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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
ISSN (Online): 2230-7893
www.IJCEM.org
IJCEM
www.ijcem.org
18
Transmission Characteristics and Performance Analysis
of Silica doped and Plastic Optical Fibers
in Optical Communication systems
Ahmed Nabih Zaki Rashed
Electronics and Electrical Communication Engineering Department,
Faculty of Electronic Engineering,
Menouf 32951, Egypt
Abstract
This paper has proposed the development of transmission
capacity and characteristics of the bit rates of local area
advanced optical communication networks over wide
range of the affecting parameters. Dispersion
characteristics in high-speed optical transmission systems
is deeply analyzed over a span of optical wavelengths from
1.3 m up to 1.65 m. Two different fiber structures for
dispersion management are investigated, where two types
of fabrication material link of single mode fiber made of
Germania doped Silica and plastic fibers are suggested. As
well as we have analyzed the soliton transmission
technique to be processed to handle both bit rate and
product either per link or per channel for cables of multi-
links. Two multiplexing techniques are applied, dense
wavelength division multiplexing (DWDM) and space
division multiplexing (SDM), where maximum number of
transmitted channels of 960 channels are processed to
handle the product of bit rate either per channel or per link
for cables of multi-links over wide range of the affecting
parameters. As well as dispersion characteristics and
dispersion management are deeply studied where two types
of optical fiber cable core materials are used. a new novel
technique of chromatic dispersion management in optical
single-mode fiber is introduced to facilitate the design of
DWDM performance in advanced optical communication
networks. The design parameters are: the relative
refractive index difference of the core and clad, ambient
temperature, and the percentage of germania doped in
silica fibers. The three design parameters are kept within
their technological limits of interest. The thermal effects of
the refractive-index of the fabrication core materials are
taken into account to present the effects on the
performance of optical fiber cable links.
Keywords: Plastic fibers, Short transmission distance, Silica
fibers, Optical communication systems, and Transmission bit
rates.
I. INTRODUCTION
Fiber optic transmission and communication are
technologies that are constantly growing and becoming
more modernized and increasingly being used in the
modern day industries [1]. However, dispersion,
absorption, and scattering are the three properties of
optical fibers that cause attenuation, or a marked decrease
in transmitted power, and therefore, have limited progress
in areas of high-speed transmission and signal efficiency
over long distances. Dispersion occurs when the light
traveling down a fiber optic cable “spreads out,” becomes
longer in wavelength and eventually dissipates. Two other
major mechanisms of attenuation in optical fibers are
absorption and scattering. However, new advances are
continually being made to combat these losses and
improve the reliability of fibers [2]. Attenuation, a
reduction in the transmitted power, has long been a
problem for the fiber optics community. However,
researchers have established three main sources of this
loss: absorption, scattering, and, though it is not commonly
studied in this category, dispersion [3]. High speed long
haul optical communication systems and networks undergo
two limitations namely spectral losses and dispersion. The
problem of dispersion has attracted attentions since two
decades. Since 1980, several techniques have been
proposed and applied to reduce such phenomenon which
severely reduces the transmitted bit-rate. The rapid
increase of transmission capacity need is requiring higher
speed optical communication system. However, the
upgrade of most installed system at third window to multi-
giga-bit rate is limited by the high linear chromatic
dispersion of the optical standard fiber deployed world
wide [4, 5]. In a 1310 nm wavelength window, standard
single mode fibers have minimum chromatic dispersion but
higher loss. Unfortunately, in this wavelength region the
standard single-mode fibers have a typical chromatic
dispersion of 15-20 ps/nm.km. The combined effects of
this dispersion and the laser chirp result in an intersymbol
interference that can cause a significant performance
degradation. One of the solutions is the use of dispersion-
shifted fiber (DSF) with zero-dispersion wavelength
around 1550 nm. However, this is not effective for
conventional fiber networks that are already installed with
the standard fibers. To upgrade existing networks based on
standard single mode 1310 nm optimized optical fibers,
several all optical dispersion compensation techniques
have been proposed [6]. Recent progress in optical fiber

IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
ISSN (Online): 2230-7893
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19
amplifier technology makes fiber dispersion the ultimate
limiting factor for high-speed long-distance optical fiber
transmission. Low chirp, high speed optical sources are
indispensable for long haul multigigabit per second optical
communication systems.
