The document describes the implementation of a fiber optic communication system using a developed computer program. It discusses the key components of a fiber optic system including the transmitter, fiber optic cable, and receiver. The transmitter converts an electrical input signal into an optical signal by modulating the output of a light source, such as a laser or LED. The fiber optic cable then carries this optical signal to the receiver. The computer program allows for modeling each of these components, including analyzing different transmitter circuit designs and light sources. It provides input and output forms to design an optical transmitter and model its performance parameters like rise time and data rate.
Telecommunication Systems: How is Technology Change Creating New Opportunitie...Jeffrey Funk
These slides discuss how improvements in the data rates of wireline and wireless systems have and continue to occur. For wireline systems, these improvements are driven by the use of better glass fiber, lasers, amplifiers, and wavelength division multiplexing and there appears to be few limits to these improvements. For wireless systems, these improvements are primarily driven by the use of better ICs. As long as these improvements in ICs continue to occur, improvements in data rates along with improvements in the use of the frequency spectrum continue to be possible. Improvements in both wireless and wireline systems will also make new forms of Internet content possible. Furthermore, these improvements in ICs along with the improvements in MEMS that are discussed in a related set of slides are gradually making cognitive radio economically feasible. All of these improvements are creating various kinds of entrepreneurial opportunities. These slides are based on a forthcoming book entitled “Technology Change and the Rise of New Industries and they are the sixth session in a course entitled “Analyzing Hi-Tech Opportunities.”
optical fiber communications give a way to communicate with our daily life basis.here is a sort of applications of fiber optic in our different field.so i am actually gonna give a sort of different applications of fiber optics
Fiber optic systems are important telecommunication
infrastructure for world-wide broadband networks. Wide
bandwidth signal transmission with low delay is a key
requirement in present day applications. Optical fibers provide
enormous and unsurpassed transmission bandwidth with
negligible latency, and are now the transmission medium of
choice for long distance and high data rate transmission in
telecommunication networks.
Telecommunication Systems: How is Technology Change Creating New Opportunitie...Jeffrey Funk
These slides discuss how improvements in the data rates of wireline and wireless systems have and continue to occur. For wireline systems, these improvements are driven by the use of better glass fiber, lasers, amplifiers, and wavelength division multiplexing and there appears to be few limits to these improvements. For wireless systems, these improvements are primarily driven by the use of better ICs. As long as these improvements in ICs continue to occur, improvements in data rates along with improvements in the use of the frequency spectrum continue to be possible. Improvements in both wireless and wireline systems will also make new forms of Internet content possible. Furthermore, these improvements in ICs along with the improvements in MEMS that are discussed in a related set of slides are gradually making cognitive radio economically feasible. All of these improvements are creating various kinds of entrepreneurial opportunities. These slides are based on a forthcoming book entitled “Technology Change and the Rise of New Industries and they are the sixth session in a course entitled “Analyzing Hi-Tech Opportunities.”
optical fiber communications give a way to communicate with our daily life basis.here is a sort of applications of fiber optic in our different field.so i am actually gonna give a sort of different applications of fiber optics
Fiber optic systems are important telecommunication
infrastructure for world-wide broadband networks. Wide
bandwidth signal transmission with low delay is a key
requirement in present day applications. Optical fibers provide
enormous and unsurpassed transmission bandwidth with
negligible latency, and are now the transmission medium of
choice for long distance and high data rate transmission in
telecommunication networks.
New Frontiers in Optical Communication Systems and NetworksBehnam Shariati
The need for achieving more flexibility, higher capacity, programmability and embedded cognition at reasonable extra cost in future optical communication networks, is one of the immediate consequences of the overwhelming developments of real-time person-to-person and machine-to-machine interactions and online services. These features are expected to be introduced in the coming years with the emergence of:
• Tactile Internet as a set-horizon to be met in the 5th generation of mobile networks,
• Internet of Things based applications to build smart cities and brand-new style of living, and
• Giant data farms to store and process the ever-increasing generated data.
Since this progress impacts different tiers of the Internet backbone—and by now optical-based solutions have penetrated all of them—new optical networking solutions must be introduced in every tier/network segment to keep with the pace of these new developments. This presentation provides the recent trends and new horizons in that respect.
Garth naar - optical fibre communication telecommunicationsgarthnaar
Fibre optic communication has revolutionised the telecommunications industry. It has also made its presence widely felt within the data networking community as well. Using fibre optic cable, optical communications have enabled telecommunications links to be made over much greater distances and with much lower levels of loss in the transmission medium and possibly most important of all, fiber optical communications has enabled much higher data rates to be accommodated.
it's gives the full description about satellite . it's provide the knowledge about wireless communication.and it's gives the comparison between oft and satellite.ti's gives the basic knowledge about optical fibre
This presentation covers:
Concepts of optical fiber communication in detail
Total internal reflection
inter-modulation, dispersion effects in OFC
Impairments in OFC
Advantages in OFC
Different types of optical cables
OFC network elements : splitters, splices, connectors, lasers
optical sources and optical detectors
Optical Link Budget
Why Fiber Optics Should be Preferred for Internet Connectionmecarlhooper
Nowadays, people are looking for better ways to enhance their internet connectivity for faster speed and reliable connection. One of the most sought-after internet connection mediums is the use of fiber optics or fiber optical cable. The fiber optical cables have brought a revolution in the world of internet connectivity. There are many advantages of using fiber optics. Go through the slide to know why fiber optics should be preferred for internet connection.
The following ppt gives overview about Optical Communication and the underlying principle with the general overview of all the contents for optical communication
What is VLC
Visible light & Spectrum
VLC process
-Transmitter
-Receiver
-Modulation
VLC characteristics
Comparison with RF & IR
Demerits of VLC
Applications
Over view of Transmission Technologies & Optical Fiber Communication Naveen Jakhar, I.T.S
Topics covered in this presentation:
GENERAL: History of Transmission Systems
Optical fiber communication,
History of OFC
Advantages
Applications
ITU-T Recommendations
Fiber optic principle
Windows of operation
Trends in OF Communication
Fiber classification
OF Cable Types
Optical Fiber transmission impairments
Optical Sources and Detectors
Optical Link Characterization and Design
An optical fiber (or optical fibre) is a flexible, transparent fiber made of high quality extruded glass (silica) or plastic, slightly thicker than a human hair. It can function as a waveguide, or “light pipe”, to transmit light between the two ends of the fiber.
In this paper, the terms chained ternary semigroup, cancellable clement , cancellative ternary
semigroup, A-regular element, π- regular element, π- invertible element, noetherian ternary semigroup are
introduced. It is proved that in a commutative chained ternary semigroup T, i) if P is a prime ideal of T and
x ∉ P then n
n 1
x PT
= P for all odd natural numbers n . ii) T is a semiprimary ternary semigroup. iii) If a ε T is
a semisimple element of T, then < a > w ≠ . iv) If < a >w = 𝜙 for all a ε T, then T has no semisimple
elements. v) T has no regular elements, then for any a ε T, < a >w = 𝜙 or < a >w is a prime ideal. vi) If T is a
commutative chained cancellative ternary semigroup then for every non π-invertible element a, < a >w is either
empty or a prime ideal of T. Further it is proved that if T is a chained ternary semigroup with T\T3= { x } for
some x ε T, then i) T\ { x } is an ideal of T. ii) T = xT1T1 = T1xT1 = T1T1x and T 3 = xTT = TxT = TTx is the
unique maximal ideal of T. iii) If a T and a < x >w then a = xn for some odd natural number n > 1.
iv) T\ < x >w = { x, x 3, x5, . . . . .} or T\< x >w ={x, x 3, . . . , xr} for some odd natural number r. v) If a T
and a < x >w then a = xr for some odd natural number r or a = xn sn tn and sn < x >w or tn < x >w
for every odd natural number n. vi) If T contains cancellable elements then x is cancellable element and < x >w
is either empty or a prime ideal of T. It is also prove that, in a commutative chained ternary semigroup T,
T is archemedian ternary semigroup without idempotent elements if and only if < a >w = for every a T.
Further it is proved that if T is a commutative chained ternary semigroup containing cancellable elements and
< a >w = for every a T , then T is a cancellative ternary semigroup. It is proved that if T is a noetherian
ternary semigroup containing proper ideals then T has a maximal ideal. Finally it is proved that if T is a
commutative ternary semigroup such that T = < x > for some x T, then the following are equivalent.
