41, which is the total number of test points for the period of the investigation. Net A (NTPGC) = 33 Net B (NTPGC) = 38 Net C (NTPGC) = 32 Net D (NTPGC) = 36 .`. CL (%) for Net A= 33/41 x 100% = 80.46 % CL (%) for Net B = 38/41 x 100% = 92.68 % CL (%) for Net = 32/41 x 100% = 78.04 % CL (%) for Net D= 36/41 x 100% = 87.80 % The coverage level of Net A, Net B, Net C and Net D for the period of investigation are 80.46%, 92.68%, 78.04 % , 87.80% respectively. Analysis of Coverage Level for September 2014 to December 2014 From table 1 TNTP is 41, which is the total number of test points for the period of the investigation. Net A (NTPGC) = 36 Net B (NTPGC) = 39 Net C (NTPGC) = 37 Net D (NTPGC) = 36 .`.CL (%) for Net A = 36/41 x 100% = 87.80 % CL (%) for Net B = 39/41 x 100% = 95.12 % CL (%) for Net C = 37/41 x 100% = 90.24 % CL (%) for Net D = 36/41 x 100% = 87.80 % The coverage level of Net A, Net B, Net C and Net D for the period of investigation are 87.80%, 95.12%, 90.24 % , 87.80% respectively. Analysis of Coverage Level from January 2015 to April 2015 From table 1 TNTP is 41, which is the total number of test points for the period of the investigation. Net A (NTPGC) = 36 Net B (NTPGC) = 39 Net C (NTPGC) = 35 Net D (NTPGC) = 34 .`.CL (%) for Net A = 36/41 x 100% = 87.80 % CL (%) for Net B = 39/41 x 100% = 95.12 % CL (%) for Net C = 35/41 x 100% = 85.36 % CL (%) for Net D = 34/41 x 100% = 82.92 % The coverage level of Net A, Net B, Net C and Net D for the period of investigation are 87.80%, 95.12%, 85.36 % , 82.92% respectively. Analysis of the Average Coverage Level from May 2014 to April 2015 The mean coverage level for each Network for the period of the investigation is calculated by taking the average of various coverage levels for the period. The mean coverage level for the four networks for the period of investigation is shown below; Mean CL (%) for the different operators are; Net A = (80.46 + 87.80 + 87.80)/3 = 85.35 % Net B = (92.68 + 95.12 +95.12)/3 = 94.31 % Net C = (78.04 + 90.24 + 85.36)/3 = 84.53 % Net D = (87.80 + 87.80 + 82.92)/3 = 86.17 % The graphical representation of the coverage level of the networks for the period of investigation is given in the following figures.
  • 4. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 353 | P a g e Fig. 2 Analysis of Coverage Level from May 2014 to August 2014. Fig. 3 Analysis of Coverage Level from September 2014 to December 2014.
  • 5. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 354 | P a g e Fig. 4 Analysis of Coverage Level from January 2015 to April 2015. Fig. 5 Analysis of the Average Coverage Level from May 2014 to April 2015.
  • 6. International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com Volume 3, Issue 3 (May-June 2015), PP. 350-355 355 | P a g e Fig. 6 Combine Coverage Level Plot for Operators from May 2014 to April 2015 and the mean coverage level for the operators IV. CONCLUSION The result of this investigation shows that no single network provider gave an excellent coverage for the period of the investigation. However, Net B offered a very good level of coverage and quality of service compared with Net A, Net C and Net D during the period of the investigation. The quality of services provided by the network provider generally needs improvement. It was also observed that Net A, Net C and Net D experience more periods of no – signal (no – network) and fluctuations of signals within the period of the investigation. In order to ensure a better coverage and a better quality of service, Net A, Net C and Net D need to increase the number of their Base Stations to ensure a satisfactory service to its subscriber. REFERENCES [1]. http://www.sss-mag.com/indoor.html2015 [2]. Rakesh .N. and Srivatsa, (2013). A study on path loss analysis for GSM mobile networks for Urban, Rural and Suburban regions of Karnataka state. International journal of distributed and journal parallel system (IJDPS) 4(1) [3]. Peter F.D. (2000). Prediction of Multipath Delay Profile in Mountainous terrain. IEEE journal on selected areas in communication. 18(3): 336 – 346. [4]. Adebayo T.L. (2006). Performance Characteristics and Modelling of power received of GSM signal. (A case study of Benin City), University of Benin, PhD Thesis. [5]. Ibrahim M., Parsons J. (1983). Signal strength prediction in Built up areas. IEEE proc., 130(5) [6]. Saveeda P., Vinothini E., Swathi V., and Ayya ppan K. (2013). Received signal strength calculation for GSM cellular system at BSNL Pondicherry using modified HATA model. International journal of science, Engineering and Technology Research (IJSETR) 2(1). [7]. Young W.R (1979). Advanced mobile phone service; introduction, background and objectives. Bells system technical journal. 58: 1 – 14. [8]. Hata M. (1980). Emperical formula for propagation loss in land mobile radio services. IEEE transactions on vehicular technology. 35(2): 48 – 56. [9]. Atefi M., Parsons J. (1986), “Urban Radion Propagation in Mobile Frequency Bands” IEEE communication 86, conference publication. 262. [10].Aziegbe F.I. (2006) Sediment sources, redistribution, and management in Ekpoma, Nigeria. Journal of human ecology 20(4): 259 – 268. [11].Signal strength measurement in TEMS mobile (2002). White paper of Erricson Erisoft AB.