Traffic demand has been increasing steadily in the
last few years [7]. In order to support this increasing traffic
demand the optical links between the main cities, which
are typically terrestrial links with hundreds of kilometers
operating at 10 Gbit/sec per channel, have to be upgraded.
A solution for the upgrading of these links is to increase
the bit rate per channel to 40, 80 or even to 160 Gbit/s.
The major operators intend to use the already installed
cables to support these high speed systems, which is not
surprising, as the most cost effective solution usually
resides in upgrading the terminal equipment keeping the
link unchanged. Dense wavelength division multiplexing
(DWDM) is widely becoming accepted as a technology for
meeting growing bandwidth, and WDM systems beginning
to be deployed in both terrestrial and undersea
telecommunications links [8, 9]. As complexity of optical
dense wavelength division multiplexing (DWDM)
networks increases due to the large number of channels
involved, managing the large spectral variations in the
dispersion and gain becomes more difficult as the desired
spectral bandwidth increases. One approach is to
compensate the dispersion and power variations for each
channel periodically in the system. This necessarily
requires individual components for every channel in the
system, and becomes complex for large channel counts and
wide bandwidth [10, 11]. Dispersion managed soliton, now
being developed by a number of different groups, can
resolve the technical problems that in the past have
prevented the use of the soliton transmission format in
optical fiber communication systems. Given the rapid
progress being made by researchers, within two years an
internet backbone powered by these inherently stable and
robust nonlinear optical pulses will be a reality [12].
Optical solitons are stable nonlinear pulses formed in
optical fibers when the nonlinearity induced by the optical
intensity is sufficient to balance the dispersion of the fiber.
In an ideal lossless fiber, solitons would not distort in
either the time or frequency domains, regardless of the
distance over which they propagated. It is now widely
accepted that dispersion management (also known as
periodic dispersion compensation) is the key to realizing
the potential of optical solitons. A dispersion managed
fiber is made by alternating sections of positive and
negative dispersion fiber to create a transmission line with
high local dispersion and low total dispersion [13].
II. MODELING DESCRIPTION AND ANALYSIS
II. 1. Simplified attenuation model
II. 1.1. Silica-doped fibers attenuation model
Based on the models of [14], the spectral losses of
silica-doped fibers are cast as:
,IRUVSI dB/km (1)
Where ,003.0int lossrinsictheI dB/km, and (2)
,6675.0
04
T
TnscatteringRayleighS
dB/km (3)
Where we have assumed that the scattering loss is linearity
is related to the ambient temperature Τ and T0 is a
reference temperature (27 C), Δ and λ are the relative
refractive index difference and optical signal wavelength
respectively. The absorption losses α UV and α IR are [14]:
,101.1 9.40
04 egeUV dB/km (4)
,107
224
5
eIR dB/km (5)
Where ωge % is the weight percentage of germania, GeO2
added to optical silica fibers to improve its optical
transmission characteristics.
II.1.2. Plastic fibers attenuation model
Plastics, as all any organic materials, absorb light in
the ultraviolet spectrum region. The mechanism for the
absorption depends on the electronic transitions between
energy levels in molecular bonds of the material. Generally
the electronic transition absorption peaks appear at
wavelengths in the ultraviolet region, and their absorption
tails have an influence on the plastic optical fiber (POF)
transmission loss [15]. According to urbach’s rule, the
attenuation coefficient αe due to electronic transitions in
POF is given by [15]:
,8
exp1010.1 5
PMMAe dB/km (6)
Where λ is the optical signal wavelength of light in μm
and . In addition, there is another type of intrinsic loss,
caused by fluctuations in the density, and composition of
the material, which is known as Rayleigh scattering.. This
phenomenon gives the rise to scattering coefficient R that
is inversely proportional to the fourth power of the
wavelength, i.e., the shorter is λ the higher the losses are.
