SlideShare une entreprise Scribd logo
1  sur  21
Sheffield Hallam University

Simulation of an All Optical T
ime
Division M
ultiplexing Router E
mploying
T
OADs
Razali Ngah and Z Ghassemlooy
Optical Communications Research Group
School of Engineering
Contents
1.
2.
3.
4.
5.
6.
7.
8.

Introduction
OTDM Communication System
OTDM Packet Format
All optical switching
OTDM Router Using TOADs
Simulation Results and Discussions
Conclusions
Further works

Sheffield Hallam University

2
Introduction
Why Optical domain?

Sheffield Hallam University

Cont.

3
Introduction
Multiplexing Techniques
- to extend a transmission capacity
- OTDM vs. WDM
OTDM

WDM

Single wavelength

Multiple wavelength

High bit rate (up to 640Gb/s)

Lower bit rate (2.5 – 100Gb/s)

Immature technology

Reaching an advanced stage of
development

Chromatic dispersion & timing jitter

FWM, SRS & XPM

OTDM can provide users with better throughput delay
performance, faster single-channel access times for high-datarate end users
OTDM Communication System
- 10 Gbps is commercially available
- There are two types:
-Bit Interleaved TDM
-Slotted (packet) TDM
OTDM Packet Format
Clock
(Frame Sync.)

Address

Payload

Format of OTDM packet
Multiplexing of Clock Pulse
- Space Division Multiplexing
- Wavelength Division Multiplexing
- Orthogonal Polarization
- Intensity Division Multiplexing
- Time Division Multiplexing

Sheffield Hallam University

Cont.
OTDM Packet Format

- Space division multiplexing
-The clock is carried on by a separate transmission fibre
from the data packets
-Problems: (i) time varying differential delay between the
clock and data, and (ii) the cost of installing a separate
clock fibre for each network node in new installation is
not practical for wide area networks

Sheffield Hallam University

Cont.
OTDM Packet Format
- Wavelength division multiplexing
-Different wavelengths are allocated to clock and payload
-Problems: Only practical for predetermined path lengths
between nodes in single hop networks.
The relative delay between the clock and data will be random
in asynchronous packet-switched since the optical path length
through which a packet travels is non-deterministic
Orthogonal Polarization
-An orthogonally polarized clock pulse is used
-Problem: Difficult to maintain the correct polarization
throughout the system
Sheffield Hallam University

Cont.
OTDM Packet Format

- Intensity Division Multiplexing
-Higher intensity for the optical clock pulse is used to
differentiate it from the data
-Problem: The clock pulse amplitude and its position
become difficult to maintain in long distance transmission

- Time Division Multiplexing
-Self-synchronization approach, the clock is located at the
start of the packet

Sheffield Hallam University

Cont.
All Optical Switching
a). Asymmetric Terahertz Optical Demultiplexer
(TOAD)
b). Mach-Zehnders interferometer (MZI)
c). Ultrafast nonlinear interferometer (UNI)
- Optical control pulse is used to change SOA’s gain
and refractive index

Sheffield Hallam University
Asymmetric Terahertz Optical Demultiplexer
(TOAD)

Sheffield Hallam University
All Optical Router Using TOADs

Clock

Data packet
Data Packet
TOAD1
(Clock
extra.)

Data Packet
TOAD2
(read
address)

Clock

Port 1
TOAD3
(route
payload)

Address

Payload
Port 2

Block Diagram of 1x2 OTDM Router

Sheffield Hallam University

Cont.

5
All Optical Router Using TOADs
SOA

Fibre
loop

PBS1

SOA

PBS2

PC

Reflected clock pulse
Clock + data packet in

50:50
Data packet out
Reflected Port
(Port 1)

Transmitted Port
(Port 2)

Clock recover module
Sheffield Hallam University

Clock
out
Simulation Results and Discussion
- The model was simulated using Virtual Photonics (VPI)
simulation package
- Simulation parameters:
Parameters
Data bit rate (per channel)
Clock pulse FWHM width
Address bit FWHM width
Injection current of SOA
SOA length
SOA active areas
SOA confinement factor
SOA Differential gain
SOA carrier density transparency
SOA Linewidth enhancement factor
SOA recombination coefficient A
SOA recombination coefficient B
SOA recombination coefficient C
SOA Initial carrier density

