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International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 20
ExperimentalPropagationStudyfor 2G, 3G, and 4G
Frequencies
Fulya Callialp Kunter1,2
, Saban Selim Seker3
, Elif Surmeli3
, Osman Cerezci4
1
(ElectricalandElectronicsEngineeringDepartment, Marmara University, Turkey)
2
(ElectricalEngineeringDepartment, ChulalongkornUniversity, Thailand (on sabbaticalleave))
3
(ElectricalandElectronicsEngineeringDepartment, BogaziciUniversity, Turkey)
4
(ElectricalandElectronicsEngineeringDepartment, Sakarya University, Turkey)
ABSTRACT : Nowadays, there has been an increase and dependent items that affect the quality of the signals
such as the properties of substances in the buildings, objects and humans’ movements, electronic equipment. In
this study, the effects of electromagnetic interference on the functional usage of mobile communications are
examined. The indoor and outdoor attenuation characteristics of 2G, 3G and 4G frequency bands are
investigated. Field strength measurements are conducted in university campusopenarea, along a corridorfield
in a fivestoreyuniversitybuilding, in different floors, and rooms, where normal incidence on plane boundary is of
main concern. This study investigates multilayer model for building structures. The evaluation of measured
values together with the simulated results is compared with literature outcomes. In addition, dependency with
the frequency, power of the waves and existence of trees on the transmission path are also discussed.
KEYWORDS -Attenuationcharacteristics, electromagneticpropagation,
fieldstrengthmeasurement,transmissionpath.
I. INTRODUCTION
Thegreatsuccess of mobile
communications encouraged the researchers to
study, either statistical or theoretical, on the indoor
radio propagation, which was shown to be very
complex and dependent on variousfactors,
whichcauseinterference, attenuationandfluctuations
in signalstrength [1-7]. Investigation of indoor
propagation characteristics cover many situations
in which they differ in the properties of
construction materials, moving individuals,
furnishings, architectural configurations etc.
Therefore in order to provide services with good
coverage and efficiency, the characteristics of
indoor propagation for mobile communication must
be investigated in different environments and
conditions. For instance in the healthcare domain,
the increase in the use of cellular developments
prompt the researchers concern about the
interference problems. Many studies reveal that
2G/3G/4G LTE cellular phones exposures effects
the function and operation of medical devices [8-
17]. In these publications they find out that the
clear distinction between 2G , 3G and 4G cellular
phones is that the peak power emitted by 3G and
4G cellular phones are much lower ( max. 1 W)
compared to the corresponding value issued by the
2G phones.
Propagationprediction has been an
important subject for the design of mobile
communications systems. In order to provide
efficient and reliable coverage of services,
understanding the factors that influence signal
strength and determining the parameters of radio
system is very important. ElgannasandKostanic
[18] have studied the propagation characteristics
for both indoors and outdoors at 850 MHz and
1900 MHz frequencies. The penetration loss of
four different buildings are examined and
concluded that building penetration loss may not be
depend on the operating frequency. Evaluation and
analysis of 3G network in Lagos, Nigeria has
beenconductedbyAkinyemi et al. [19].
Receivedsignalcodepower, Ec/No service quality,
speechqualityindex, transmittingpower and path
loss are the parameters measured in the study. In
2016, RodriquezLarrad [20]
analysisexploredthepenetration loss at normal
incidence for the frequency range from 800 MHz
up to 18 GHz for several modern constructions in
comparison with an old building. From the
measurement results, it is observed that the
attenuation experienced in all the different
scenarios is material dependent. A set of
dedicatedmeasurementswereperformed along
several corridors in shopping malls and modern and
old constructions in order to characterize the
International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 21
different indoor propagation contributions. The
attenuation from the indoor walls was found to
present very small frequency dependence.
Subsequent studies showed that not only
the existence of floors or the distance between the
receiver and transmitter but also the existence of
obstacles, features of construction materials,
architectural configurations and many other factors
had significant influence the path loss [7]. For this
reason path loss models [21] have been modified
multiple times and propagation parameters have
been improved according to measurement data.