1) T = {x, x2, x3, ............} is infinite. 2) T is a noetherian cancellative ternary semigroup with x xTT.
3) T is a noetherian cancellative ternary semigroup without idempotents. 4) < a >w = for all a T.
5) < x >w = . and if T is a commutative chained ternary semigroup with T ≠ T 3 , then the following are
equivalent. (1) T={x, x 3, x5, . . . . . . .}, where x T\ T 3 (2) T is Noetherian cancellative ternary semigroup
without idempotents. (3) < a >w = for all a T. Finally, it is proved that If T is a commutative chained
noetherian cancellative ternary semigroup without regular elements, then < a >w = for all a T.
New Frontiers in Optical Communication Systems and NetworksBehnam Shariati
The need for achieving more flexibility, higher capacity, programmability and embedded cognition at reasonable extra cost in future optical communication networks, is one of the immediate consequences of the overwhelming developments of real-time person-to-person and machine-to-machine interactions and online services. These features are expected to be introduced in the coming years with the emergence of:
• Tactile Internet as a set-horizon to be met in the 5th generation of mobile networks,
• Internet of Things based applications to build smart cities and brand-new style of living, and
• Giant data farms to store and process the ever-increasing generated data.
Since this progress impacts different tiers of the Internet backbone—and by now optical-based solutions have penetrated all of them—new optical networking solutions must be introduced in every tier/network segment to keep with the pace of these new developments. This presentation provides the recent trends and new horizons in that respect.
Garth naar - optical fibre communication telecommunicationsgarthnaar
Fibre optic communication has revolutionised the telecommunications industry. It has also made its presence widely felt within the data networking community as well. Using fibre optic cable, optical communications have enabled telecommunications links to be made over much greater distances and with much lower levels of loss in the transmission medium and possibly most important of all, fiber optical communications has enabled much higher data rates to be accommodated.
it's gives the full description about satellite . it's provide the knowledge about wireless communication.and it's gives the comparison between oft and satellite.ti's gives the basic knowledge about optical fibre
This presentation covers:
Concepts of optical fiber communication in detail
Total internal reflection
inter-modulation, dispersion effects in OFC
Impairments in OFC
Advantages in OFC
Different types of optical cables
OFC network elements : splitters, splices, connectors, lasers
optical sources and optical detectors
Optical Link Budget
Why Fiber Optics Should be Preferred for Internet Connectionmecarlhooper
Nowadays, people are looking for better ways to enhance their internet connectivity for faster speed and reliable connection. One of the most sought-after internet connection mediums is the use of fiber optics or fiber optical cable. The fiber optical cables have brought a revolution in the world of internet connectivity. There are many advantages of using fiber optics. Go through the slide to know why fiber optics should be preferred for internet connection.
The following ppt gives overview about Optical Communication and the underlying principle with the general overview of all the contents for optical communication
What is VLC
Visible light & Spectrum
VLC process
-Transmitter
-Receiver
-Modulation
VLC characteristics
Comparison with RF & IR
Demerits of VLC
Applications
Over view of Transmission Technologies & Optical Fiber Communication Naveen Jakhar, I.T.S
Topics covered in this presentation:
GENERAL: History of Transmission Systems
Optical fiber communication,
History of OFC
Advantages
Applications
ITU-T Recommendations
Fiber optic principle
Windows of operation
Trends in OF Communication
Fiber classification
OF Cable Types
Optical Fiber transmission impairments
Optical Sources and Detectors
Optical Link Characterization and Design
An optical fiber (or optical fibre) is a flexible, transparent fiber made of high quality extruded glass (silica) or plastic, slightly thicker than a human hair. It can function as a waveguide, or “light pipe”, to transmit light between the two ends of the fiber.
In this paper, the terms chained ternary semigroup, cancellable clement , cancellative ternary
semigroup, A-regular element, π- regular element, π- invertible element, noetherian ternary semigroup are
introduced. It is proved that in a commutative chained ternary semigroup T, i) if P is a prime ideal of T and
x ∉ P then n
n 1
x PT
= P for all odd natural numbers n . ii) T is a semiprimary ternary semigroup. iii) If a ε T is
a semisimple element of T, then < a > w ≠ . iv) If < a >w = 𝜙 for all a ε T, then T has no semisimple
elements. v) T has no regular elements, then for any a ε T, < a >w = 𝜙 or < a >w is a prime ideal. vi) If T is a
commutative chained cancellative ternary semigroup then for every non π-invertible element a, < a >w is either
empty or a prime ideal of T. Further it is proved that if T is a chained ternary semigroup with T\T3= { x } for
some x ε T, then i) T\ { x } is an ideal of T. ii) T = xT1T1 = T1xT1 = T1T1x and T 3 = xTT = TxT = TTx is the
unique maximal ideal of T. iii) If a T and a < x >w then a = xn for some odd natural number n > 1.
iv) T\ < x >w = { x, x 3, x5, . . . . .} or T\< x >w ={x, x 3, . . . , xr} for some odd natural number r. v) If a T
and a < x >w then a = xr for some odd natural number r or a = xn sn tn and sn < x >w or tn < x >w
for every odd natural number n. vi) If T contains cancellable elements then x is cancellable element and < x >w
is either empty or a prime ideal of T. It is also prove that, in a commutative chained ternary semigroup T,
T is archemedian ternary semigroup without idempotent elements if and only if < a >w = for every a T.
Further it is proved that if T is a commutative chained ternary semigroup containing cancellable elements and
< a >w = for every a T , then T is a cancellative ternary semigroup. It is proved that if T is a noetherian
ternary semigroup containing proper ideals then T has a maximal ideal. Finally it is proved that if T is a
commutative ternary semigroup such that T = < x > for some x T, then the following are equivalent.
1) T = {x, x2, x3, ............} is infinite. 2) T is a noetherian cancellative ternary semigroup with x xTT.
3) T is a noetherian cancellative ternary semigroup without idempotents. 4) < a >w = for all a T.
5) < x >w = . and if T is a commutative chained ternary semigroup with T ≠ T 3 , then the following are
equivalent. (1) T={x, x 3, x5, . . . . . . .}, where x T\ T 3 (2) T is Noetherian cancellative ternary semigroup
without idempotents. (3) < a >w = for all a T. Finally, it is proved that If T is a commutative chained
noetherian cancellative ternary semigroup without regular elements, then < a >w = for all a T.
Studies on the mycorrhiza of Geodorum densiflorum (Lam.) Schltr. from Western...IOSR Journals
Mycorrhizal association of Geodorum densiflorum (Lam.) Schltr. an endangered terrestrial orchid
in the Western Ghats of Karnataka has been investigated. Anatomical studies of the fully grown orchid have
revealed the presence of the fungal coils in the cells of the pseudobulb and in the cortical region of the root,
indicating the continued association of the fungus with the plant. The degree of colonisation was extensive in the
root . Pure culture of the fungus associated with the underground parts of the plant was obtained and identified
as Rhizoctonia solani, a common mycorrhiza forming species with many orchids. The rhizosphere soil analysis
of the nutrients was carried out which revealed the decreased level of phosphate when compared to nitrogen
and potassium. Nutrient analysis supports the fact that mycorrhizal association occurs under the deficiency of
soil nutrients like phosphate.
Studies On The Effectiveness of Mixed Diet of Garden Egg, Groundnut And Garli...IOSR Journals
The use of medicinal plants as food supplements and in the treatment of specific diseases dates back to antiquity. Age old anecdotal reports from many cultures strongly suggests a role for diet of plant origin in preventive and therapeutic medicine. Anaemia remains a major public-health problem especially in developing countries. This study aimed at investigating the antianaemic potentials of combined diet of garlic (Allium sativum), garden egg (Solanum melongena) and groundnut (Arachis hypogaea).Twenty five wistar rats of both sexes weighing 160-200g were divided equally into five groups. Group 1 served as the non-anaemic control and fed with normal rat chow. Groups 2, 3, 4 and 5 were induced with anaemia by oral administration of phenylhydrazine (PHZ) given at 50mg/kgBW. Group 2 served as anaemic control, fed with normal rat chow; Group 3 were fed with 20g (75%ww) of garlic, garden egg and groundnut in the ratio of 1:1:1 with normal rat chow; Group 4 fed with 10g of garden egg (50%ww) in the ratio 1:1 with normal rat chow and Group 5 fed with 10g of ground, nut (50%ww) in the ratio 1:1 with normal rat chow. Animals were sacrificed at the end of fourteen days of dietary feeding using chloroform vapour with blood collected at the left ventricle to test for haematological parameters such as red blood cell (RBC) count, white blood cell (WBC) count, hemoglobin concentration (Hb) and packed cell volume (PCV). Results showed that RBC, WBC, Hb and PCV values increased in all the experimental as compared to anaemic control with a significant (P<0.05) in WBC values of groups 3 and 4 as compared to the anaemic control. This suggests a consumption of garlic, garden egg and groundnut will moderately improve anaemic condition.
