University of Peloponnese Adaptive Optical Technologies for Optical

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University of Peloponnese Adaptive Optical Technologies for Optical Transmission Systems Maki Nanou, George-Othon Glentis,

University of Peloponnese Adaptive Optical Technologies for Optical Transmission Systems Maki Nanou, George-Othon Glentis, Kristina Georgoulakis, Chris Matrakidis, Christina (Tanya) Politi, Alexandros Stavdas

Outline v Basic Concepts of Optical Communications v Fiber Impairments & Compensation Techniques v

Outline v Basic Concepts of Optical Communications v Fiber Impairments & Compensation Techniques v Optical Transmission Simulations v Results v Conclusion University of Peloponnese Dept. of Inform. & Telecommunications

Traffic Growth (*) Cisco Forecast Until 2000: Voice Traffic dominates 60% / year 20%

Traffic Growth (*) Cisco Forecast Until 2000: Voice Traffic dominates 60% / year 20% / year After 2004: Data Traffic dominates Traffic growth of 60% per year outstrips the growth in capacity of commercial systems. While the entire traffic in North American core Network could be carried on a single fiber until 2008, in 2011 more than two fibers were required. Every 3 years the required number of fib will double. Increased capacity ↔ Advanced Modulation University of Peloponnese Formats

Non Return To Zero – On – Off Keying Output Intensity quaternary point bias

Non Return To Zero – On – Off Keying Output Intensity quaternary point bias v Most commonly used (widely deployed) v OOK: switching ON and OFF the amplitude of an optical carrier signal (Intensity Modulation Only) Input v External Modulation: biased at the Voltage t LASER MZM optical signal Vπ swing quadrature point of the MZM transfer function, and driven by an electrical binary NRZ-ASK signal with peak-topeak amplitude of Vπ. v Simple Tx/Rx Configurations University of Peloponnese Dept. of Inform. & Telecommunications

Differential Phase Shift Keying - DPSK Output Intensity minimum point bias t LASER MZM

Differential Phase Shift Keying - DPSK Output Intensity minimum point bias t LASER MZM o Nearly constant envelope – higher tolerance to non linear effects v Higher receiver sensitivity due to the t 3 d. B lower OSNR requirement to Input Voltage achieve a specific BER. optical signal precoder electrical NRZ data v. Phase Modulation Only 2 Vπ swing v External MZM biased at minimum point and driven with a precoded binary data with twice the switching voltage required for NRZ – OOK (2 Vπ) v More complex Tx /Rx Design University of Peloponnese Dept. of Inform. & Telecommunications

Fiber Impairments in Single Channel Systems Linear Losses Non Linear Dispersion SMF Tx SPM

Fiber Impairments in Single Channel Systems Linear Losses Non Linear Dispersion SMF Tx SPM inserts ASE noise DCF G compensates SMF losses G compensates dispersion University of Peloponnese Dept. of Inform. & Telecommunications compensates DCF losses Rx

Chromatic Dispersion Effect Every different f travels with different velocity 1 0 1 input

Chromatic Dispersion Effect Every different f travels with different velocity 1 0 1 input pulse Optical Fibre Dispersion Parameter: DSMF Length of Transmission: LSMF 1 1 1 ISI t Some broadening t Severe broadening v Dispersion tolerance is inversely proportional to the square of the operating bitrate and consequently limitations due to dispersion become more stringent as bit rate increases. v As a linear effect, dispersion can be compensated by means of a DC fibre, providing that the exact amount of dispersion is known in advance. DDCF*LDCF=-DSMF*LSMF University of Peloponnese Dept. of Inform. & Telecommunications

Electronic Equalization v EE attempts to reverse the distortion incurred by a signal transmitted

Electronic Equalization v EE attempts to reverse the distortion incurred by a signal transmitted through a channel. v It can be a simple linear filter or a complex algorithm. Electric Filter Clock Recovery y(n) y(t) ADC PIN Receiver (Rx) I(n) Electronic Equalizer v EE are applied after the receiver o no need in intervening in the already installed fibre links v Can cope with variable amounts of dispersion University of Peloponnese Dept. of Inform. & Telecommunications

Electronic Equalization v In our case we investigate the performance of the following equalizers:

Electronic Equalization v In our case we investigate the performance of the following equalizers: • Linear Transversal Equalizer – LTE • Decision Feedback Equalizer – DFE • Volterra Decision Feedback Equalizer - VDFE v All equalizers operate at supervised mode, where a training sequence, known by the receiver is transmitted, in order to train the equalizers about the channel characteristics. v Fractional spacing is employed as in this case the performance of the equalizers becomes less sensitive to the sampling phase of the receiver. University of Peloponnese Dept. of Inform. & Telecommunications