Hence approximate numerical approaches based on
theory have been of interest. In particular, ray
tracing, which is a nice method for calculating
radio signal strength, propagation parameters in an
indoor environment, is based on Fresnel equations
and uniform/general theory of diffraction. Inyears,
manydifferent ray-
tracingapproacheshavebeendevelopedformodelingi
ndoorwavepropagationandpenetration [3, 22].
Numerous studies include comparisons
between the path losses from propagation
measurements at various frequencies indoors and
outdoors [5], however an extensive experimental
propagation study on building structures for 2G,
3G and 4G frequencies have not been reported yet.
This study presented in this paper describes
detailed measurement conducted inside the
university building and outside the building to
characterize the propagation at 2G, 3G and 4G
frequencies. This paper is organized as follows.
The first step of the study addresses the locations
where the experiments have been conducted. In the
initial part of the study, the transmitter and the
receiver configurations with the transmitter power
is given for each setup areas at selected
frequencies. Next section highlights the
experiments which are conducted to provide the
indoor and outdoor attenuation characteristics. In
the conclusion, further analyses are given in details
by means of simulations, and the future potential
research directions that could help to extend the
presented findings are introduced.
II. EXPERİMANTALSETUPAREAS
Each floor has 2.70 m height and 1.35 m
concrete wall between floors. Transmitter was
placed 2.4 m above the ground and receiver was
held at 0.2 to 1.20 m above the floor. The ceiling
has spot lightening and measurements were made
close to the staircase. The measurements were
performed outdoor and at different points in
thecorridors, at differentfloorsanddifferentrooms in
theBogaziciUniversity KB building. In each
measurements, transmitter power was 2 W
withpulsesignal,
andthetransmitterfrequencywas900/2100/2450
MHz.
Freespacemeasurementsweremade in
BogaziciUniversity North Campus in front of
Abtullah Kuran library. The transmitter was placed
1.50 m above the ground and the receiver was held
at 1.30 m height during experiment. Receiver was
moved along the straight path with 3m
displacement at each measurement. The panel
antenna was vertically polarized and the receiver
was an isotropic three axis antenna.
In the corridor, the transmitter was placed
1.20 m above the ground and the receiver was held
at 1.2 m height during experiment.
Through floors, the transmitter was placed
2.40 m facing the ceiling. Receiver was held at
points that were in the direction transmitter
propagation.
Transmitter in the room measurements
was placed on the desk and transmitter antenna 20
cm above the surface, 1.20 m above the ground.
Thetransmittingantenna has 7±1 dBigainfor 900
MHz and 8 ±1 dBigainfor 2100 MHz and 2450
MHz. The transmitting antenna is a directional
panel antenna which is vertically polarized and has
dimensions 0.21 m x 0.18 m x 0.44 m.
Thereceiverwiththree-axisantenna has gain 18.90
dBi, 13.8dBiand 15.5 dBifor 900 MHz, 2100 MHz
and 2450 MHz respectively. It was held at 1.2 m
height during measurements.
III. EXPERİMENTALINVESTİGATİON
3.1 Freespacepropagationresults
This model is based on Friisformula,
whichgives the amount of power of an antenna
which is received under ideal conditions from
another antenna. This equation provides accurate
results for far field, unobstructed free space and
correct alignment and polarization of antennas.
Plane earth model takes into account the
near ground effects in propagation and loss due to
reflection from earth and other propagation
mechanisms are included. The parameters can be
defined empirically from the best fit to data [23].
International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 22
Figure 1. Attenuation(dB) vs. distance from
transmitter in open area for 900 MHz
Figure 2. Attenuation(dB) vs. distance from
transmitter in open area for 2100 MHz
Figure 3. Attenuation(dB) vs.
distancefromtransmitter in openareafor 2450 MHz
It is clear from the results that the ground
effect shows itself after a certain distance and
dominates the free space attenuation. When, the
distance is small enough, the reflected signal
cannot contribute to the measured signal. Finally
the movement of people also might have caused the
deviations in signal temporarily.