Determination of load transfer in reinforced concrete solid slabs by finite e...IOSR Journals
According to the ACI building code, the concrete slab can be divided into two types depending on
the ratio of the long side to the short side. Regarding the results of the ratio, the concrete slab can be divided as
one-way and two-way slabs. The main objective of this paper is to study the stress or moments distribution in
solid slab panel in its two directions and compare with ACI code assumption that the load is transferred mainly
in short direction and most of the load is transferred in one direction only if the ratio of the longer span to the
shorter span is greater than one. This will be discussed by analyzing one panel of solid slab using the computer
software SAP2000. Two types of panels will be used; the first one a panel that is supported simply on its four
sides and the second panel is supported only by four pin supports and beams. This paper shows that the gravity
load on the slab is transferred to long and short direction. This means that one-way concrete solid slab doesn't
exist and all concrete solid slabs work as a two-way concrete slab.
Natural Radioactivity of Feed Coal and Its by-products in Barapukuria 2×125 M...IOSR Journals
The detection and measurement of radionuclides in feed coal, bottom ash and fly ash samples collected from Barapukuria 2×125 MW coal-fired thermal power plant in Dinajpur district of Bangladesh, have been performed by gamma ray spectrometry technique. The average activity concentrations of 226Ra, 232Th and 40K in feed coal, bottom ash and fly ash samples were 10.46±5.24, 23.50±10.88 and 232.23±131.94 Bqkg-1; 56.91±2.77, 69.22±4.26 and 189.79±64.65 Bqkg-1; and 70.91±2.90, 115.26±5.79 and 205.53±65.56 Bqkg-1; respectively. These measured values were compared with other literature values. The calculated absorbed dose rates were found higher than the worldwide average values for both the bottom ash and fly ash samples. Moreover, the radium equivalent activity in all the samples was less than 370 Bqkg-1 and external hazard indices were less than unity (except in FA-1). Therefore, there is no probability of immediate health effect on workers and public due to natural radioactivity present in the samples.
IOSR Journal of Humanities and Social Science is an International Journal edited by International Organization of Scientific Research (IOSR).The Journal provides a common forum where all aspects of humanities and social sciences are presented. IOSR-JHSS publishes original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, technical notes etc.
IOSR Journal of Mathematics(IOSR-JM) is an open access international journal that provides rapid publication (within a month) of articles in all areas of mathemetics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mathematics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Optical communication, also known as optical telecommunication, is communication at a distance using light to carry information. It can be performed visually or by using electronic devices. The earliest basic forms of optical communication date back several millennia, while the earliest electrical device created to do so was the photophone, invented in 1880.
An optical communication system uses a transmitter, which encodes a message into an optical signal, a channel, which carries the signal to its destination, and a receiver, which reproduces the message from the received optical signal. When electronic equipment is not employed the 'receiver' is a person visually observing and interpreting a signal, which may be either simple (such as the presence of a beacon fire) or complex (such as lights using color codes or flashed in a Morse code sequence).
Modern communication relies on optical networking systems using optical fiber, optical amplifiers, lasers, switches, routers, and other related technologies. Free-space optical communication use lasers to transmit signals in space, while terrestrial forms are naturally limited by geography and weather. This article provides a basic introduction to different forms of optical communication.
Visual forms
Visual techniques such as smoke signals, beacon fires, hydraulic telegraphs, ship flags and semaphore lines were the earliest forms of optical communication.[1][2][3][4] Hydraulic telegraph semaphores date back to the 4th century BCE Greece. Distress flares are still used by mariners in emergencies, while lighthouses and navigation lights are used to communicate navigation hazards.
The heliograph uses a mirror to reflect sunlight to a distant observer.[5] When a signaler tilts the mirror to reflect sunlight, the distant observer sees flashes of light that can be used to transmit a prearranged signaling code. Naval ships often use signal lamps and Morse code in a similar way.
Aircraft pilots often use visual approach slope indicator (VASI) projected light systems to land safely, especially at night. Military aircraft landing on an aircraft carrier use a similar system to land correctly on a carrier deck. The coloured light system communicates the aircraft's height relative to a standard landing glideslope. As well, airport control towers still use Aldis lamps to transmit instructions to aircraft whose radios have failed.
FUTURE TRENDS IN FIBER OPTICS COMMUNICATIONIJCI JOURNAL
Fiber optic systems are vital media transmission foundation for overall broadband systems. Wide data transfer capacity (bandwidth) signal transmission with low delay is a key prerequisite in present day applications. Optical fiber give broad and incomparable transmission transfer speed with insignificant expectations, and are currently the transmission medium of decision for long separation and high information rate transmission in media transmission systems. This paper gives a review of fiber optic communication system, including their key advances, and furthermore talks about their mechanical pattern towards the next generation.
Optical Wireless Communication (OWC) has attracted the researchers as an alternative broadband technology for wireless communication. In OWC optical beams are used to transport data through atmosphere or even vacuum. We have proposed an OWC model and analyze the transmission performance of OW channel for indoor/ outdoor application. The performance has been judged on the basis of key parameters like BER and OSNR. A theoretical model has also been presented and validated by the simulation results. The proposed OWC channel was simulated in Optisystem which is a powerful tool of Optical communication System
Integrated Optical Wireless Network For Next Generation Wireless SystemsCSCJournals
Next generation wireless networks need to support broadband wireless services at significantly reduced cost. The existing wireless systems can hardly provide transmission capacity of the order of few Mbps. However, millimeter waves and optical fiber can provide data capacity of the order of Gbps and Tbps respectively. Hence the requirements of broadband wireless system can be achieved through the integration of optical fiber and millimeter wireless systems. We suggest modified millimeter wireless system, with optical fiber as feeder network. Simulations have been carried out for AWGN and optical fiber channels using MATLAB code, so as to compare their individual performance. When compared it is observed that the performance of multimode optical fiber (MMOF) link even for distance of 80 KM is better than that of the AWGN channel with SNR of 50 dB and above. Hence, an integrated fiber radio network is an excellent cost effective media for higher data rate (>100Mbps).
—Fiber Optics and Copper wires are the two
prominent communication links used in modern
communication and play a great role. A lot of articles have
been written comparing these two technologies. Each of this
communication links has its own advantages and disadvantages
over the other. In this paper, both fiber optics and copper are
evaluated and compared regarding their advantages and
disadvantages based on bandwidth, cost, weight, size and
flexibility, signal loss, information capacity, safety and
immunity .In today’s modern-world communication demand,
having an understanding of how these interconnects and
interfaces devices is critical to successful system design.
Comprehensive investigation of coherent optical OFDM-RoF employing 16QAM exte...IJECEIAES
Given the growing need for long haul transmission that requires a high rate of data, the orthogonal frequency division multiplexing scheme (OFDM), is regarded as a technique with high potentials for high-capacity optical networks. OFDM transmits over both optical and wireless channels, with the data distributed over a huge amount of the subcarrier, and the data is distributed over a huge number of subcarriers. OFDM achieves RF signal for a long-haul transmitting by utilizing Radio over Fiber (RoF) system, which is known to produce higher orthogonality of the OFDM modulated signal designed for the wireless network. RoF systems comprise of heterogeneous networks designed through the use of wireless and optical links. The aim of this paper is to carry out an investigation of the performance of the external modulation in RoF links, while analyzing the shortcomings caused by the various elements of the optical system. The Mach–Zehnder modulator (MZM) can be applied in external modulation, and exhibits a more robust performance when implemented with the OFDM modulation technique.