For POF, it is shown that R is given by [16].
,633.0
13
4
PMMAR dB/km (7)
Then the total losses of plastic optical fibers is given by:
4
5 633.013
8exp1010.1
PMMAtotal dB/km (8)
II. 2. Simplified dispersion model analysis
II. 2. 1. Silica-doped fiber dispersion model

IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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We can assume that the standard single mode optical
fiber cable is made of the silica-doped material which the
investigation of the spectral variations of the waveguide
refractive-index (n) require Sellemeier equation under the
form [19]:
26
2
25
24
2
23
22
2
212
1 1A
A
A
A
A
An
(9)
The Sellmeier equation coefficients for silica-doped cable
core material, as a function of temperature as [19]: A1=
10.6684293, A2= 0.03015165 x (T/T0)2, A3= 3.04344218
x 10-3
, A4= 1.1347511235 x (T/T0)2, A5= 1.54133408, A6=
1.104 x 103. Where T is the ambient temperature of the
material, °C, and T0 is the reference temperature and is
considered as 27 °C. The first differentiation of Eq. (9) w.
r. t yields:
,1
226
2
2265
224
2
2243
222
2
221
1
1
A
AA
A
AA
A
AA
nd
dn
(10)
Then the second differentiation of Eq. (9) w. r. t yields:
,3331
21
326
2
26
2265
324
2
24
2243
322
2
22
2221
121
2
d
dn
A
AAA
A
AAA
A
AAA
nd
nd
(11)
Also in the same way, the third differentiation of Eq. (9) w.
r. t yields:
,31212121
21
21
426
2
26
3265
424
2
24
3243
422
2
22
3221
131
3
d
nd
d
dn
A
AAA
A
AAA
A
AAA
nd
nd
(12)
Therefore, the total chromatic dispersion in standard single
mode fiber (SSMF) that limits the transmission bit rates in
system based DWDM communication can be calculated as
follows [20]:
kmnmnMML
D wdmdt .sec/,.
(13)
Where Mmd is the material dispersion coefficient in
nsec/nm.km, Mwd is the waveguide dispersion coefficient
in nsec/nm.km, Δτ is the total pulse broadening due to the
effect of total chromatic dispersion, Δ is the spectral
linewidth of the used optical source in nm, and L is the
fiber cable length in km. The material dispersion
coefficient is given as the following:
,2 2
12
31
3
21
2
d
nd
d
nd
cd
nd
cM s
md (14)
The waveguide dispersion coefficient is given by the
following expression:
,VFc
nnM
scladdingwd
(15)
The relative refractive-index difference Δn is given by the
following expression:
,1
1
n
nnn
cladding (16)
Where ncladding is the refractive-index of the cladding
material, n1 is the refractive-index of the silica-doped fiber
core material, s is the optical signal wavelength, F (V) is a
function of V number or normalized frequency. Based on
the work [21], they designed the function F (V) is a
function of V as follows:
,65.18.55.139.63.1 5432 VVVVVVF (17)
When they are employing V-number in the range of (0 V
1.15) yields the above expression. Moreover, we are
taking into account V-number as unity to emphasis single
mode fiber type. Equation (13) can be written in another
expression as:
sec,.. nLDt (18)
II. 2. 2. Plastic fiber dispersion model
The plastic cable core material which the
investigation of the spectral variations of the waveguide
refractive-index (n) require Sellemeier equation under the
form [22]:
26
2
25
24
2
23
22
2
212
2 1B
B
B
B
B
Bn
(19)
For the plastic fiber material, the coefficients of the
Sellmeier equation and refractive-index variation with
ambient temperature are given as follows [22]:
B1= 0.4963, B2= 0.6965 (T/T0), B3= 0.3223, B4= 0.718
(T/T0), B5= 0.1174, and B6= 9.237.