3.2 Corridorattenuation
Figure 4. Attenuation(dB) vs. distance from
transmitter along the corridor for 900 MHz
Figure 5. Attenuation(dB ) vs. distance from
transmitter along the corridor for 2100 MHz
International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 23
Figure 6. Attenuation(dB) vs.
distancefromtransmitteralongthecorridorfor 2450
MHz
The results have shown that for the
attenuation in corridors, the reflection from the
floor affects the propagation after a certain distance
which can be calculated from ground model. The
deviations from theoretical and empirical results
are due to the effect of opendoornearthetransmitter,
thematerial of floor, theworkingWiFitransmitter on
thewall. Moreover diffraction plays a role in
saturation of signals after a certain distance from
the transmitter. Hence the attenuation at the same
distance is less than free space attenuation.
3.3 Floors
EM waves impinge upon a plane boundary
obliquely will be partially reflected back to first
medium and partially transmitted (refracted) in the
second medium. Boundary conditions determine
the direction of propagation and the amplitudes of
these waves. The path loss in terms of reflection
and transmission coefficients is calculated for TE
polarization [2].
Commonbuildingmaterialsare non-
magnetic and non-ionised so that only the dielectric
properties of building materials will be considered.
Mostbuildingmaterialsshowlossydielectriccharacter
istics. Hence the wave impedance and the
reflection/transmission coefficients include
imaginary parts. We have calculated these
coefficients referring the permittivity studies of
building construction materials.
Moreoveraccordingtothisattenuationperwallvaluew
ehavemodifiedtheFriisequationand in
thefiguresbelowthevalueforFriisvaluesare not
thepurefreespaceloss.
It can be seen that the free space formula
with wall loss may not be inadequate to predict
attenuation, due to existing a lot of environmental
factors that contribute to signal level.
Figure 7. Attenuation(dB) vs. distance from
transmitter on the floor for 900 MHz
Figure 8. Attenuation(dB) vs. distance from
transmitter on the floor for 2100 MHz
Figure 9. Attenuation(dB) vs. distance from
transmitter on the floor for 2450 MHz
Measurements in different floors have
shown that the effect of multipath components
might affect the signal strength and coverage in the
area strongly. Signals find new paths to propagate
upper floors which cause less decrement through
upper floors. Literature coincides with our results.
ITU model is used for simulation. The results are
quite similar with measurement data.
International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 24
ITU model for attenuation in indoor
environment includes different parameters which
are tabulated for different frequencies. The ITU
formulas are stated in [24, 25].
It is
importanttonotethatthetransmittingWiFidevices in
eachfloorcausedgreatinterference effect and
resulted in divergence from theoretical and
empirical expected values. Moreover the ceiling
material and lightening caused reflections and
variations in signal strength.
3.4 Rooms
WehavemodifiedtheFriisequationbyadding
a wall loss component in the equation and the
graphs are plotted according to these values.
Hencethefriisvalues in thegraphsincludeattenuation
by walls. Moreover the same formula for the
corridors, the ITU model is used for simulating the
data.
Figure 10. Attenuation(dB) vs.
distancefromtransmitter in theroomfor 900 MHz
Figure 11. Attenuation(dB) vs. distance from
transmitter in the room for 2100 MHz
Figure 12. Attenuation(dB) vs. distance from
transmitter in the room for 2450 MHz
Theresultsfromfiguresshowthattheempiric
almodificationtoFriisequationimprovesthepredictio
n of propagation and gives closer results to
measurement data. The differences between the
measured data and the models are caused by the
metallic book shelves, the boards on the walls and
other furniture as obstructions. It can easily be seen
that as the power is getting higher, the signal
strength is more deviating. Moreover, rise in
frequency is positively correlated with loss through
obstacles; in addition diffracted signals contribute
less to the received power. On the contrary, leading
to lower loss, the Fresnel region is limited
obstructed at higher frequencies. However, the
genuine path loss is counted on these opposing
mechanisms.
IV. CONCLUSİON
The results in our experiment mostly
comply with EM wave theory. The outcomes of the
project can be discussed as follows:
1-Free space measurements have shown
that transmitter must be placed high enough in
order to reduce and avoid earth effect on signal
strength. It can be also seen that measured values
converge to plane earth model values after a
distance and this threshold is determined by heights
of the transmitter, receiver and frequency of signal
[2].
