Atmosphere 1
Atmosphere 1
2020; aop
Sanmukh Kaur*
a maximum loss of signal up to 25 dB/km while fog may NRZ pulse generator and AM modulator are the compo-
result in the much higher attenuation of up to 100 dB/km in nents of transmitting end whereas PIN photo detector,
the link [14]. Analysis of fog is thus given more priority low pass filter (LPF) and bit error rate (BER) analyzer are
before setting up a FSO link as compared to any other the components at receiving end. The FSO terrestrial
external parameter. model first converts the logical signal to be transmitted
Many researchers have discussed the different im- into electrical signal by using NRZ pulse generator. This
pairments of terrestrial FSO communication along with signal along with CW laser output is applied to the AM
their causes and possible mitigation techniques [7, 15, 16]. modulator which converts the electrical signal into an
M.A. Esmail et al. studied and examined the attenuation intensity modulated optical signal. This resultant signal
modeling of fog attenuation and predicted that FSO will in the form of light is then transmitted by propagating it
have preferred market for 5G network applications with cell into FSO link. The received signal at the other end is in
size of lesser than 1 km diameter [17]. In [18], fog and smoke turn advanced towards the photo detector which converts
attenuation is predicted by proposing a wavelength it into electrical form. BER analyzer at the receiver side
dependent empirical model at visible and near infrared has been used to analyze the quality of the received
(NIR) wavelengths. T. Esmail et al. proposed the compli- signal.
mentary solution of operation of hybrid FSO/mmWave
links as fog has no particular effect on mmWave which are
susceptible to oxygen absorption and heavy rain condi-
tions [14]. In [19] performance of the link has been analyzed
3 Degradation in the performance
using Kim’s model by calculating average attenuation due of the FSO system as a result of
to fog in two winter months.
Delhi is a megacity and second most populated city of
fog induced attenuation
India. The National capital region of Delhi, is a home to
Variation in atmospheric conditions is one of the major
many multinational corporation and giant software devel-
challenges faced by an FSO link. The atmospheric factors
opment companies. The city needs to have better means of
further depend upon time and geographical location of the
communication, which are not affected by weather condi-
particular region. FSO link can experience difference in
tions of the region [20].
attenuation depending upon the location of its setup and
In this work, real time visibility data for three specific
the time at which atmosphere is used as a medium. The
months (January, February and December) of seven
main cause of loss in a FSO link may be atmospheric FOG
consecutive years starting from 2013 to 2019 has been
conditions. The reason why this happens is due to the fact
collected from Delhi, Safdarjung area for calculation of fog
that fog not only absorbs but also scatters light which re-
attenuation. Attenuation data has been obtained from
sults in huge loss of data during transmission in foggy
visibility calculations by applying Beer Lamberts law along
weather. Powerful lasers along with specialized proced-
with Kim and Kruse mathematical models. Received signal
ures have been required to increase the efficiency of
quality has been analyzed as a function of transmitted
transmission.
power, data rate and transmission range considering three
Attenuation is calculated using Beer Lamberts equa-
transmission windows of 850, 1300 and 1550 nm. Further,
tion given as:
the statistical results obtained for two mathematical
−q
models have been analyzed to compare the performance of 3.912 λ
α fog (1)
two attenuation models. V(km) 550
Table : Calculation of q using Kim and Kruse models. communication systems operate in the wavelengths span
of 800–1600 nm [6], three wavelength windows of 850,
Kim model Kruse model 1300 and 1550 nm which are considered nearly transparent
. for V > km . for V > km have been chosen for the analysis. Other fixed parameters
. for km > V > km . for km < V < km have been listed in Table 2.
. + . v for km > V > km . V/ for V < km
We have referred the fog data of Delhi, Safdarjung re-
V–. for . km < V < km
gion, describing the visibility range in kilometers for each
for V < . km
day of a year for all regions [21]. From the available data,
average visibility for the three possible fog months
(January, February and December) of seven consecutive
Table : System specifications. years from 2013 to 2019 have been calculated. Tables 3–5
depict the visibility and corresponding attenuation calcu-
Parameter Value lated by using Beer Lamberts law and Kim model for the
Power −– dBm wavelengths of 1550, 1300 and 850 nm respectively.
Wavelength , and nm For the calculated values of attenuations in dB/km as
Bit rate – Gbps depicted in Tables 3–5 at three transmission wavelengths,
Range – km
received signal quality has been analyzed as a function of
Tx aperture diameter . m
Rx aperture diameter . m
transmitted power and propagation range in Figure 2–7.
Modulation scheme NRZ Quality of the received signal has been analyzed at
Beam divergence mrad 850 nm wavelength in Figures 2 and 3 respectively. As seen
Additional losses dB in Figure 2, Q-factor at the receiver decreases with increase
Photodetector PIN in propagation distance from 0 to 4 km. Best value of the
Dark current nA
Q-factor is achieved in the February month in which
transmission upto a range of 3500 m is possible with
acceptable value of BER at the receiver.