Then the first differentiation of Eq. (19) w. r. t yields:
,1
226
2
2265
224
2
2243
222
2
2221
2
2
B
BB
B
BB
B
BB
nd
dn
(20)
Then the second differentiation of Eq. (19) w. r. t yields:
,3331
21
326
2
26
2265
324
2
24
2243
322
2
22
2221
222
2
d
dn
B
BBB
B
BBB
B
BBB
nd
nd
(21)
The output pulse width from single mode plastic optical
fiber (POF) were taken into account both material and
profile dispersions, and thus modal dispersion is equal to
zero for single mode fibers [23].
2
1
1122
22
3
2
22
CnN
d
nd
cd
dn
cWmd (22)
21
221
23
2
2
2
c
nNP (23)

IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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Where the group index for the mode is given by:
d
dnnN 2
21 (24)
Then the total chromatic dispersion in single mode fibers
of POF is [23]:
,PWL
D mdt
nsec/nm.km (25)
Where Dt is the total chromatic dispersion coefficient in
nsec/nm.km, Δτ is the total pulse spreading due to
chromatic dispersion in nsec, Wmd is the material
dispersion coefficient in nsec/nm.km, P is the profile
dispersion coefficient in nsec/nm.km, and Δn is the relative
refractive index difference defined as follows:
,2 2
2
222
n
nnn
cladding
(26)
Where n2 is the cable core refractive index, and ncladding is
the core cladding refractive index. Where C1 is a constant
and is given by the following expression:
,2
21
C (27)
Where α is the index exponent, and ε is the profile
dispersion parameter, and is given by the following:
,2
1
2
d
nd
nN
n
(28)
II. 3. Soliton transmission technique
In an ideal lossless medium, the soliton would have also
the same amplitude during propagation. The balance
between the non-linearity effects from one side and the
dispersion effects from the other side creates a solitary
wave [24]. The dispersion of a medium (in the absence of
non-linearity) makes the various frequency components
propagate at different velocities; while the non-linearity (in
the absence of dispersion) causes the pulse energy to be
continually injected, via harmonic generation, into higher
frequency modes. That is to say, the dispersion effect
results in broadening the pulse while the non-linearity
tends to sharpen it. Based on the analysis of [25], the peak
power is given by:
,4
1
2
3
2
nl
efftpeak
n
AD
cP (29)
Where nnl is the nonlinear Kerr coefficient in m2/watt, Aeff
is the effective area in µm2, c is the speed of light in m/sec,
is the optical signal wavelength in µm and Dt is the total
chromatic dispersion coefficient in nsec/nm.km. Then the
pulse intensity width in nsec is given by:
cnP
AD
nlpeak
efft
2
3
4
(30)
Based on the analysis of [26-27], the minimum separation
for a stream of soliton pulses to carry useful data is
Tmin=10 Δτ, this is due to the pulse broadening. Therefore,
the transmission bit rate per channel will be:
,1.01
min
TBrsc Gbit/sec/channel (31)
III. SIMULATION RESULTS AND PERFORMANCE
ANALYSIS
We have investigated the basic Soliton transmission
technique to transmit 960 channels based on dense
wavelength division multiplexing (DWDM), in the interval
of 1.3 up to 1.65 μm wavelengths. For the reality from the
points of view of the spectral dependences of the different
fiber characteristics [26], we have employed also the space
division multiplexing (SDM) with total number of links,
NL= {4, 5, 6,………………….12} Links. With order of
the link, JS={1, 2, 3, 4,
5,…...........…………………….….NL}.