This paper deals with different loss mechanisms within the single mode fiber (SMF) in optical fiber communication. A number of mechanisms are responsible for the signal attenuation within optical fibers. As the optical signal propagates over long stretch of fiber, it becomes attenuated because of absorption,
scattering, fiber bends by material impurities, and other effects. The transmission using high bandwidth
can handle vast amounts of information, which can be further improved by reduction in fiber losses,
increase in data rates and distances, and using appropriate operating wavelength in optical fiber communication. The recent development in the area of fiber optic communication as well as the advances in different fiber types and their properties such as attenuation or loss and bandwidth are also discussed in this paper. The performance improvement of the proposed different loss, such as Rayleigh scattering, Stimulated Brillouin Scattering (SBS), Stimulated Raman Scattering (SRS), and bending loss within the various loss mechanisms in fiber optic communication is shown through simulations.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 3 Ver. IV (May. – Jun. 2016), PP 122-142
www.iosrjournals.org
DOI: 10.9790/1676-110304122142 www.iosrjournals.org 122 | Page
Implementation of Fiber Optic Communication System Using
Developed Computer Program
Adnan Affandi and Othman AL-Rusaini
Dept. of Elect.& Comp. Eng., Faculty of Eng./ King Abdul Aziz University Jeddah, KSA
Abstract: Fiber optic systems have recently received a great deal of attention and they are used now as a
preferred transmission medium in current communication systems because they offer great information carrying
capacity over longer repeater less distances at costs lower than conventional copper-wire system. Any fiber
optic communication system consists of three parts, transmitter, fiber optic cable and receiver. In this paper
each part is implemented into computer program. Also in this paper we have discussed the recent developments
in the field of fiber optic communications.
Keywords: Fiber optic, Transmitter, Receiver.
I. Introduction
The ever increasing demand for communication services requires communication systems of large
information carrying capacities and because of the inherent potentialof enormous bandwidth offered by light
work began for a means of make use of light-waves for communication purposes.
A great interest in communication at the optical frequencies was created in 1960 with the advent of the laser,
which made available a coherent optical source. Since optical frequencies are on the order of 5 x 1014
Hz (see
Figure 1), the laser has a theoretical information capacity exceeding, that of microwave systems by a factor of
105
, that is approximately equal to 10 million TV channels [1].
With the potential of such wide-band transmission capabilities in mind, a number of experiments using
atmospheric optical channels were carried out in the early 1960s. These experiments showed the feasibility of
modulating a coherent optical carrier wave at very high frequencies. However the high installation expense that
would be required, the tremendous costs that would be incurred to develop all necessary components, and the
limitations imposed on the atmospheric channel by rain, fog, snow, and dust make such extremely high-speed
systems economically unattractive in view of present demands for communication channel capacity.
Nevertheless, numerous developments of free space optical channel systems operating at base-band frequencies
are in progress for earth to space communications. Concurrent with the work on atmospheric optical channels
were the investigations of optical fibers, since they can provide a much more reliable and versatile optical
channel than the atmosphere. Initially, the extremely large losses of more than 1000 dB/km observed in the best
optical fibers made them appear impractical. In 1970 Kapron.Keck.andMarurer of the Coming Glass Works
fabricated a fiber having 20-dB/km attenuation proving that the high losses were a result of impurities in the
fiber material [2].
Figure 1.Electromagnetic Spectrum.
The first generation of optical fiber links operated in the 0.8-0.9 μm wavelength band, since in this
region the fibers made at that time exhibited a local minimum in the attenuation curve, and optical sources and
photo-detectors operating at these wavelengths were available. Later, fiber manufactures became able to
fabricate optical wave-guides with very low losses at the 1.1 to 1.6 μm region by reducing the concentrations of
the hydroxyl ions and metallic ion impurities in the fiber material. This spectral bandwidth is usually referred to
as the long-wavelength region. Increased interest thus developed at 1.3 μm wavelength since this is the region of
minimum signal distortion in pure silica. Further development and research are in progress to realize the use of
new types of fiber at 3 to 5 μm wavelength band which expected to have attenuations ofless than 0.01 dB/km.
Communication using an optical carrier wave guided using a glass fiber has a number of extremely
attractive features:
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1. Extremely wide system bandwidth.
2. Small size and weight.
3. Immunity to electromagnetic interference and crosstalk.
4. Signal security.
5. Low signal attenuation.
6. Unlimited resources.
7. Low cost.
8. Safety.
From the above-mentioned features of using optical fiber link as a transmitted media, it is proven that it
is the best communication link. The following sections review the different components that constitute the
optical fiber communication system, namely the optical transmitter,the optical fiber links and the optical
receiver.
II. Fiber Optic Communication System
Anyfiber optic communication system consists of three components: Transmitter,Fiber-optic Cable,
and Receiver as illustrated in Figure 2.
The optical transmitter converts the electrical input signal, representing the information to be
transmitted, into an optical signal by modulating the output of the optical source using one of two methods; by
varying the source drive current or by varying the light intensity at the output of the light source. The fiber-optic
cable is now responsible to carry this light signal to the receiver end which in turn demodulate this light signal
into its original transmitted form [3].
Fiber optic system is almost configured to accept signals in a digital form,because the numerous
advantages offered by using digital techniques over analog techniques.
Input
Signal
Output
Source-to-Fiber
Interface
Fiber Optic Cable
Transmitter
Receiver
Light
Source
Coder or
Converter
Amplifier
Light
Detector
Fiber-to-light
Interface
Shaper Decoder
Figure 2.Fiber optic communication system
III. Optical Transmitter
The transmitter converts the input electric signal into an optical signal. As shown in Figure 2
transmitter consists of coder or converter, light source and sourceto fiber interface. The information at input is
converted into digital signals by coder or converter circuit (analog to digital converter (ADC)).Depend on digital
pulse light source turns ON/OFF very rapidly, in this way digital pulse is converted to equivalent light pulse.
Source to fiber interface is a mechanical interface to couple the light source into the fiber optic cable [4].
A suitable source for an optical communications system must meet certain specifications such as,
emission at certain wavelength at which fiber has low transmission loss, ease of modulation, sufficient
ruggedness, efficient conversion of prime power to light coupled into the fiber, ease of coupling the source
output to the fiber, and other more subtle requirements.
Nowadays, two optical sources meet most of the requirements listed above. These
are the semiconductor light-emitting diode (LED) and the semiconductor injection laser diode (ILD). The LED
and IDL are both solid state semiconductor devices, which can be fabricated from various semiconductor
material systems, which allows the device designer to select the designed wavelength of emission. The devices
fabricated in the gallium aluminum arsenide material system can emit in the range of wavelengths between 0.8
to 0.9 μm while devices fabricated in the indium gallium arsenide phosphide material system can emit in the
range of wavelengths between 1.0 and 1.6 μm. Both LED's and IDL's can be modulated by varying the electrical
current used to power the devices (direct modulation). LED's can achieve a direct modulation rate of 20 MHz to
beyond 1 GHz (depending on the materials, the device design, and tradeoffs against other parameters), while
3. Implementation of Fiber Optic Communication System Using Developed Computer Program
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IDL' s can achieve a rate of 5 to 10 GHz. The spectral width of an LED is relatively large, which limits its range
of applications. The spectral width of a laser can be very small (a single frequency of emission) depending upon
the device design.
3.1LED and Laser Performance Comparison
The Lasers and LEDs have similar operating wavelengths; therefore, matching wavelength to
waveguide is similar for both devices. Drive currents are not similar; lasers require bias currents and large peak
currents as compared to LEDs. One of the most important parameters is spectral width; LEDs exhibit a
magnitude larger figure. Beam-widths of lasers are very small compared to LEDs, and power output is high;
therefore, laser power density is very high [4].
The large bandwidth is a big advantage of lasers over LEDs. Lasers have at least one magnitude greater
bandwidth [4]. LEDs are useful for short-range communications where the distance is less than 10km. They
have useful bandwidth of 250 MHz.
Another important advantage of lasers over LEDs is that, lasers have much moreoutput power than
LEDs; they launch about 50 to 200 more power into the waveguide and about 40% or greater if the source area
of the LED is greater than the fiber, which is the usual case.
In the other side, laser sources have some disadvantages compared to the LEDs source. One of the
greatest disadvantages of lasers is the temperature effect. Such effects become a serious problem for some
application such as military applications.
Construction techniques for heterojunction lasers are the same as for LEDs with the exception to tighter
tolerance requirements. The high performance of lasers is due tothese requirements. These factors affect cost;
therefore, a cost-performance trade-off exists.
The lifetime of LEDs is about a magnitude greater than that of lasers. Lasers exhibit more effects that
will cause failure, such as crystal strain and cavity problem.
