U N I V E R S I T Y O F M O R A T U W A SRI L A N K A DESIGN MODELING AND SIMULATION OF A REPEATERLESS OPTICAL FIBER NETWORK FOR SRI LANKA LIBRART PITw5ii7 pi MORATUWA. SRi likwk MO«ATU\rVA ^ ™ Submit ted in partial fulfi l lment tor the degree of Masters of Eng ineer ing in Electronics and T e l e c o m m u n i c a t i o n K. P. K a n d a n e a r a c h c h i U n i v e r s i t y o f M o r a t u v t a 80502 February 2004 L / M Thesis co(I S 0 5 0 2 Q05O2 The work presented in this dissertation has not been submitted for the fulfillment of any other degree (Candidate) (Supervisor) DEDICATION I dedicate this Dissertation with a lot of respect to my lovely late Mother who directed me to achieve the best possible education through a lot of dedication and hard work. It is also with reverence and respect that I remember my Father, my school - Thurstan College and University of Moratuwa for the guidance given me at all times to achieve my goals and aims and providing me with the postgraduate course that I receive. CONTENTS ACKNOWLEDGEMENTS ABSTRACT LIST OF FIGURES LIST OF TABLES ABBREVIATIONS 1 INTRODUCTION 1.1 High Speed Network 1.2 Common Network 1.3 Optimum Network 1.4 Objectives 1.5 Methodology 1.5.1 Telephone and IP Traffic Forecast by Year 2015 1.5.2 Network Design 1.5.3 Network Simulation 2 LITERATURE REVIEW 2.1 Traffic Theory for Planning 2.1.1 Traffic Volume 2.1.2 Traffic Density 2.1.3 Calling Rate 2.1.4 Probability of Loss 2.1.5 Earlang's B Formula 2.2 Demand Forecasting 2.2.1 Telephone Demand Forecasting 2.2.1.1 Macro-level telephone Demand Forecasting 2.2.1.2 Extrapolation Method 2.2.1.3 Method of Comparison with other Countries 2.3 Traffic Forecasting 2.3.1 Introduction 2.3.2 The Gravity Model 2.4 Economic Indicators 2.4.1 Gross National Product 2.4.2 Gross Domestic Product 2.4.3 Factors of Production 2.5 WDM Technology 2.5.1 Optical Transmitters 2.5.2 Optical Receivers 2.5.3 Optical Multiplexers and Demultiplexers 2.5.4 Optical Add Drop Multiplexers 2.5.5 Amplifiers 2.6 Optical Amplifiers 2.6.1 Amplifier Wavelength Bands 2.6.2 Erbium Doped Fiber Amplifier 18 2.6.3 Raman Amplifier 19 2.6.4 Comparison of Raman and Erbium Doped Amplifiers 26 3. TELEPHONE DEMAND FORECAST 29 3.1 Introduction 29 3.2 Income Elastic Model 29 4. TELEPHONE TRAFFIC FORECAST 33 4.1 Nodes of the Network 33 4.2 Traffic Originated from each Node 35 4.3 Gravity Model 37 5. INTERNET TRAFFIUC FORECAST 38 5.1 Traffic Forecast of Internet Dial-up Users 3 8 5.2 Broadband Users 40 6. VOICE OVER TRAFFIC FORECAST 43 6.1 Introduction 43 6.2 VoIP in Sri Lanka 43 6.3 Telephone Traffic migration from PSTN to VoIP 43 6.3.1 Traffic Migration of Business Customers from PSTN to VoIP 44 6.3.2 International Traffic Migration from PSTN to VoIP 44 6.3.3 Domestic Traffic Migration from PSTN to VoIP 45 6.3.4 Traffic Migration Patterns from PSTN to VoIP 45 7. NETWORK DESIGN 48 7.1 Network Topology 48 7.2 Traffic Routing 50 7.3 Capacity of the Network 50 7.4 Wavelength allocation and connectivity 50 7.5 Selection of Wavelengths 53 7.6 Design Configuration 53 7.7 Selection of the Fiber 54 7.8 Selection of Sources and Detectors 55 7.9 Network Design using Optical Amplifiers 55 7.10 BER Objective and Design Steps 55 7.11 Network Design 55 7.11.1 Selecting a suitable Booster and Pre-Amplifier 55 7.11.2 Power Budget Calculations 56 7.11.3 OSNR Calculations of Segments 61 7.11.4 OSNR Calculations of Optical Line Sections 64 7.11.5 Estimating Q Factors and preparing of the Performance Budget 64 7.12 Dispersion Management 67 8 NETWORK SIMULATION 8.1 Introduction 8.2 Simulation Strategy 8.3 Optimum Results of