The initial optical signal wavelength is given by the
following relation:
ss JSlinkinitial 13.1/ (32)
Also, the optical signal wavelength span 1.3 ≤ λ, μm ≤
1.65 is divided into intervals equal to:
,/35.00 LL
if
L
NNN
μm/Link. (33)
Where Δλ = λf – λi = 1.65 – 1.3 = 0.35 μm, the suffix “f”
denotes the final value and “i” denotes the initial value,
λave is the average wavelength over the link of order JS, JS
is the order of the link where 1 ≤ JS ≤ NL, NL is the total
number of links, λsi is the initial wavelength at the link JS,
and λsf is the final wavelength at the link JS. Where the
link spacing is given by the following expression:
,L
LN
(34)
Therefore, the channel spacing s is given by:
,Lch
sNN
(35)
Where Nch is the number of transmitted channels per link,
and NL is the number of links in the fiber cable core. The
average optical signal wavelength λave over a link of order
JS can be:
,15.0 0 JSave (36)

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The temperature range varies from 25 °C to 45 °C. The
following set of the numerical data of system model design
are employed to obtain transmission bit rate and product
per channel as follows: 1.3 ≤ λsi, optical signal wavelength,
μm ≤ 1.65, NL: total number of links up to 12 links,
spectral linewidth of the optical source, Δs =0.1 nm,
Effective area, Aefff= 85 µm2, 2 ≤ Fiber cable length, L,
Km ≤ 10, 0.0 ≤ percentage of germania doped in silica
fibers, x ≤ 0.2, 0.05 ≤ ΔnPMMA, relative refractive-index
difference ≤ 0.07, 0.006 ≤ Δnsilica-doped, relative refractive-
index difference for silica-doped ≤ 0.008, 4 ≤ Ps, optical
signal power, mwatt ≤ 30, NT: total number of transmitted
channels up to 960 channels. At the set of controlling
parameters {optical signal wavelength λs, ambient
temperature and number of links in the fiber cable core
NL}, both the effective performance of plastic, and
germania-doped silica fibers are processed based on the
transmission bit rate-distance product as follows:
LBP rsrs , Gbit.km/sec (37)
The transmitted bit-rate and product per channel is also a
special criterion for comparison for different fiber cable
materials of plastic and silica-doped fibers. Based on
equations analysis and the assumed set of the affecting and
operating parameters. Also, based on the clarified
variations in Figs. (1-23), the following facts are assured:
i) In the series of Figs. (1, 2) has demonstrated that the
ambient temperature increases, the transmission bit
rate per channel decreases for both silica-doped and
plastic fibers at the constant number of links. As well
as number of links increases, the transmission bit rate
per channel also increases at the constant ambient
temperature.
ii) Figs. (3, 4) have demonstrated that relative
refractive-index difference decreases, the
transmission bit rate per channel increases for both
silica-doped and plastic fibers at the constant
number of links. As well as number of links
increases, the transmission bit rate per channel also
increases at the constant relative refractive-index
difference.
iii) Figs. (5, 6) have demonstrated that as the
number of links increases, the total spectral loss
decreases for both silica-doped and plastic fibers at
the constant relative refractive-index difference.
Moreover as the relative refractive-index difference
decreases, the total spectral loss also decreases at
the constant number of links in the fiber cable core.
iv) Fig. 7 has assured that as ambient
temperature increases, this leads to decrease in
transmission bit rates per channel. As well as
germanium dopant increases, this results in
increasing of transmission bit rates per channel for
silica-doped fibers.
v) In the series of Figs. (8, 9) has assured that
the number of links increases; the transmission bit
rate per channel also increases for both silica-doped
and plastic fibers at the constant relative refractive-
index difference. As well as relative refractive-
index difference decreases, the transmission bit rate
per channel increases at the constant number of
links in the fiber cable core.
vi) Figs. (10, 11) have proved that the number
of links increases, the bit rate-distance product per
channel also increases for both silica-doped and
plastic fibers at the constant relative refractive-
index difference. Moreover as the relative
refractive-index difference decreases, the bit rate-
distance product per channel increases at the
constant number of links in the fiber cable core.
vii) In the series of Figs. (12, 13) has assured
that the number of links increases, the transmission
bit rate per channel also increases for both silica-
doped and plastic fibers at the constant ambient
temperature. But as the ambient temperature
increases, the transmission bit rate per channel
decreases at the constant number of links in the
fiber cable core.