Values
2.5 Gbps
1 ns
0.5ns
0.15A
0.5 mm
3x10-13 m2
0.15
2.78x10-20 m2
1.4x1024 m-3
5
1.43x108 1/s
1.0x10-16 m3/s
3.0x10-41 m6/s
3.0x1024 m-3

Cont.
Simulation Results and Discussion
- OTDM packet

Cont.
Simulation Results and Discussion
Extracted Clock Signal

Transmitted Output of TOAD1

Cont.
Simulation Results and Discussion
Reflected Output TOAD2
(Address bit)

Transmitted output of TOAD2
(Payload)

Cont.
Simulation Results and Discussion
Payload at Port 2 of TOAD3
Conclusions
-A node model for an OTDM router (1X2) for asynchronous packet
routing is presented
-The switching devices employed for clock recovery and payload
routing are carried out in optical domain using TOADs
-Simulation results demonstrate that clock recovery, address
recognition and payload routing has been achieved successfully

Sheffield Hallam University

30
Further works
- To simulate multiple input and output networks
- Crosstalk and noise analysis for multiple input and output
networks

Sheffield Hallam University

31
Thank you

Contenu connexe

Tendances

Volume 2-issue-6-1945-1949
Volume 2-issue-6-1945-1949Volume 2-issue-6-1945-1949
Volume 2-issue-6-1945-1949Editor IJARCET
 
An improved ant colony optimization algorithm for wire optimization
An improved ant colony optimization algorithm for wire optimizationAn improved ant colony optimization algorithm for wire optimization
An improved ant colony optimization algorithm for wire optimizationjournalBEEI
 
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...Sri Manakula Vinayagar Engineering College
 
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic ChannelPerfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic ChannelCommunication Systems & Networks
 
2 ro-pdh-sonet-sdh
2 ro-pdh-sonet-sdh2 ro-pdh-sonet-sdh
2 ro-pdh-sonet-sdhkongara
 
Modeling and Simulation of Wavelength-Routed optical Networks
Modeling and Simulation of Wavelength-Routed optical NetworksModeling and Simulation of Wavelength-Routed optical Networks
Modeling and Simulation of Wavelength-Routed optical Networksijceronline
 
Presentation Royal Society meeting
Presentation Royal Society meetingPresentation Royal Society meeting
Presentation Royal Society meetingVincent Sleiffer
 
Multimedia traffic routing in multilayer wdm networks
Multimedia traffic routing in multilayer wdm networksMultimedia traffic routing in multilayer wdm networks
Multimedia traffic routing in multilayer wdm networksAlexander Decker
 
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKS
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKSMMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKS
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKSprj_publication
 
Chapter2
Chapter2Chapter2
Chapter2wael-b1
 

Tendances (20)

Volume 2-issue-6-1945-1949
Volume 2-issue-6-1945-1949Volume 2-issue-6-1945-1949
Volume 2-issue-6-1945-1949
 
Guide otn ang
Guide otn angGuide otn ang
Guide otn ang
 
An improved ant colony optimization algorithm for wire optimization
An improved ant colony optimization algorithm for wire optimizationAn improved ant colony optimization algorithm for wire optimization
An improved ant colony optimization algorithm for wire optimization
 
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...
Performance Analysis of MIMO–OFDM for PCHBF , RELAY Technique with MMSE For T...
 
Ijetcas14 632
Ijetcas14 632Ijetcas14 632
Ijetcas14 632
 
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic ChannelPerfomance Evaluation of FBMC for an Underwater Acoustic Channel
Perfomance Evaluation of FBMC for an Underwater Acoustic Channel
 
Sonet
SonetSonet
Sonet
 
2 ro-pdh-sonet-sdh
2 ro-pdh-sonet-sdh2 ro-pdh-sonet-sdh
2 ro-pdh-sonet-sdh
 
A Time-Frequency Transform Based Fault Detectionand Classificationof STATCOM ...
A Time-Frequency Transform Based Fault Detectionand Classificationof STATCOM ...A Time-Frequency Transform Based Fault Detectionand Classificationof STATCOM ...
A Time-Frequency Transform Based Fault Detectionand Classificationof STATCOM ...
 