3.2Optical Transmitter Design
Transmitter
Transmitter Type Drive and
Modulating Circuit
Optical Transmitter
LED
Driver
LED
Transmitter
LED
Light source
Q3
Current Source
Darlington Pair
Current Source
AnalogDigital
Figure 3. General Flowchart of the Fiber Optics System Transmitter
The transmitter design passes through three stages as shown above in Figure 3. The first stage is to
define the type of the transmitter either analog or digital as well as choosing the right specification, which meets
the output requirements such as risetime, bit rate, and output power. The program implementing this stage
allows the designer to enter the transmitter data or call it from the database.
The second stage of transmitter design is to analyze the drive and modulating circuit of the light source.
In fact there are more than one drive and modulating circuit for both laser and LED sources. But, in this
program, only one circuit for LED light source is chosen to be analyzed; see Figure 4. Other circuits are
somehow similar to one we have analyzed here. Laser light source drive and modulating circuits are more
complex because the temperature dependence of laser threshold and higher modulation speeds; at which lasers
are typically used.
The third stage of transmitter design is to analyze the LED transmitter and LED drives circuits. The
program provides the ability to analyze two chosen circuits as shown in Figure 5 and Figure 6 respectively.
4. Implementation of Fiber Optic Communication System Using Developed Computer Program
DOI: 10.9790/1676-110304122142 www.iosrjournals.org 125 | Page
Figure 4. LED light source driving circuit
Figure 5. LED Transmitter
Figure 6.LED drive circuit
In the first stage:
Once the type of transmitter is selected, the program uses the following equations to compute the
output risetime, bit rate and power:
𝑟𝑖𝑠𝑒𝑡𝑖𝑚𝑒 = 𝑇𝑆𝑃 ∗ 𝑙𝑛 1 −
𝐼
𝐼𝑡
𝑏𝑖𝑡𝑟𝑎𝑡𝑒 =
0.5
𝑟𝑖𝑠𝑒𝑡𝑖𝑚𝑒
𝑝𝑜𝑤𝑒𝑟 = 𝑉𝑇 ∗ 𝑙𝑛
𝐼
𝐼𝑜
+ 1 ∗ 𝐼
𝐿𝑎𝑢𝑛𝑐 𝑃𝑜𝑤𝑒𝑟 = 𝑁𝐴2
∗ 𝑃𝑜𝑤𝑒𝑟
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Where, TSP : is the spontaneous recombination time
I : is the forward current
Ith : is the threshold current
VT : is the thermal voltage (Vt= K.T/Q)
K: is Boltzmann constant
T: temperature in KO
Q: electronic charge
Io : is the reverse bias current
NA : Numerical Aperture
Figure 7 shows the input form of analog transmitter while Figure 9 shows the input form of digital
transmitter. The input form in both Figures gives a description for every input parameter as well as giving the
unit of the parameter. The designer has two options for data entering. He could input the data manually or call it
from the database. Once all failed are filled with information, the designer could execute the program. The
output form of the analog transmitter design is shown in Figure 8 while Figure 10 shows the output form of
digital transmitter design.
Figure 7. Analog Transmitter Input Form
Figure 8.Analog Transmitter Output Form
Figure 9. Digital transmitter input form
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Figure 10.Digital transmitter output form
In the second stage:
The LED driving circuit shown in Figure 4 is analyzed; the circuit is divided to three parts:
Darlington Pair Source
Q3 Current Source
Light Source LED
The input form for every part of the circuit requests the designer to input values of some circuit
components, and then the output voltage and current of every part are computed. Figure 11 through Figure 14
show the forms for all parts of the circuit, which include the required input data values and the result output.
Figure 11.Darlington Pair form
Equations used fordarlington pair source as follows:
𝐼9 =
𝑉𝑐𝑐 + 𝑉𝐷3 + 𝑉𝐷4
𝑅13 + 𝑅14
𝑉1 = 𝑉𝑐𝑐 − 𝐼9 𝑅13
𝐼7 =
𝑉1 − 𝑉𝐵𝐸 𝑄5 − 𝑉𝐵𝐸(𝑄4)
𝑅10 + 𝑅11
Ignoring base current of Q4,
𝐼6 = 𝐼7 =
𝑉1 − 𝑉𝐵𝐸 𝑄5 − 𝑉𝐵𝐸(𝑄4)
𝑅10 + 𝑅11
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Figure 12. Q3 current Source form
Equations used forQ3 current source as follows:
𝐼9 =
𝑉𝑐𝑐 + 𝑉𝐷3 + 𝑉𝐷4
𝑅13 + 𝑅14
Ignoring base current of Q3,
𝐼2 =
𝑉𝑐𝑐
𝑅6 + 𝑅7
𝐼1 = 𝐼2 =
𝑉𝑐𝑐
𝑅6 + 𝑅7
Then the voltage at the base of Q3 is
𝑉2 = 𝑉𝑐𝑐 − 𝐼1 𝑅7
It is possible then to calculate the current I3 passing through the emitter of Q3,
𝐼3 =
𝑉2 − 𝑉𝐵𝐸 𝑄3
𝑅8 + 𝑅9
The current L4 passing through the collector of Q3 approximately equals to I3,
𝐼4 = 𝐼3 =
𝑉𝑐𝑐 −
𝑉𝑐𝑐
𝑅6+𝑅7
𝑅7 − 𝑉𝐵𝐸 𝑄3
𝑅8 + 𝑅9
Figure 13. Light Source LED (ON State) form
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Equations used forlight source LED (ONState) as follows:
If a high logic at the input of the line receiver is received, the line receiver is negatively coupled to Q1
to switch it OFF. At the same time the high logic is fed through to Q7 which will be turned ON. Q7 will then
drive Q6 to ON state brining down the common emitter junction voltage causing Q2 to be completely switched
OFF. The current I6 will be completely drawn through the only path of Q6. Therefore,
𝐼8 = 𝐼6 =
𝑉𝑐𝑐 −
𝑉𝑐𝑐 − 𝑉 𝐷3−𝑉 𝐷4
𝑅13+𝑅14
𝑅13 − 𝑉𝐵𝐸 𝑄5 − 𝑉𝐵𝐸 𝑄4
𝑅10 + 𝑅11
𝐼4 =
𝑉𝑐𝑐 −
𝑉𝑐𝑐
𝑅6+𝑅7
𝑅7 − 𝑉𝐵𝐸 𝑄3
𝑅8 + 𝑅9
𝐼5 = 𝐼4 + 𝐼8
Therefore,
𝐼𝐿𝐸𝐷(𝑂𝑁) =
𝑉𝑐𝑐 −
𝑉𝑐𝑐
𝑅6+𝑅7
𝑅7 − 𝑉𝐵𝐸 𝑄3
𝑅8 + 𝑅9
+
𝑉𝑐𝑐 −
𝑉𝑐𝑐 − 𝑉 𝐷3−𝑉 𝐷4
𝑅13+𝑅14
𝑅13 − 𝑉𝐵𝐸 𝑄5 − 𝑉𝐵𝐸 𝑄4
𝑅10 + 𝑅11
Figure 14. Light Source LED (Off State) form
Equations used forlight source LED (Off State) as follows:
On the other state, receiving zero logic at the input will drive the circuit in the opposite manner, that is,
Q1 is turned ON driving Q2 also ON, Q7 will be OFF and as a result Q6 will be turned OFF. The current I6 drawn
by the Darlington pair source will be routed through Q2. Therefore, the only current passing through the LED is
the current of Q3, namely I4. Then,
𝐼5 = 𝐼4
Because I8 = 0, then
𝐼𝐿𝐸𝐷(𝑂𝐹𝐹) =
𝑉𝑐𝑐 −
𝑉𝑐𝑐
𝑅6+𝑅7
𝑅7 − 𝑉𝐵𝐸 𝑄3
𝑅8 + 𝑅9
The current passing through the LED alternates between two values, either the summation of I4 and I6,
or I4 alone depends upon the input state.After making these calculations, the program asks the user if the output
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result of the design meets the required specification, if yes, the user is able then to save the design to a file
otherwise the program refreshes all input parameters allowing the user to reenter a new values.
In the third stage:
The LED transmitter circuit is shown in Figure 5, the output form including the required input values
are shown in Figure 15. LED driver circuit is shown in Figure 6, the output form including the required input
values are shown in Figure 16.