viii) Figs. (14, 15) have demonstrated that the
number of links increases, the bit rate-distance
product per channel also increases for both silica-
doped and plastic fibers at the constant ambient
temperature. As well as the ambient temperature
increases, the bit rate-distance product per channel
decreases at the constant number of links in the
fiber cable core.
ix) In the series of Figs. (16, 17) has
demonstrated that the transmission distance
increases, the transmission bit rate per channel
decreases for both silica-doped and plastic fibers at
the constant relative refractive-index difference. But
as the relative refractive-index difference increases,
the transmission bit rate per channel decreases at the
constant transmission distance.
x) Figs. (18, 19) have assured that the number
of links increases, the bit rate-distance product per
channel also increases for both silica-doped and
plastic fibers at the constant transmission distance.
As well as the transmission distance increases, the
bit rate-distance product per channel also increases
at the constant number of links in the fiber cable
core.

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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
ISSN (Online): 2230-7893
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
ISSN (Online): 2230-7893
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
ISSN (Online): 2230-7893
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IJCEM International Journal of Computational Engineering & Management, Vol. 14, October 2011
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IV. CONCLUSIONS
In a summary, we have presented a new novel
transmission characteristics of silica and plastic optical
fibers within soliton transmission for reducing
propagation problems in local area optical
communication networks. It is evident that the decreased
of both ambient temperature and relative refractive-index
difference, and then the higher transmission bit rate and
bit rate-distance product per transmitted channel across
silica-doped and plastic fibers. We have observed that
the higher performance for bit rates transmission per
transmitted channel of silica-doped fiber than plastic
fiber. As well as we have presented the higher total
dispersion and total spectral losses of plastic fibers than
silica-doped fibers. The constant of both relative
refractive-index difference, ambient temperature, and the
increased the transmission distance and then the
increased bit rate-distance product per transmitted
channel of silica-doped fibers than plastic fibers. As well
as the increased percentage of germanium doped in silica
fibers, the decreased total dispersion and total spectral
losses, and then the increased transmission bit rates per
channel in silica-doped fibers. Therefore we can say that
the lowest total dispersion and total losses of silica-
doped fibers, make these fibers as the best candidate
media for long haul optical transmission in local area
optical communication networks.

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AUTHOR’s PROFILE
Dr. Ahmed Nabih Zaki Rashed was born
in Menouf city, Menoufia State, Egypt
country in 23 July, 1976. Received the
B.Sc., M.Sc., and Ph.D. scientific degrees
in the Electronics and Electrical
Communications Engineering Department
from Faculty of Electronic Engineering,
Menoufia University in 1999, 2005, and
2010 respectively. Currently, his job
carrier is a scientific lecturer in Electronics
and Electrical Communications
Engineering Department, Faculty of
Electronic Engineering, Menoufia
university, Menouf. Postal Menouf city
code: 32951, EGYPT.
His scientific master science thesis has focused on polymer
fibers in optical access communication systems. Moreover his
scientific Ph. D. thesis has focused on recent applications in
linear or nonlinear passive or active in optical networks. His
interesting research mainly focuses on transmission capacity, a
data rate product and long transmission distances of passive
and active optical communication networks, wireless
communication, radio over fiber communication systems, and
optical network security and management. He has published
many high scientific research papers in high quality and
technical international journals in the field of advanced
communication systems, optoelectronic devices, and passive
optical access communication networks. His areas of interest
and experience in optical communication systems, advanced
optical communication networks, wireless optical access
networks, analog communication systems, optical filters and
Sensors, digital communication systems, optoelectronics
devices, and advanced material science, network management
systems, multimedia data base, network security, encryption
and optical access computing systems. As well as he is
editorial board member in high academic scientific
International research Journals. Moreover he is a reviewer
member in high impact scientific research international
journals in the field of electronics, electrical communication
systems, optoelectronics, information technology and advanced
optical communication systems and networks. His personal
electronic mail ID (E-mail:[email protected]).