the Network 8.4 Simulated Outputs of the Network 9. SUMMARY AND CONCLUSIONS 9.1 Telephone Demand and its distribution by year 2015 9.2 IP Traffic Demand and its distribution by year 2015 9.3 Network Topology and capacity requirements 9.4 Designing of a Repeaterless Optical Network 9.5 Modeling of the Network to ensure desired results 9.6 Suggestions for future work REFERENCES APPENDICES ACKNOWLEDGEMENTS I would like to express my sincere gratitude to my Project Supervisor Prof. (Mrs.) I. J. Dayawansa (BSc Dip E.E. MSc PhD FIEE) for her guidance, valuable advices and encouragements for successfully completing this Postgraduate Research study. Also I thank to University of Moratuwa for giving me an opportunity for a postgraduate study where I had the opportunity to explore in new technology areas like Repeaterless Optical Networks. I should express my gratitude to ARTIS Software Corporation for providing me an evaluation copy of OptSim Software Tool for simulating and evaluating the designed Network. Finally I thank to my lovely wife Mrs. J. N. Wickramasinghe and Sri Lanka Telecom for providing me necessary information and support for completing this project successfully. ABSTRACT A reliable and wideband telecommunication network is a vital infrastructure development, where wide band services such as ATM, ADSL and IP based services could be supported. In Sri Lanka, the requirement of this kind of an optical network is very significant as other operators also can share the capacity of the network for transporting their traffic. On the other hand the network problems such as excessive BER (Bit Error Rate) etc are experienced after its construction. In order to avoid such limitations in the network, the network needs to be modeled on appropriate software tools and run with designed network parameters, so that the desired BER could be ensured. During the initial phase of the study, the total telephone demand by year 2015 was estimated as nearly 2 million subscribers. This was estimated through the world trend for telephone subscribers together with economic indicators such as GNP and GDP. The Nodes of the Network was determined based on the present distribution of customers in the County. In this case all the Tertiary Switching Center areas and the Secondary Center Areas where the customer base is more than 2.5% of total customers were taken as the main nodes of the network. In addition Jaffna and Baticaloa were also taken as nodes considering the potential growth of traffic in northern and eastern parts of the Island. The Gravity model and Earlang's B formula, traffic tables, were used to find the traffic between nodes and the number of circuits between nodes. Based on the traffic distribution between nodes, a part of the network was proposed as a fully reliable Ring Network, while other nodes are connected through extended links. The IP traffic, which is thought to be the major traffic flow in the future, were estimated considering the broadband Internet growth in the country. Also the traffic, which are expected to be migrated from traditional PSTN to IP Network were identified and estimated to find the total bandwidth requirement of the network by year 2015. The number of wavelengths in the proposed Network were decided based on the final bandwidth requirement. This resulted an island wide network consisting of WDM Ring Network having 08 wavelengths that basically covers the southern part of the country and two other extensions having a wavelength each to northern and eastern parts of the country. The Colombo and the Kandy nodes were selected as Full