Figure 15. LED transmitter form
Equations used in this LED transmitter as follows:
𝑅3 =
𝑅4
𝐴 𝑉 − 1
𝑉0 = 𝑉𝑅𝐸𝐹 ∗ 𝐴 𝑉
𝑅1 =
𝑉0 − 𝑉𝑐𝑐
𝐼1
𝐼 𝐵 =
𝐼𝑐
𝛽
𝐼 𝐸 = 𝐼 𝐵 + 𝐼𝑐
𝑅2 =
𝑉0 − 𝑉𝐵𝐸
𝐼 𝐸
Figure 16. LED driver form
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Equations used in this LED driver as follows:
𝐼1 =
𝑉𝑐𝑐 − 𝑉1
𝑅1
𝐼2 = 𝐼3 + 𝐼1
𝐼 𝐵 =
𝐼𝑐
𝛽
𝑉2 = 𝑉1 ∗ 𝑅2 ∗ 𝐼2
𝑉3 = 𝑉2 ∗ 𝑅3 ∗ 𝐼2
IV. Fiber Optic Cables
The fiber optic is the medium, which guides the light from the transmitter to the receiver. The fiber
cable is composed of single or multiple waveguides sheathed in a protective jacketing material; this jacketing is
also multilayer. However, the waveguide is responsible for the optical transmission characteristics of the cable.
Jacketing material and a protective coating shield the waveguides from environmental effects and add
mechanical strength.
Fibers allow relatively loss-free data transfer over distances that may eventually range from a few
meters to hundreds or thousands ofkilometers. So, fiber opticsare being extensively used in applications like
local area networks where a large volume of data is required to be transmitted over a number of terminals
located in a geographically small area. Such network will be free from external interference and will offer
higher data rates. They will work reliably even in a hostile environment which may be due to electromagnetic
interference (EMI), electrostatic discharges, corrosive atmosphere, etc. An additional advantage will be the
absence of an unauthorized tapping of data from lines.
Most fiber opticsare made of glass. Glass offers the lowest achievable loss and dispersion, whereas
waveguide made of plastic are characterized by loss and dispersion that are frequently higher by one or more
orders of magnitude [5].
4.1Types of Fiber optic cable
Fiber optic cable can be classified based on propagation mode as single mode and multimode [6], [7]
(Figure 17). These provide a different performance regarding both the attenuation and dispersion time.
In Single mode Fiber (sometimes called monomode) light can going in straight line only, because it is
very small core diameter. Single mode is higher bandwidth, lower fiber attenuation and used for long
transmission.
In multimode fiber the light take any number of paths. The difference in the core diameter is the major
difference between multimode and single mode. Multimode fibers usually have a wider core that makes it easier
to couple to the source or detector. The multimode fiber optic can classified based on refractive index into two
types: step index and graded index multimode
Step index multimode specifications:
The density of core remains constant from the center to edges until it reaches the interface of the core
and the cladding.
Beams in the middle travel in straight the core and reach the destination without reflecting or
refraction.
Other beans strike the interface of the core and cladding at different angles causing the beams to reach
the destination at different times.
Mostly used for imaging and illumination
Graded index multimode specifications:
It is fiber with varying density (highest at center of the core and decrease gradually to its lowest at the
edge).
This difference causes the beams to reach the destination at regular intervals.
Can be used over distance of up to about 1000 meters.
Used for data communication and networks carrying signals for typically no more than a couple of
kilometers.
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Figure 17.Single mode and Multimode
4.2Fiber Optic Transmission Characteristics
Attenuation and dispersion are the difficulties facing fiber optic (Figure 18); the attenuation effect
reduces the signal power and it is caused by absorption losses, scattering losses and losses due to mechanical
handling. Dispersion is the spreading of the signal over time. Dispersion mechanisms: Modal (or intermodal)
dispersion, Chromatic dispersion (CD) and Polarization mode dispersion (PMD) [8].
Figure 18. (a) Attenuation , (b) Dispersion
4.2.1 Attenuation
The attenuation or transmission loss determines the maximum distance prior to signal restoration,
optical fiber communications became especially attractive when the transmission losses of fibers were reduced
below those of the competing metallic conductors (less than 5 dB/km).
In optical fiber communications the attenuation is usually expressed in decibels per unit length as
following:
𝛼 𝑑𝐵 𝐿 = 10𝑙𝑜𝑔10
𝑃𝑖
𝑃𝑜
Where;
α : attenuation (dB).
Pi : input power.
Po : output power.
L : length (km).
The basic attenuation mechanisms in a fiber are absorption, scattering, and radiation losses of the optical energy.
Absorption Losses
Absorption is defined as the portion of attenuation resulting from light is absorbed due to chemical
properties of the fiber so that less energy is emitted. Attenuation by absorption is caused by:
Atomic defects in the glass.
Impurity atoms in the glass composition (Extrinsic absorption).
The basic constituent atoms of the fiber material.
Scattering Losses
Light is re-directed by the molecular properties of the fiber resulting in leakage into the cladding,
jacket, or lost at junctions. Scattering losses are caused by:
Microscopic variations in the material density.
Compositional fluctuations
Structural inhomogeneities or defects occurring during the fiber manufacturing.
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Losses due to Mechanical Handling
Radiative Losses (Microbending Losses):this type of losses occurs whenever an optical fiber undergoes a bend
of finite radius of curvature. The two types of bends are:
Bends having radii that are large compared to the fiber diameter such as when the fiber cable turns a
comer.
Random microscopic bends of the fiber axis that can arise when the fibers are incorporated into cables
[3].
Joint Losses:there are inherent connection problems when jointing fibers with, for instance:
Different core and/or cladding diameters;
Different numerical aperture and/or relative index differences;
Different refractive index profiles;
Fiber faults
The best results are therefore achieved with compatible (same) fibers, which are manufactured to the
lowest tolerance. In this case there is still some jointing problem such as the mechanical alignment between the
two fibers being jointed, the fiber end face quality, and the cleanliness of the fiber end-faces. Figure 19
illustrates examples of possible misalignment between coupled compatible optical fiber.
Fig 2.23. The three possible misalignments which may occur when jointing compatible optical fibers
As shown in Figure 19, the misalignment may occur in three dimensions, the separation between the
fibers (longitudinal misalignment), the offset perpendicular to the fiber core axes (lateral/radial/axial
misalignment) and the angle between the core axes (angular misalignment).
4.2.2 Dispersion
Dispersion in fiber is one of the most important fiber characteristics because, it directly affects the
bandwidth of the fiber and hence the speed at which data can be sent over the fiber [3]. The basic dispersion
mechanisms in a fiber are: Modal (or intermodal) dispersion, Chromatic dispersion (CD) and Polarization mode
dispersion (PMD).
Modal dispersion: Spreading of the signal over time resulting from the different propagation modes in
the fiber.
Chromatic dispersion: Spreading of the signal over time resulting from the different speeds of light
rays.
Polarization mode dispersion: Orthogonal light waves travel at different speeds in the fiber
4.3Fiber Optic Links Design
A general flowchart for fiber optic cables design is shown in Figure 20. The user is requested to enter
the cable specification and then to select either multimode or monomode cable, the input parameters are
described in the input form which is shown in Figure 21.
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Start
System Requirements
Multiwavelength
Select Monomode
Cable
Select Multimode Cable
Calculate Coupling
Loss
Loss Acceptable Try Another Cable
Cable Accepted
All Cables
Considered
Calculate Dispersion
Bandwidth
Acceptable
Save Data to File
Cable Technical Chracteristics and
Manufacture Company and Adress
End
Reduce System
Requirements
YesNo
No
Yes
No
Yes
Yes No
No
Yes
Yes
Figure 20. Fiber Optic Cables Design Flowchart
Figure 21. Cable Design Input form
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Once the input data is entered, the program will compute the coupling loss, system loss, delay, and
bandwidth as shown in Figure 22. If the calculated coupling loss, system loss, delay are less than the maximum
accepted values and the bandwidth is greater than the minimum accepted value specified by the user, the
program will accepts the design and allows the user to save his design in a file containing all inputs and output
data of cable design. If one of design parameters does not meet the specification the program shows a massage
telling the user to change the input data (choose another cable) or reduce the design specification.