SONET-Communication Engineering
SONET-Communication EngineeringSONET-Communication Engineering
SONET-Communication Engineering
 
Ch17
Ch17Ch17
Ch17
 
Modeling and Simulation of Wavelength-Routed optical Networks
Modeling and Simulation of Wavelength-Routed optical NetworksModeling and Simulation of Wavelength-Routed optical Networks
Modeling and Simulation of Wavelength-Routed optical Networks
 
IJIREEICE 84
IJIREEICE 84IJIREEICE 84
IJIREEICE 84
 
SONET/SDH in CCN
SONET/SDH in CCNSONET/SDH in CCN
SONET/SDH in CCN
 
40120140503001 2-3
40120140503001 2-340120140503001 2-3
40120140503001 2-3
 
Presentation Royal Society meeting
Presentation Royal Society meetingPresentation Royal Society meeting
Presentation Royal Society meeting
 
Multimedia traffic routing in multilayer wdm networks
Multimedia traffic routing in multilayer wdm networksMultimedia traffic routing in multilayer wdm networks
Multimedia traffic routing in multilayer wdm networks
 
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKS
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKSMMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKS
MMINIMUM RESOURCE CONSUMPTIONS ROUTING FOR OPTICAL NETWORKS
 
Chapter2
Chapter2Chapter2
Chapter2
 
Sonet
SonetSonet
Sonet
 

En vedette (20)

Parque de bomberos 2ª parte 4º b
Parque de bomberos 2ª parte 4º bParque de bomberos 2ª parte 4º b
Parque de bomberos 2ª parte 4º b
 
копия Svad me pitch
копия Svad me pitchкопия Svad me pitch
копия Svad me pitch
 
Power mª dolores
Power mª doloresPower mª dolores
Power mª dolores
 
Power juan
Power juanPower juan
Power juan
 
Power de pepe
Power de pepePower de pepe
Power de pepe
 
Power asun
Power asunPower asun
Power asun
 
копия Svad me pitch
копия Svad me pitchкопия Svad me pitch
копия Svad me pitch
 
halloween
halloweenhalloween
halloween
 
Garbageayush anubhav
Garbageayush anubhavGarbageayush anubhav
Garbageayush anubhav
 
Notary Mama - Documents at your Doorstep
Notary Mama - Documents at your DoorstepNotary Mama - Documents at your Doorstep
Notary Mama - Documents at your Doorstep
 
COSTOS
COSTOSCOSTOS
COSTOS
 
Power rosa
Power rosaPower rosa
Power rosa
 
Power rosana
Power rosanaPower rosana
Power rosana
 
Isocuantas de produccion
Isocuantas de produccionIsocuantas de produccion
Isocuantas de produccion
 
Money laundry-rAzik's
Money laundry-rAzik'sMoney laundry-rAzik's
Money laundry-rAzik's
 
Tambang pasir gue
Tambang pasir gueTambang pasir gue
Tambang pasir gue
 
Ppt anor
Ppt anorPpt anor
Ppt anor
 
Ppt jurnal kimanor
Ppt jurnal kimanorPpt jurnal kimanor
Ppt jurnal kimanor
 
Demografi WDAW DAW DA D AD AWD AW DW D A DA
Demografi WDAW DAW DA D AD  AWD AW DW D A DADemografi WDAW DAW DA D AD  AWD AW DW D A DA
Demografi WDAW DAW DA D AD AWD AW DW D A DA
 
laporan praktikum kimia
laporan praktikum kimialaporan praktikum kimia
laporan praktikum kimia
 

Similaire à Otd mro

Optical tech
Optical techOptical tech
Optical techcoolateeq
 
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...PROIDEA
 
Sonet Sdh Dwdm
Sonet Sdh DwdmSonet Sdh Dwdm
Sonet Sdh Dwdmdeven l
 
Digital Signal Processing Quiz
Digital Signal Processing QuizDigital Signal Processing Quiz
Digital Signal Processing QuizMelissa Luster
 
Visible Light Communication
Visible Light CommunicationVisible Light Communication
Visible Light CommunicationIJERD Editor
 
Introduction to OFDM.ppt
Introduction to OFDM.pptIntroduction to OFDM.ppt
Introduction to OFDM.pptStefan Oprea
 
Optical circuit PPTby Sayantani
Optical circuit  PPTby Sayantani Optical circuit  PPTby Sayantani
Optical circuit PPTby Sayantani Sayantani Roy
 