2-Measurements along the corridor have
shown that again in order to reduce reflection from
the ground the transmitter must be placed high
enough, actually it is recommended to place the
transmitter antenna as close as possible to ceiling in
order to assure LOS propagation [24].
International Journal of Modern Research in Engineering and Technology (IJMRET)
www.ijmret.org Volume 3 Issue 2 ǁ February 2018.
w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 25
3-In different floors an analysis based on
electromagnetic (EM) wave theory would be very
complex, since the multipath phenomena cause
variations and emergence of signals in unexpected
points. However basically, the attenuation is due to
material separating the floors and adding the
attenuation due to wall transmission and free space
loss gives quite good results. In different floors
measurements for 900 and 2100 MHz
gavereasonableoutcomes, whereas 2450 MHz
signalstrengthsometimesincreaseduetoWiFitransmit
ters at eachfloornearmeasurement point. Moreover
the lightening spots on the ceiling effects the
attenuation with 15-30 dB magnitude.
4-Measurements in rooms have shown
that the effect of the furniture, electrical properties
of materials, dimensions of building structures
[25]. This indicates that diffractions and reflections
may vary the signal strength dramatically.
The theoretical or empirical results are not
the same as the measurements due to
environmental conditions. Moreover different
factors that affect measured signal level have also
been investigated. It is reported that the user’s head
and body affect the received signal level. In future
the measurement data may be used for
characterization studies of building materials,
investigation of compliance with electromagnetic
safety rules, design of local area networks and
communication systems. Furthermore a new
empirical prediction model based on the
measurement data can be developedandused in
ordertoimprovecoverage of WiFi, etc.
V. Acknowledgements
Thiswork is
supportedbyBogaziciUniversityResearch
Foundation projectcode: 9860 and by Marmara
University Research Project code: FEN-A-120514-
0157.
REFERENCES
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[13] N. J. Lasorte, I. B. Akunne, H. H. Refai, Invitroprotocol
to study the electromagnetic interaction of RFIDs and
infusion pumps. In: Asia Pacific International
Symposium on Electromagnetic Compatibility, April
12–16, Beijing, China, 2010, 1084–1087.
[14] S. Ishihara S, J. Higashiyama, T. Onishi, Y. Tarusawa,
andK. Nagase, Electromagnetic interference with
medical devices from third generation mobile phone
including LTE. In: 2014 International Symposium on
Electromagnetic Compatibility, Tokyo, Japan, 2014,
214–217.
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inside a neonates ICU. In: 20th IMEKO TC4
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w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 26
[18] H. Elgannas, I. Kostanic, OutdoortoIndoor propagation
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ExperimentalPropagationStudyfor 2G, 3G, and 4G Frequencies

  • 1. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 20 ExperimentalPropagationStudyfor 2G, 3G, and 4G Frequencies Fulya Callialp Kunter1,2 , Saban Selim Seker3 , Elif Surmeli3 , Osman Cerezci4 1 (ElectricalandElectronicsEngineeringDepartment, Marmara University, Turkey) 2 (ElectricalEngineeringDepartment, ChulalongkornUniversity, Thailand (on sabbaticalleave)) 3 (ElectricalandElectronicsEngineeringDepartment, BogaziciUniversity, Turkey) 4 (ElectricalandElectronicsEngineeringDepartment, Sakarya University, Turkey) ABSTRACT : Nowadays, there has been an increase and dependent items that affect the quality of the signals such as the properties of substances in the buildings, objects and humans’ movements, electronic equipment. In this study, the effects of electromagnetic interference on the functional usage of mobile communications are examined. The indoor and outdoor attenuation characteristics of 2G, 3G and 4G frequency bands are investigated. Field strength measurements are conducted in university campusopenarea, along a corridorfield in a fivestoreyuniversitybuilding, in different floors, and rooms, where normal incidence on plane boundary is of main concern. This study investigates multilayer model for building structures. The evaluation of measured values together with the simulated results is compared with literature outcomes. In addition, dependency with the frequency, power of the waves and existence of trees on the transmission path are also discussed. KEYWORDS -Attenuationcharacteristics, electromagneticpropagation, fieldstrengthmeasurement,transmissionpath. I. INTRODUCTION Thegreatsuccess of mobile communications encouraged the researchers to study, either statistical or theoretical, on the indoor radio propagation, which was shown to be very complex and dependent on variousfactors, whichcauseinterference, attenuationandfluctuations