Fiber Terminal Stations as most of the traffic flow between these two nodes. Wavelengths are added and dropped at each branch station based on the traffic volumes between these nodes. The wavelengths were selected such that the space between adjacent wavelengths is 0.8nm to avoid nonlinear effects and cross talks. The G.655 non-zero dispersion fiber was selected to mange the dispersion and non-linear effects. DFB and APD are the Source and the Detector respectively to suit 1 ong haul t ransmissions h aving n arrow spectral widths and also to meet better sensitivity at the receiver. The proposed Network is a Repeaterless Optical Network, where the Power Budget of the longest Segment, Kandy - Matara, of 280km was designed without employing a physical repeater, which needs power feeding. This was achieved using Raman Amplifiers as line repeaters and Erbium Doped Fiber Amplifiers (EDFA) as Boosters and Pre-Amplifiers. The Power Budget has been prepared for all other Segments as well based on appropriate configurations. Also the BER objective of 10"9 was ensured for the longest Optical Line Section of Colombo - Kandy via Matara, in which a couple of express wavelengths are assigned for carrying traffic between Colombo and Kandy. The Performance Budget was prepared for long Optical Line Sections and the calculated BER was found as better than 10"9. This has been further confirmed by the Eye Diagrams after simulating the Network on the OptSim Network Simulator developed by ARTIS Software. -iii- • LIST OF FIGURES Figure 2.1 Offered Traffic and Carried Traffic 6 Figure 2.2 Factors affecting Demand 8 Figure 2.3 Economic Index Relating to Telephone Density 10 Figure 2.4 Traffic flow between Two Office 12 Figure 2.5 Typical WDM Multiplexer 15 Figure 2.6 WDM Demultiplexer using Wave Guide Grating Diffraction technique 16 Figure 2.7 Illustration of the advantage of using Optical Amplifiers 17 Figure 2.8 Typical Erbium Doped Fiber Amplifier 18 Figure 2.9 Energy Level Diagram of an Erbium Doper Fiber Amplifier 19 Figure 2.10 Energy Level Diagram of a Raman Amplifier 19 Figure 2.11 Gain Vs Frequency difference between the Signal and Pump 20 Figure 2.12 Configuration of the Forward Pumping Raman Amplifier 20 Figure 2.13 Configuration of the Backward Pumping Raman Amplifier 21 Figure 2.14 Hybrid Raman Doped Amplifier 28 Figure 3.1 World Telephone Demand Trend 30 Figure 5.1 Growth of Internet Users 39 Figure 5.2 Growth of Broadband users 41 Figure 5.3 Growth of Broadband users (log scale) 41 Figure 7.1 Topology of the Proposed Optical Fiber Network 49 Figure 7.2 Wavelength allocation and connectivity 52 Figure 7.3 Schematic Diagram of a WDM Segment 54 Figure 7.4 Simplest Configuration (Configuration-A) Fiber Link 57 Figure 7.5 Configuration-B of a Fiber Link 58 Figure 7.6 Configuration -C of a Fiber Link 58 Figure 7.7 Configuration-D of a Fiber Link 59 Figure 7.8 Measured EDF Gain and Noise Figure Vs. Pumping Power 59 Figure 7.9 Configuration of the proposed Network 70 Figure 8.1 Output of the Colombo main Fiber via Kurunegala 72 Figure 8.2 Input of the Kandy main Fiber via Kurunegala 73 Figure 8.3 Eye diagram of X\ at Kandy FFTS via Kurunegala 74 Figure 8.4 Eye diagram of A.2 at Kandy FFTS via Kurunegala 74 Figure 8.5 Eye diagram of A. 3 at Kandy FFTS via Kurunegala 75 Figure 8.6 Eye diagram of X4 at Kandy FFTS via Kurunegala 75 Figure 8.7 Eye diagram of X.5 at Kandy FFTS via Kurunegala 76 Figure 8.8 Eye diagram of X<, at Kandy FFTS via Kurunegala 76 Figure 8.9 Eye diagram of A. 7 at Kandy FFTS via Kurunegala 77 Figure 8.10 Eye diagram of A.g at Kandy FFTS via Kurunegala 