Advantages And Disadvantages Of 5.1 Ofdm-IDMA Scheme
Advantages And Disadvantages Of 5.1 Ofdm-IDMA SchemeAdvantages And Disadvantages Of 5.1 Ofdm-IDMA Scheme
Advantages And Disadvantages Of 5.1 Ofdm-IDMA SchemeJulie Kwhl
 
techInvestigations with mode division multiplexed transmission
techInvestigations with mode division multiplexed transmissiontechInvestigations with mode division multiplexed transmission
techInvestigations with mode division multiplexed transmissionelelijjournal
 
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...ijsrd.com
 
참고자료 7. Introduction to LTE and LTE-A.ppt
참고자료 7. Introduction to LTE and LTE-A.ppt참고자료 7. Introduction to LTE and LTE-A.ppt
참고자료 7. Introduction to LTE and LTE-A.pptelhadim24
 

Similaire à Otd mro (20)

Asee05
Asee05Asee05
Asee05
 
Optical tech
Optical techOptical tech
Optical tech
 
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...
PLNOG 17 - Piotr Gruszczyński - Mobile Fronthaul - ewolucja (a może i rewoluc...
 
Sonet Sdh Dwdm
Sonet Sdh DwdmSonet Sdh Dwdm
Sonet Sdh Dwdm
 
Optical networking
Optical networkingOptical networking
Optical networking
 
Digital Signal Processing Quiz
Digital Signal Processing QuizDigital Signal Processing Quiz
Digital Signal Processing Quiz
 
D010231821
D010231821D010231821
D010231821
 
Visible Light Communication
Visible Light CommunicationVisible Light Communication
Visible Light Communication
 
Introduction to OFDM.ppt
Introduction to OFDM.pptIntroduction to OFDM.ppt
Introduction to OFDM.ppt
 
bonfring asha.pdf
bonfring asha.pdfbonfring asha.pdf
bonfring asha.pdf
 
3GPP LTE.ppt
3GPP LTE.ppt3GPP LTE.ppt
3GPP LTE.ppt
 
Optical circuit PPTby Sayantani
Optical circuit  PPTby Sayantani Optical circuit  PPTby Sayantani
Optical circuit PPTby Sayantani
 
LTE Air Interface
LTE Air InterfaceLTE Air Interface
LTE Air Interface
 
Kn3518141819
Kn3518141819Kn3518141819
Kn3518141819
 
Advantages And Disadvantages Of 5.1 Ofdm-IDMA Scheme
Advantages And Disadvantages Of 5.1 Ofdm-IDMA SchemeAdvantages And Disadvantages Of 5.1 Ofdm-IDMA Scheme
Advantages And Disadvantages Of 5.1 Ofdm-IDMA Scheme
 
Sonet dwdm
Sonet dwdmSonet dwdm
Sonet dwdm
 
techInvestigations with mode division multiplexed transmission
techInvestigations with mode division multiplexed transmissiontechInvestigations with mode division multiplexed transmission
techInvestigations with mode division multiplexed transmission
 
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...
Blind Channel Shortening for MIMO-OFDM System Using Zero Padding and Eigen De...
 
40120130405008
4012013040500840120130405008
40120130405008
 
참고자료 7. Introduction to LTE and LTE-A.ppt
참고자료 7. Introduction to LTE and LTE-A.ppt참고자료 7. Introduction to LTE and LTE-A.ppt
참고자료 7. Introduction to LTE and LTE-A.ppt
 