in signalstrength [1-7]. Investigation of indoor propagation characteristics cover many situations in which they differ in the properties of construction materials, moving individuals, furnishings, architectural configurations etc. Therefore in order to provide services with good coverage and efficiency, the characteristics of indoor propagation for mobile communication must be investigated in different environments and conditions. For instance in the healthcare domain, the increase in the use of cellular developments prompt the researchers concern about the interference problems. Many studies reveal that 2G/3G/4G LTE cellular phones exposures effects the function and operation of medical devices [8- 17]. In these publications they find out that the clear distinction between 2G , 3G and 4G cellular phones is that the peak power emitted by 3G and 4G cellular phones are much lower ( max. 1 W) compared to the corresponding value issued by the 2G phones. Propagationprediction has been an important subject for the design of mobile communications systems. In order to provide efficient and reliable coverage of services, understanding the factors that influence signal strength and determining the parameters of radio system is very important. ElgannasandKostanic [18] have studied the propagation characteristics for both indoors and outdoors at 850 MHz and 1900 MHz frequencies. The penetration loss of four different buildings are examined and concluded that building penetration loss may not be depend on the operating frequency. Evaluation and analysis of 3G network in Lagos, Nigeria has beenconductedbyAkinyemi et al. [19]. Receivedsignalcodepower, Ec/No service quality, speechqualityindex, transmittingpower and path loss are the parameters measured in the study. In 2016, RodriquezLarrad [20] analysisexploredthepenetration loss at normal incidence for the frequency range from 800 MHz up to 18 GHz for several modern constructions in comparison with an old building. From the measurement results, it is observed that the attenuation experienced in all the different scenarios is material dependent. A set of dedicatedmeasurementswereperformed along several corridors in shopping malls and modern and old constructions in order to characterize the
  • 2. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 21 different indoor propagation contributions. The attenuation from the indoor walls was found to present very small frequency dependence. Subsequent studies showed that not only the existence of floors or the distance between the receiver and transmitter but also the existence of obstacles, features of construction materials, architectural configurations and many other factors had significant influence the path loss [7]. For this reason path loss models [21] have been modified multiple times and propagation parameters have been improved according to measurement data. Hence approximate numerical approaches based on theory have been of interest. In particular, ray tracing, which is a nice method for calculating radio signal strength, propagation parameters in an indoor environment, is based on Fresnel equations and uniform/general theory of diffraction. Inyears, manydifferent ray- tracingapproacheshavebeendevelopedformodelingi ndoorwavepropagationandpenetration [3, 22]. Numerous studies include comparisons between the path losses from propagation measurements at various frequencies indoors and outdoors [5], however an extensive experimental propagation study on building structures for 2G, 3G and 4G frequencies have not been reported yet. This study presented in this paper describes detailed measurement conducted inside the university building and outside the building to characterize the propagation at 2G, 3G and 4G frequencies. This paper is organized as follows. The first step of the study addresses the locations where the experiments have been conducted. In the initial part of the study, the transmitter and the receiver configurations with the transmitter power is given for each setup areas at selected frequencies. Next section highlights the experiments which are conducted to provide the indoor and outdoor attenuation characteristics. In the conclusion, further analyses are given in details by means of simulations, and the future potential research directions that could help to extend the presented findings are introduced. II. EXPERİMANTALSETUPAREAS Each floor has 2.70 m height and 1.35 m concrete wall between floors. Transmitter was placed 2.4 m above the ground and receiver was held at 0.2 to 1.20 m above the floor. The ceiling has spot lightening and measurements were made close to the staircase. The measurements were performed outdoor and at different points in thecorridors, at differentfloorsanddifferentrooms in theBogaziciUniversity KB building. In each measurements, transmitter power was 2 W withpulsesignal, andthetransmitterfrequencywas900/2100/2450 MHz. Freespacemeasurementsweremade