Figure 22. Cable Design Output form
Equations used in cable design as follows:
𝐶𝑜𝑢𝑝𝑙𝑖𝑛𝐿𝑜𝑠𝑠 = 10 log
𝑛 + 1
2
∗ 𝑛𝑎2
𝑆𝑦𝑠𝐿𝑜𝑠𝑠 = 0.9
𝑟𝑐
4
𝐵
2
𝐵𝑛
∆2 𝑟𝑤
6
∗
𝐸𝑐
𝐸 𝑤
3
2
𝐷𝑒𝑙𝑎𝑦 =
1
𝑐
∗
𝑛 ∗ 𝑑𝑒𝑙𝑡𝑎 ∗ 𝑘 𝑎
2
2
+ 𝑙𝑎𝑚 ∗ 𝑙𝑎𝑚𝑠 ∗ 𝑑 𝑛
2
𝐵𝑊 =
1
𝑐 ∗
𝑛∗𝑑𝑒𝑙𝑡𝑎 ∗𝑘 𝑎
2
2
+ 𝑙𝑎𝑚 ∗ 𝑙𝑎𝑚𝑠 ∗ 𝑑 𝑛
2
V. Optical Receiver
The receiver converts the optical signal back to it original form. As shown in Figure 2receiver consists
of fiber to light interface, light detector, amplifier, shaper and decoder.Light detector is sensitive device used to
detect the light pulses and converts back the light pulses into an electrical signal. The electrical pulses are
amplified and reshaped back into digital form.
The light detector, usually a semiconductor photodiode; must convert the normally weak optical signal
into a corresponding weak electrical signal. Subsequent stages in the receiver provide amplification and single
processing. The output of the receiver is an electrical signal that meets user-defined specifications concerning
signal power, impedance level, bandwidth, and other parameters [9].
In order to achieve this objective the optical receiver should possess the following characteristics:
High sensitivity and must be suitably matched to the wavelength of the optical source.
Wide bandwidth (i.e. high speed response)
Small additional noise.
No change of characteristics with external conditions.
Reasonable source voltage requirements.
Two types of semiconductor devices largely satisfy the above mentioned conditions, namely, the PIN
photodiode and the Avalanche photodiode (APD).
A positive-intrinsic-negative (p-i-n) photodiode consists of p and n regions separated by a very lightly
n doped intrinsic region. Silicon p-i-n photodiodes are used at 0.8 nm wavelength and InGaAs p-i-n photodiodes
at 1.3 and1.55 nm wavelengths. In normal operation, the p-i-n photodiode is under high reverse bias voltage. So
the intrinsic region of the diode is fully depleted of the carriers. When an incident photon has energy greater
than or equal to the band gap energy of the photodiode material, the electron-hole pair is created due to the
absorption of photon. Such photons generate carriers in the depleted intrinsic region, where most of the incident
light photons absorbed are separated by the high electric field present in the depletion region and are collected
across the reverse biased junction. This produces a photocurrent flow in the external circuit to get high quantum
efficiency and hence the maximum sensitivity and the thickness of the depletion layer should be increased so
that the absorption of photons will be maximum. InGaAs p-i-n photodiodes have high quantum efficiency and
high responsivity in the 1.33 and 1.55nm wavelengths.
Avalanche photodiode (APD) consists of four regions p+ - i– p-n+ to develop very high electric field
in the intrinsic region and to impart more energy to photoelectrons to generate new electron-hole pairs by impact
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ionization leading to avalanche breakdown in the reverse biased diode. The APDs have therefore, high
sensitivity and high responsivity over p-i-n diodes due to the avalanche multiplication. APDs are made from
silicon or germanium having operating wavelength of 0.8 nm and InGaAs with operating wavelength of 1.55 nm
[9].Fig. 8 shows various types of detectors and their spectral responses.
5.1PIN and APD Performance Comparison
Most optical detectors suffer from two major difficulties: the slow-tail frequency response of non-
avalanching (PIN) devices and the temperature dependence of the avalanche process of avalanching (APD)
devices. The speed of optical detectors is largely a function of the detector capacitance, which is composed of
the device and package contributions. The device capacitance depends upon the width of the depletion layer and
is therefore a function of the impurity concentration and the applied voltage. Since a large operating voltage
effects a wide depletion layer and hence a smaller capacitance compared to an otherwise identical device
operated at low voltage, APDs usually have a higher frequency response than PINs.
The avalanche voltage is a sensitive function to temperature, so that avalanche photo detectors require the
addition of temperature-compensating circuitry [3]. The responsivity of an APD at unity gam has the same
dependence as a PIN photo detector biased at a low voltage. At higher reverse biases, multiplication occurs and
the photocurrent multiplication (gain) increases. The responsivity of an APD is then responsivity of a PIN
photodetector multiplied by the gain, M [3].
5.2Optical Receiver Design
A receiver for optical communication signals mainly consists of a photodiode, a preamplifier and an
equalizer. The minimum acceptable optical signal power at the receiver depends upon the photodiode gain and
the noise introduced by the photodiode and the preamplifier. Thus the design of an optimum receiver calls for
optimum photodiode gain and an optimum preamplifier. V.K Jain, P.Kumar, and S.N.Gupta have reported
design of an optimum optical receiver published in Journal of Optical Communications in 1985. The design
shows that for an optimum receiver there exists a particular bias current at which the optical power required is
minimum. However, this optimum bias current is not critical. Also optical power required will be minimum for
APD/PIN diode having the minimum junction capacitance and will vary inversely with quantum efficiency and
directly with the junction capacitance. Figure 23 illustrates the general design flowchart of optimum optical
receiver.
Specify B, Modulation and
output SNR/Pe
Start
All Detectors
Tried
Select an APD/PIN Diode
Evaluate Noise Power for
selected PIN/APD and
Preamplifier configuration
Determine Optimum Gain
for APD
Calculate Required Bit
Energy
Make a Comparison
List out Optimum Detector
and Preamplifier used
Stop
No
Yes
Figure 23.Flowchart of optimum optical receiver
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The transimpedance preamplifier and its noise model are shown in Figures 24 and Figures 25
respectively, and the Optimum receiver configuration is shown in Figure 26.
Figures 24.Transimpedance preamplifier
Figures 25.Transimpedance preamplifier noise model
Figures 26.Optimum receiver configuration
Where;
Ri, Ci : are the input resistance and capacitance of the amplifier
A : is the closed loop mid-frequency voltage gain
Cd : is the junction capacitance of the photodiode
Rf, Cf : are the feedback resistance and capacitance, respectively
r, C : are the transistor base-to-emitter resistance and capacitance, Respectively.
Cb : is the bias current Ib dependent capacitance
Cu : is the transistor base-to-collector capacitance
gm : is the transconductance of transistors
Id : is the diode current
The exact design of an optimum optical receiver is used here where, all approximations in the circuits
analysis and in the equations derivation have been replaced with exact solutions. This because, the design is
implemented in a computer program at which the exact design can be easily achieved. The program is linked
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with a database, which allows the designer to call any stored data for any part of the optical receiver. The
designer is also offered to enter his own input data if needed. The output result of the design gives almost all
required details and allows the designer to save the results to file and then print it out if required. The general
flowchart of the optimum optical receiver program is shown in Figure 27.
Bias Circuit and
Detector
PreAmplifier Attenuator
Controlled
Voltage
Voltage
Ratio
Receiver
Figures 27.The general flowchart of the optimum optical receiver program
Fiber optics receiver consists of three parts, they are:
Preamplifier
Bias circuit and detector
Attenuator
The receiver design program allows the designer to design any part of those mentioned above. This of-
course gives the designer more flexibility to vary the receiver components according to the specification and the
cost.
5.2.1 Preamplifier
The preamplifier input form is shown in Figure 28:
Figures 28. Receiver Preamplifier Input form
The input form describes the required input parameters; Figure24 and Figure25respectively show the
circuit layout of the preamplifier. The designer can enter the data manually or call it from database. The output
is shown in Figure 29:
Fig. 29: Receiver Preamplifier Output form
Equations used in this preamplifier as follows:
The bias DC current Ib follows:
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𝐼𝑏 =
2π ∗ BW ∗ 𝑉𝑇 ∗ 𝐶𝐴
3𝛽 + 4 𝜋 ∗ BW ∗ 𝑉𝑇 ∗ 𝐶𝑏
2
Where,
𝐶𝐴 = 𝐶𝑑 + 𝐶𝑢 + 𝐶𝑓 + 𝐶 𝜋
𝑉𝑇 = 𝐾𝑇/𝑞
K : is the Boltzmann constant
q : is the electronic charge
Then the program varies the bias DC current Ib a step of lE-7 until it reaches to a value at which the
required input power and the junction capacitance have the minimum values, At this value of the bias current.