4 Results It can be observed form Figure 3 that in the months of
December and January, with corresponding average at-
For improving overall performance and effectiveness of a tenuations of 2.50 and 2.79 dB/km respectively, a power of
FSO link, system parameters are required be optimized for more than 2 dBm should be transmitted as compared to
the location where link efficiency may get reduced as a power in the month of February for the similar quality of
result of fog in the atmosphere. Simulation and analysis of the received signal.
the performance of the system has been accomplished The plots have been obtained as function of trans-
using Optisystem-16 simulation package. For analyzing the mission range and power in Figures 4 and 5 respectively at
performance of the system, some of the internal parameters a wavelength of 1300 nm. It can be observed that the effect
have been set as fixed values while others have been kept of fog induced attenuation loss has been more in the month
as variables. As most of the commercially available FSO of January than the other months. As shown in Figure 4,
4 S. Kaur: Performance analysis of FSO link under the effect of fog
Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km)
Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km)
Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km) Visibility (km) Attenuation (dB\km)
transmission upto a range of 3000 km is possible at this For the calculated values of attenuations in dB/km as
wavelength even for the months of December and January. depicted in Tables 3 at a wavelength of 1550 nm, received
It can be observed form Figure 5 that in the case of signal quality has been analyzed as a function of propa-
operation at 1300 nm transmission wavelength, a power of gation range and transmitted power in Figures 6 and 7
more than 1 dBm is required to be transmitted in the respectively. Similar results have been achieved as in the
December and January months as compared to power used case of operation at 1300 nm wavelength.
in the month of February for the similar quality of the Next we plot the graphs of received signal quality as a
received signal. Results obtained at 1300 nm are better as function of propagation range for different input bit rates
compared to those achieved at the wavelength of 850 nm. ranging from 1 to 10 Gb/s considering three transmission
S. Kaur: Performance analysis of FSO link under the effect of fog 5
Figure 3: Quality factor versus power for 850 nm wavelength. Figure 6: Quality factor versus range at 1550 nm wavelength.
5 Conclusion
In this work, a comprehensive survey of attenuation
caused by different fog conditions of the Delhi, Safdar-
jung region has been reported. From the available fog
data, average visibility and corresponding attenuation for
the three possible fog months (January, February and
December) of seven consecutive years from 2013 to 2019
have been calculated. For the calculated values of atten-
uations at three transmission wavelengths of 850, 1300
and 1550 nm, received signal quality has been analyzed as
Figure 10: Quality factor versus range at different data rates a function of transmitted power, propagation range and
considering 850 nm wavelength. data rate. It has been observed that the effect of fog
induced attenuation is more in the month of January fol-
yearly order for each of the three wavelengths as shown in lowed by December and February months thus requiring
Tables 6–12. an increase in transmitted power in the range of 1–2 dBm
The real time and long term observed visibility data for maintaining the same quality of the signal at the
enables us for estimation of specific value of attenua- receiver.
tion and helps us in determining the availability of the We observe that in the case of operation at 1300 and
link in the region for the complete year as well as whole 1550 nm wavelength a similar quality of the received signal
period. is obtained for a given value of transmission range and
S. Kaur: Performance analysis of FSO link under the effect of fog 7
Table : Estimated attenuation statistics of combined data of years from to .
Figure 11: Mean, median and range statistical parameters at three Figure 12: Mean, median and range statistical parameters at three
different wavelengths using Kruse Model. different wavelengths using Kim Model.
data rate. The operation at 850 nm wavelength does not dictate that Kim model reports higher values mean, median
result in a similar performance and maximum transmission and range statistical parameters for a given wavelength
range achieved in the case is also less than 2500 m. and Kruse model outperforms in terms of quality of the
Results from descriptive statistical analysis of refereed signal received for a given value of range and transmitted
visibility data and corresponding optical attenuation power.
S. Kaur: Performance analysis of FSO link under the effect of fog 9
Author contribution: All the authors have accepted Processing and Integrated Networks (SPIN). Noida, India; 2019,
responsibility for the entire content of this submitted pp. 552–7. https://doi.org/10.1109/SPIN.2019.8711577.
11. Kaur S, Raza SZA, Khanna J. Analysis of performance of FSO link
manuscript and approved submission.
during the months of monsoon in Delhi, India. In: Jain L,
Research funding: None declared. Tsihrintzis G, Balas V, Sharma D, editors. Data communication
Conflict of interest statement: The authors declare no and networks. Advances in intelligent systems and computing,
conflicts of interest regarding this article. vol 1049. Singapore: Springer; 2020.
12. Rani M, Bhatti H, Singh V. Analysis of atmospheric turbulence on
free space optical system using homotopy perturbation method. J
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