in BogaziciUniversity North Campus in front of Abtullah Kuran library. The transmitter was placed 1.50 m above the ground and the receiver was held at 1.30 m height during experiment. Receiver was moved along the straight path with 3m displacement at each measurement. The panel antenna was vertically polarized and the receiver was an isotropic three axis antenna. In the corridor, the transmitter was placed 1.20 m above the ground and the receiver was held at 1.2 m height during experiment. Through floors, the transmitter was placed 2.40 m facing the ceiling. Receiver was held at points that were in the direction transmitter propagation. Transmitter in the room measurements was placed on the desk and transmitter antenna 20 cm above the surface, 1.20 m above the ground. Thetransmittingantenna has 7±1 dBigainfor 900 MHz and 8 ±1 dBigainfor 2100 MHz and 2450 MHz. The transmitting antenna is a directional panel antenna which is vertically polarized and has dimensions 0.21 m x 0.18 m x 0.44 m. Thereceiverwiththree-axisantenna has gain 18.90 dBi, 13.8dBiand 15.5 dBifor 900 MHz, 2100 MHz and 2450 MHz respectively. It was held at 1.2 m height during measurements. III. EXPERİMENTALINVESTİGATİON 3.1 Freespacepropagationresults This model is based on Friisformula, whichgives the amount of power of an antenna which is received under ideal conditions from another antenna. This equation provides accurate results for far field, unobstructed free space and correct alignment and polarization of antennas. Plane earth model takes into account the near ground effects in propagation and loss due to reflection from earth and other propagation mechanisms are included. The parameters can be defined empirically from the best fit to data [23].
  • 3. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 22 Figure 1. Attenuation(dB) vs. distance from transmitter in open area for 900 MHz Figure 2. Attenuation(dB) vs. distance from transmitter in open area for 2100 MHz Figure 3. Attenuation(dB) vs. distancefromtransmitter in openareafor 2450 MHz It is clear from the results that the ground effect shows itself after a certain distance and dominates the free space attenuation. When, the distance is small enough, the reflected signal cannot contribute to the measured signal. Finally the movement of people also might have caused the deviations in signal temporarily. 3.2 Corridorattenuation Figure 4. Attenuation(dB) vs. distance from transmitter along the corridor for 900 MHz Figure 5. Attenuation(dB ) vs. distance from transmitter along the corridor for 2100 MHz
  • 4. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 23 Figure 6. Attenuation(dB) vs. distancefromtransmitteralongthecorridorfor 2450 MHz The results have shown that for the attenuation in corridors, the reflection from the floor affects the propagation after a certain distance which can be calculated from ground model. The deviations from theoretical and empirical results are due to the effect of opendoornearthetransmitter, thematerial of floor, theworkingWiFitransmitter on thewall. Moreover diffraction plays a role in saturation of signals after a certain distance from the transmitter. Hence the attenuation at the same distance is less than free space attenuation. 3.3 Floors EM waves impinge upon a plane boundary obliquely will be partially reflected back to first medium and partially transmitted (refracted) in the second medium. Boundary conditions determine the direction of propagation and the amplitudes of these waves. The path loss in terms of reflection and transmission coefficients is calculated for TE polarization [2]. Commonbuildingmaterialsare non- magnetic and non-ionised so that only the dielectric properties of building materials will be considered. Mostbuildingmaterialsshowlossydielectriccharacter istics. Hence the wave impedance and the reflection/transmission coefficients include imaginary parts. We have calculated these coefficients referring the permittivity studies of building construction materials. Moreoveraccordingtothisattenuationperwallvaluew ehavemodifiedtheFriisequationand in thefiguresbelowthevalueforFriisvaluesare not thepurefreespaceloss. It can be seen that the free space formula with wall loss may not be inadequate to predict attenuation, due to existing a lot of environmental factors that contribute to signal level. Figure 7. Attenuation(dB) vs. distance from transmitter on the floor for 900 MHz Figure 8. Attenuation(dB) vs. distance from transmitter on the floor for 2100 MHz Figure 9. Attenuation(dB) vs. distance from transmitter on the floor for 2450 MHz Measurements in different floors have shown that the effect of multipath components might affect the signal strength and coverage in the area strongly. Signals find new paths to propagate upper floors which cause less decrement through upper floors. Literature coincides with our results. ITU model is used for simulation. The results are quite similar with measurement data.