The Loop Feedback Res. follows:
𝑅 𝑠𝑓 =
1
2π ∗ BW ∗ 𝐶𝑢 + 𝐶𝑓
The Overall Feedback follows:
𝑅𝑓 =
−𝑔 𝑚 ∗ 𝑅 𝑠𝑓 ∗ 𝑅 𝑐3
2π ∗ BW ∗ C ∗ 𝑅 𝑒3
𝐶 = 𝐶𝐴 + 𝐶𝑏 ∗ 𝐼𝑏
The initial amplifier gain:
𝐴 = 2𝜋 ∗ 𝐶 ∗ 𝑅𝑓 ∗ 𝐵𝑊
The exact gain can be driven from circuit shown in Figure 26 as follows:
𝑋1 = 𝛽 + 1 ∗ 𝑅 𝑒3
𝑋2 = 𝛽 ∗ 𝑅 𝑐3
𝑅𝐼3 = 𝑅 𝜋 +
𝑋1 ∗ 𝑋2
𝑋1 + 𝑋2
𝑋1 =
𝑅 𝑠𝑓 ∗ 𝑅 𝑐3
𝑅 𝑠𝑓 + 𝑅 𝑐3
𝑅𝑀 =
𝛽 ∗ 𝑋1 ∗ 𝑅𝐼3 ∗ 𝑅 𝑠𝑓
𝑋1 + 𝑅𝐼3 ∗ 𝑅 𝑠𝑓 + 𝑅 𝜋
𝐵𝐸 =
−1
𝑅 𝑠𝑓
𝐷𝐸 = 1 + 𝐵𝐸 ∗ 𝑅𝑀
𝑅𝑀𝐹 =
𝑅𝑀
𝐷𝐸
𝐴𝑉𝐹 =
−𝑅𝑀𝐹
𝑅 𝑐3
𝐷2 =
1
1 − 𝐴𝑉𝐹
𝑋1 = 𝛽 ∗ 𝑅 𝑐3
𝑋2 = 𝛽 ∗ 𝑅 𝑠𝑓 ∗ 𝐷2
𝑋1 =
𝑋1 ∗ 𝑋2
𝑋1 + 𝑋2
𝑋2 = 𝛽 ∗ 𝑅𝐼3
𝑅12 =
𝑋1 ∗ 𝑋2
𝑋1 + 𝑋2
𝐴1 =
𝛽 ∗
𝑅 𝑐3∗ 𝑅 𝐼2
𝑅 𝑐3+ 𝑅 𝐼2
𝑅 𝜋
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𝐴3 =
𝛽 ∗ 𝑅 𝑐3
𝛽 + 1 𝑅 𝑒3
𝐸𝑥𝑎𝑐𝑡𝐺𝑎𝑖𝑛 = 𝐴1 ∗ 𝐴𝑉𝐹 ∗ 𝐴3
𝐵𝐸 =
−1
𝑅𝑓
𝐷𝐸 = 1 + 𝐵𝐸 ∗ 𝐸𝑥𝑎𝑐𝑡𝐺𝑎𝑖𝑛
𝐸𝑥𝑎𝑐𝑡𝐺𝑎𝑖𝑛 =
𝐸𝑥𝑎𝑐𝑡𝐺𝑎𝑖𝑛
𝐷𝐸
5.2.2 Bias Circuit and Detector
The input parameters are described in the input form and the designer can enter the data manually or
call it from database, which is shown in Figure 30. The output is shown in Figure 31.
Figures 30. Receiver Optical Detector Input form
Figures 31. Receiver Optical Detector Output
Equations used for optical detector as follows:
Zeq of the sweet spot LED:
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𝑍𝑒𝑞 =
𝑅 𝑑
𝑤
𝑐 𝑑
𝑅 𝑑
2
+
1
𝑤
𝑐 𝑑
2 +
𝑅 𝑑
2
𝑤
𝑐 𝑑
𝑅 𝑑
2
+
1
𝑤
𝑐 𝑑
2
Where, w = 2πF
Time of Step Response:
𝑇𝑐 =
𝑅 𝑠 + 𝑅 𝐿
𝑅 𝑠
𝛽
+ 𝑅 𝐿
I generated by incident light:
𝐼0 = 𝑃 ∗ 𝐺 ∗ 0.806 ∗ 𝜆
The Responsivity:
𝑅0 = 0.806 ∗ 𝜆 ∗ 𝐺
The Photo Energy:
𝑃𝐸 =
𝑒
0.806
∗ 𝜆
Where, e = electron charge
The Noise Bandwidth:
𝐵𝑎 =
1
4 ∗ 𝐶𝑡 ∗ 𝑅
The Dark Current Noise:
𝐼𝑑 𝑠 = 2 ∗ 𝐼𝑑 ∗ 𝑒 ∗ 𝐵𝑎
The Short Current Noise:
𝐼𝑞𝑠 = 2 ∗ 𝐼0𝑒 ∗ 𝑒 ∗ 𝐵𝑎
The Thermal Current Noise:
𝐼𝑏𝑠 =
4 ∗ 𝐾 ∗ 𝑇 ∗ 𝐵𝑎 ∗ 𝐹𝑎
𝑅
The Total Noise Voltage:
𝑉𝑛 = 2 ∗ 𝑒 ∗ 𝐼0 ∗ 𝐵𝑎 ∗ 𝑅2
+
4 ∗ 𝐾 ∗ 𝑇 ∗ 𝐵𝑎 ∗ 𝐹𝑎 ∗ 𝑅2
𝑅 𝐿
The Signal to Noise Ratio:
𝑆/𝑁 =
𝐼0
2
2 ∗ 𝐼0 ∗ 𝑒 ∗ 𝐵𝑎 ∗ 16 ∗ 𝐾 ∗ 𝑇 ∗ 𝐵𝑎 ∗ 𝐶𝑡 ∗ 𝐹𝑎
5.2.3 Attenuator
The attenuator program presents two options to the designer, they are:
Design for voltage ratio Vo/Vin in in controlled voltage Vc is known.
Design for controlled voltage Vc if voltage ratio Vo/Vin is known.
Figure 32 and Figure 33 show the attenuator input forms for both options respectively.
Figures 32. Receiver Attenuator input form (design for voltage ratio).
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Figures 33. Receiver Attenuator input form (design for controlled voltage).
The output forms for both cases are shown in Figure 34 and Figure 35respectively.
Figures 34.Receiver Attenuator Output form (design for voltage ratio).
Figures 35. Receiver Attenuator input form (design for controlled voltage).
Equations used in attenuator as follows:
Controlled Voltage,
𝑉𝑐 =
1
𝐾 ∗
𝑉𝑟
𝑅 𝑝
− 𝑅 𝑝
+ 𝑉𝑝
Voltage Ratio,
𝑉𝑟 =
𝑅 𝑝
𝑅 𝑝 + 𝑅𝑓
Where,
𝑅𝑓 =
1
𝐾 𝑉𝑐 − 𝑉𝑝
VI. Conclusion
Advantages of fiber optic communication have been discussed. Thethe different parts of the optical
communication system have been discussed, starting at the optical source and ending at the optical detector.
Powerful software has been developed, in order to deal with each individual part of fiber optic communication
system.
References
[1] Andrew S. Tanenbaum, “Computer Networks”, 4th Edition, Prentice Hall PTR.
[2] F. C. Allard, “Fiber optics handbook: for engineers and scientists”, McGraw-Hill.
[3] J. Senior, “Optical fiber communications: principles and practice”, 3rd Edition, Prentice Hall PTR.
[4] O. Strobel and J. Lubkoll, “Fiber-Optic Communication-An Overview”, 20th
Int. Crimean Conference Microwave &
Telecommunication Technology, 2010.
[5] “Fundamentals of Fiber Cable Management”, ADC Telecommunications, Inc.
[6] P. Sharma, R. Arora, S. Pardeshi and M. Singh, “Fibre Optic Communications: An Overview”, International Journal of Emerging
Technology and Advanced Engineering, vol. 3, issue 5, pp. 474-479, 2013.
[7] M. Arumugam, “Optical Fibre Communication – An Overview”, Pramana journal of physics, vol. 57, pp. 849–869, 2001.
[8] V. Alwayn, “Optical Network Design and Implementation”, Cisco Press. Part of the Networking Technology series, 2004.
[9] M. Nick, “Fiber Optic Telecommunication”, Springfield Technical Community College Springfield, Massachusetts, University of
Connecticut, 2000.