77 Figure 8.11 Output of the Colombo main Fiber via Matara 78 Figure 8.12 Input of the Kandy main Fiber via Matara 79 Figure 8.13 Eye diagram of X] at Kandy FFTS via Matara 80 Figure 8.14 Eye diagram of X2 at Kandy FFTS via Matara 80 Figure 8.15 Eye diagram of X} at Kandy FFTS via Matara 81 -iv- Figure 8.16 Eye diagram of A.4 at Kandy FFTS via Matara 81 Figure 8.17 Eye diagram of X5 at Kandy FFTS via Matara 82 Figure 8.18 Eye diagram of at Kandy FFTS via Matara 82 Figure 8.19 Eye diagram of X.7 at Kandy FFTS via Matara 83 Figure 8.20 Eye diagram of X% at Kandy FFTS via Matara 83 Figure 8.21 Output of the Kurunegala Fiber 84 Figure 8.22 Input of the Anuradhapura Fiber 85 Figure 8.23 Eye Diagram at Anuradhapura Station 85 Figure 8.24 Output of the Anuradhapura Fiber 86 Figure 8.25 Input of the Jaffna Fiber 86 Figure 8.26 Eye Diagram at Jaffna Station 87 Figure 8.27 Output of the Kandy Fiber 88 Figure 8.28 Input of the Baticaloa Fiber 88 Figure 8.29 Eye Diagram at Baticaloa Station 89 LIST OF TABLES Table 2.1 Comparison of Raman and Erbium Doped Fiber Amplifiers 27 Table 3.1 Calculation of Total Telephone Demand at the end of each Year 31 Table 4.1 Distribution of Telephone Customers in year 2001 34 Table 4.2 Nodes of the network and its traffic distribution 36 Table 5.1 Growth of Internet users and its forecast 38 Table 5.2 Distribution of Internet users by year 2015 and Bandwidth requirement 39 Table 5.3 Growth of Broadband users 40 Table 5.4 Forecast of Broadband users 42 4. Table 5.5 Distribution of Broadband users by year 2015 and Bandwidth requirement 42 Table 6.1 Traffic migration patterns from traditional PSTN to VoIP 45 Table 6.2 International and a portion of Domestic traffic as VoIP 46 Table 7.1 Capacity Requirement of each Segment 50 Table 7.2 Wavelength Requirement of the Network 51 Table 7.3 Wavelengths in the Network 53 Table 7.4 Parameters of G655 Non-Zero Dispersion Shifted Fiber 54 Table 7.5 Typical Parameters of a Booster, Pre-Amplifier and Raman Amplifier 56 Table 7.6 Distances between Nodes of the Network 57 Table 7.7 Network Segments and its particular Configuration 60 Table 7.8 Power Budgets of Segments 61 Table 7.9 Parameters required for SNR Calculations 62 Table 7.10 SNR Calculations of Segments 63 Table 7.11 Performance Budget 67 Table 7.12 Dispersion Coefficients of each wavelength 68 Table 7.13 Lengths of DCF to compensate dispersion of each Segment and OLS 69 V -vi- v ABBREVIATIONS ADP Avalanche Photo Diode ADSL Asymmetric Digital Subscriber Line ASE Amplified Spontaneous Emission BER Bit Error Rate BS Branch Station CR Calling Rate DCF Dispersion Cut-off Fiber DFB Distribution Feed Back DSF Dispersion Shifted Fiber DSL Digital Subscriber Line EDFA Erbium Doped Fiber Amplifier EOL End of Life ES Extension Station FFTS Full Fiber Terminal Station FWM Four Wave Mixing GDP Gross Domestic Product GNP Gross National Product IP Internet Protocol ITU International Telecommunication Union NF Noise Figure NI Net Income NZ-DSF Non Zero Dispersion Shifted Fiber OADM Optical Add Drop Multiplexer OLS Optical Line Section OSNR Optical Signal to Noise Ratio PC Personal Computer PCM Pulse Code Modulation PMD Polarization Mode Dispersion PSTN Public Switched Telephone Network RA Raman Amplifier SLT Sri Lanka Telecom SNR Signal to Noise Ratio SPM Self Phase Modulation SRS Stimulated Raman Scattering SSC Secondary Switching Center STM Synchronous Transport Mode -vii- TDM TRC USB VOIP WDM -viii- Time Division Multiplexing Telecommunication Regulatory Commission Universal Serial Bus Voice Over Internet Protocol Wavelength Division Multiplexing