  • 5. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 24 ITU model for attenuation in indoor environment includes different parameters which are tabulated for different frequencies. The ITU formulas are stated in [24, 25]. It is importanttonotethatthetransmittingWiFidevices in eachfloorcausedgreatinterference effect and resulted in divergence from theoretical and empirical expected values. Moreover the ceiling material and lightening caused reflections and variations in signal strength. 3.4 Rooms WehavemodifiedtheFriisequationbyadding a wall loss component in the equation and the graphs are plotted according to these values. Hencethefriisvalues in thegraphsincludeattenuation by walls. Moreover the same formula for the corridors, the ITU model is used for simulating the data. Figure 10. Attenuation(dB) vs. distancefromtransmitter in theroomfor 900 MHz Figure 11. Attenuation(dB) vs. distance from transmitter in the room for 2100 MHz Figure 12. Attenuation(dB) vs. distance from transmitter in the room for 2450 MHz Theresultsfromfiguresshowthattheempiric almodificationtoFriisequationimprovesthepredictio n of propagation and gives closer results to measurement data. The differences between the measured data and the models are caused by the metallic book shelves, the boards on the walls and other furniture as obstructions. It can easily be seen that as the power is getting higher, the signal strength is more deviating. Moreover, rise in frequency is positively correlated with loss through obstacles; in addition diffracted signals contribute less to the received power. On the contrary, leading to lower loss, the Fresnel region is limited obstructed at higher frequencies. However, the genuine path loss is counted on these opposing mechanisms. IV. CONCLUSİON The results in our experiment mostly comply with EM wave theory. The outcomes of the project can be discussed as follows: 1-Free space measurements have shown that transmitter must be placed high enough in order to reduce and avoid earth effect on signal strength. It can be also seen that measured values converge to plane earth model values after a distance and this threshold is determined by heights of the transmitter, receiver and frequency of signal [2]. 2-Measurements along the corridor have shown that again in order to reduce reflection from the ground the transmitter must be placed high enough, actually it is recommended to place the transmitter antenna as close as possible to ceiling in order to assure LOS propagation [24].
  • 6. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 25 3-In different floors an analysis based on electromagnetic (EM) wave theory would be very complex, since the multipath phenomena cause variations and emergence of signals in unexpected points. However basically, the attenuation is due to material separating the floors and adding the attenuation due to wall transmission and free space loss gives quite good results. In different floors measurements for 900 and 2100 MHz gavereasonableoutcomes, whereas 2450 MHz signalstrengthsometimesincreaseduetoWiFitransmit ters at eachfloornearmeasurement point. Moreover the lightening spots on the ceiling effects the attenuation with 15-30 dB magnitude. 4-Measurements in rooms have shown that the effect of the furniture, electrical properties of materials, dimensions of building structures [25]. This indicates that diffractions and reflections may vary the signal strength dramatically. The theoretical or empirical results are not the same as the measurements due to environmental conditions. Moreover different factors that affect measured signal level have also been investigated. It is reported that the user’s head and body affect the received signal level. In future the measurement data may be used for characterization studies of building materials, investigation of compliance with electromagnetic safety rules, design of local area networks and communication systems. Furthermore a new empirical prediction model based on the measurement data