Dernier

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 

Dernier (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 

Otd mro

  • 1. Sheffield Hallam University Simulation of an All Optical T ime Division M ultiplexing Router E mploying T OADs Razali Ngah and Z Ghassemlooy Optical Communications Research Group School of Engineering
  • 2. Contents 1. 2. 3. 4. 5. 6. 7. 8. Introduction OTDM Communication System OTDM Packet Format All optical switching OTDM Router Using TOADs Simulation Results and Discussions Conclusions Further works Sheffield Hallam University 2
  • 3. Introduction Why Optical domain? Sheffield Hallam University Cont. 3
  • 4. Introduction Multiplexing Techniques - to extend a transmission capacity - OTDM vs. WDM OTDM WDM Single wavelength Multiple wavelength High bit rate (up to 640Gb/s) Lower bit rate (2.5 – 100Gb/s) Immature technology Reaching an advanced stage of development Chromatic dispersion & timing jitter FWM, SRS & XPM OTDM can provide users with better throughput delay performance, faster single-channel access times for high-datarate end users
  • 5. OTDM Communication System - 10 Gbps is commercially available - There are two types: -Bit Interleaved TDM -Slotted (packet) TDM
  • 6. OTDM Packet Format Clock (Frame Sync.) Address Payload Format of OTDM packet Multiplexing of Clock Pulse - Space Division Multiplexing - Wavelength Division Multiplexing - Orthogonal Polarization - Intensity Division Multiplexing - Time Division Multiplexing Sheffield Hallam University Cont.
  • 7. OTDM Packet Format - Space division multiplexing -The clock is carried on by a separate transmission fibre from the data packets -Problems: (i) time varying differential delay between the clock and data, and (ii) the cost of installing a separate clock fibre for each network node in new installation is not practical for wide area networks Sheffield Hallam University Cont.
  • 8. OTDM Packet Format - Wavelength division multiplexing -Different wavelengths are allocated to clock and payload -Problems: Only practical for predetermined path lengths between nodes in single hop networks. The relative delay between the clock and data will be random in asynchronous packet-switched since the optical path length through which a packet travels is non-deterministic Orthogonal Polarization -An orthogonally polarized clock pulse is used -Problem: Difficult to maintain the correct polarization throughout the system Sheffield Hallam University Cont.
  • 9. OTDM Packet Format - Intensity Division Multiplexing -Higher intensity for the optical clock pulse is used to differentiate it from the data -Problem: The clock pulse amplitude and its position become difficult to maintain in long distance transmission - Time Division Multiplexing -Self-synchronization approach, the clock is located at the start of the packet Sheffield Hallam University Cont.
  • 10. All Optical Switching a). Asymmetric Terahertz Optical Demultiplexer (TOAD) b). Mach-Zehnders interferometer (MZI) c). Ultrafast nonlinear interferometer (UNI) - Optical control pulse is used to change SOA’s gain and refractive index Sheffield Hallam University
  • 11. Asymmetric Terahertz Optical Demultiplexer (TOAD) Sheffield Hallam University
  • 12. All Optical Router Using TOADs Clock Data packet Data Packet TOAD1 (Clock extra.) Data Packet TOAD2 (read address) Clock Port 1 TOAD3 (route payload) Address Payload Port 2 Block Diagram of 1x2 OTDM Router Sheffield Hallam University Cont. 5
  • 13. All Optical Router Using TOADs SOA Fibre loop PBS1 SOA PBS2 PC Reflected clock pulse Clock + data packet in 50:50 Data packet out Reflected Port (Port 1) Transmitted Port (Port 2) Clock recover module Sheffield Hallam University Clock out
  • 14. Simulation Results and Discussion - The model was simulated using Virtual Photonics (VPI) simulation package - Simulation parameters: Parameters Data bit rate (per channel) Clock pulse FWHM width Address bit FWHM width Injection current of SOA SOA length SOA active areas SOA confinement factor SOA Differential gain SOA carrier density transparency SOA Linewidth enhancement factor SOA recombination coefficient A SOA recombination coefficient B SOA recombination coefficient C SOA Initial carrier density Values 2.5 Gbps 1 ns 0.5ns 0.15A 0.5 mm 3x10-13 m2 0.15 2.78x10-20 m2 1.4x1024 m-3 5 1.43x108 1/s 1.0x10-16 m3/s 3.0x10-41 m6/s 3.0x1024 m-3 Cont.
  • 15. Simulation Results and Discussion - OTDM packet Cont.
  • 16. Simulation Results and Discussion Extracted Clock Signal Transmitted Output of TOAD1 Cont.
  • 17. Simulation Results and Discussion Reflected Output TOAD2 (Address bit) Transmitted output of TOAD2 (Payload) Cont.
  • 18. Simulation Results and Discussion Payload at Port 2 of TOAD3
  • 19. Conclusions -A node model for an OTDM router (1X2) for asynchronous packet routing is presented -The switching devices employed for clock recovery and payload routing are carried out in optical domain using TOADs -Simulation results demonstrate that clock recovery, address recognition and payload routing has been achieved successfully Sheffield Hallam University 30
  • 20. Further works - To simulate multiple input and output networks - Crosstalk and noise analysis for multiple input and output networks Sheffield Hallam University 31