can be developedandused in ordertoimprovecoverage of WiFi, etc. V. Acknowledgements Thiswork is supportedbyBogaziciUniversityResearch Foundation projectcode: 9860 and by Marmara University Research Project code: FEN-A-120514- 0157. REFERENCES [1] J.D. Parsons, TheMobile RadioPropagation Channel 2nd Edition (San Diego: Wiley, 2000). [2] H. L. Bertoni, RadioPropagationfor Modern Wireless Systems (San Diego: Wiley, 1999). [3] D. Molkdar, Review on radiopropagationintoandwithinbuildings, IEEE Proceedings H, 138 (1), 1991, 61-73. [4] R. J. C. Bultitude, Measurements, characterizationandmodeling of indoor 800/900 MHz radiochannelsfordigitalcommunications, IEEE Communication on Magnetics, 25(6), 1987,5-12. [5] J. M. Keenan, A. J. Motley, Personal communication radio coverage in buildings at 900 MHz and 1700 MHz, ElectronicsLetters, 24(12), 1988, 763 – 764. [6] D. C. Cox, 910 MHz urban mobile radio propagation: Multipath characteristics in New York City, IEEE Transactions on VehicularTechnology, 22(4), 1973, 104-110. [7] T. S. Rappaport, S. Y. Seidel, Path loss prediction in multi floored buildings at 914MHz. ElectronicsLetters, 27(15),1991, 1384-1387. [8] P. M. Mariappan, D. R. Raghavan, S. H. E. AbdelAleem, Effects of electromagneticinterference on the functional usage of medical equipment by 2G/3G/4G cellular phones: A review. CairoUniversity, Journal of Advanced Research, 7, 2016, 727-738. [9] G. Calcagnini, F. Censi, M. Floris, C. Pignalberi, R. Ricci, andG. Biancalna, Evaluation of electromagnetic interference of GSM mobile phones with pacemakers featuring remote monitoring functions. PacingClinicalElectrophysiology, 29 (4), 2006, 380–5. [10] L. M. Xideris, Understanding mobile phone EMI in thehospitalsetting (USA: Sprint Nexttel Corporation, 2007). [11] O. S. Pantchenko, S. J. Seidman, J. W. Guag, D. M. Witters, C. L. Sponberg, Electromagneticcompatibility of implantableneurostimulatorsto RFID emitters. BiomedicalEngineering Online, 10 (50), 2011, 1–10. [12] S. J. Seidman, andJ. W. Guag, Adhocelectromagneticcompatibility testing of non– implantable medical devices and radio frequency identification. BiomedicalEngineering Online, 12 (71), 2013, 1–10. [13] N. J. 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  • 7. International Journal of Modern Research in Engineering and Technology (IJMRET) www.ijmret.org Volume 3 Issue 2 ǁ February 2018. w w w . i j m r e t . o r g I S S N : 2 4 5 6 - 5 6 2 8 Page 26 [18] H. Elgannas, I. Kostanic, OutdoortoIndoor propagation characteristics of 850 MHz and 1900 MHz Bands in macro cellular environments. Proceedings of World Congress on Engineering and Computer Science WCECS 2017, Vol. 2, October 22 – 24, San Francisco, USA, 2014. [19] L. A. Akinyemi, N. T. Makanjuola, O. O. Shoewu,and F. O. Edeko, Evaluation andanalysis of 3G Network in Lagos Metropolis, Nigeria. International Transation on Electronicsand Computing EngineersSystem, 2 (3),2014, 81-87. [20] I. RodriguezLarrad, An empiricalstudy on radiopropagation in heterogeneous networks with focus on mobile broadband networks and small cell deployment. PhD. ThessisDissertationFaculty of EngineeringScience, Aalborg University, Denmark, 2016. [21] S. Rappaport TS. Wireless communicationsprinciplesandpractice, New York:PrenticeHall, 1996. [22] W. Honcharenk, H. L. Bertoni, J. L. Dailing, J. Qian, H. D. Yee, Mechanics governing UHF propagation on single floors in modern office buildings. IEEE Transactions on VehicularTechnology, 41(4), 1992, 496-504. [23] H. T. Anastassiu, S. Vougioukas, T. Fronimos, C. Regen, L. Petrou, andM. Zude, A computational model for path loss in wireless sensor networks in orchard environments. Sensors, 14, 2014, 5118-5135. [24] ITU-R Recommendation P.1238-8. 2015a. Propagation data and prediction methods for the planning of indoor radio communication systems and radio local area networks in the frequency range 300 MHz to 100 GHz. [25] ITU-R Recommendation P.2040-2. 2015b. Effects of buildingmaterialsandstructures on radiowavepropagationaboveabout 100 MHz.