Linear Transversal equalizer - LTE is the simplest form of electronic equalizers. The incoming

Linear Transversal equalizer - LTE is the simplest form of electronic equalizers. The incoming signal is processed by a linear filter. In order to retrieve the transmitted sequence, FS-LTE operates according to: University of Peloponnese Dept. of Inform. & Telecommunications

Decision Feedback equalizer - DFE consists of two parts: a Feed forward part that

Decision Feedback equalizer - DFE consists of two parts: a Feed forward part that is driven by the received waveform and a Feedback part that is driven by the estimations of the previous symbols. FS-DFE operates according to: The performance of linear equalizers is constrained when applied to non linear systems.

Non Linear Photodetector v The main reason of non linearity in optical systems is

Non Linear Photodetector v The main reason of non linearity in optical systems is induced by the detector during the conversion of optical to electrical. v Photodiode operates on a square law principle, in which the output of the detector is proportional to the intensity (i. e. , the square of the input signal magnitude). v Although it is a simple circuit, it is nonlinear and as such it is difficult to correct linear distortions such as CD. University of Peloponnese Dept. of Inform. & Telecommunications

Volterra Decision Feedback equalizer - VDFE Simplified VDFE used: University of Peloponnese Dept. of

Volterra Decision Feedback equalizer - VDFE Simplified VDFE used: University of Peloponnese Dept. of Inform. & Telecommunications

Complexity Calculations University of Peloponnese Dept. of Inform. & Telecommunications

Complexity Calculations University of Peloponnese Dept. of Inform. & Telecommunications

Simulation Setup SMF Tx BER Estimation w/o EDC DCF G G Rx equalizer Transmission

Simulation Setup SMF Tx BER Estimation w/o EDC DCF G G Rx equalizer Transmission Span (x N) BER Estimation with EDC 10 Gb/s bitrate 10 spans x 100 km (1000 km) 40 Gb/s bitrate 3 spans x 100 km (300 km) University of Peloponnese Dept. of Inform. & Telecommunications

Unncompensated Results 380 km 250 km 400 km 200 km 300 km 200 km

Unncompensated Results 380 km 250 km 400 km 200 km 300 km 200 km 150 km University of Peloponnese Dept. of Inform. & Telecommunications

NRZ-OOK Results (1) 94% 70% 98% 80 % 85 % 87. 5 % University

NRZ-OOK Results (1) 94% 70% 98% 80 % 85 % 87. 5 % University of Peloponnese Dept. of Inform. & Telecommunications

NRZ-DPSK Results (1) OCR=70%-90% 10 Gb/s & 40 Gb/s DPSK University of Peloponnese Dept.

NRZ-DPSK Results (1) OCR=70%-90% 10 Gb/s & 40 Gb/s DPSK University of Peloponnese Dept. of Inform. & Telecommunications

Upgrading Scenario Setup Operating at 40 Gb/s Operating at 10 Gb/s SMF Tx BER

Upgrading Scenario Setup Operating at 40 Gb/s Operating at 10 Gb/s SMF Tx BER Estimation w/o EDC DCF G G Rx equalizer Total Length of 1000 km (10 spans x 100 km) 99 % OCR NRZ-OOK Dispersion Tolerance NRZ-OOK NRZ-DPSK Reduces NRZ-DPSK University of Peloponnese Dept. of Inform. & Telecommunications BER Estimation with EDC

Upgrading Scenarios Results Upgrading a system 10 -40 NRZ & DPSK University of Peloponnese

Upgrading Scenarios Results Upgrading a system 10 -40 NRZ & DPSK University of Peloponnese Dept. of Inform. & Telecommunications

Conclusion v Low cost, adaptive techniques of optical transmission, consisting of optical and electronic

Conclusion v Low cost, adaptive techniques of optical transmission, consisting of optical and electronic equalization, were studied by simulating configurations with realistic link parameters. v Here, the interplay between optical and electronic techniques for physical impairment mitigation for DD optical transmission with various performance/complexity tradeoffs, is presented. v It has become evident that even in the absence of FEC, low complexity equalizers can perform sufficiently well in conjunction with optical compensation. v Low complexity Volterra equalizers can be used to support the migration of a system from 10 to 40 Gb/s. University of Peloponnese Dept. of Inform. & Telecommunications

Q&A Thank you for your attention! This research was funded by the Operational Program

Q&A Thank you for your attention! This research was funded by the Operational Program "Education and Lifelong Learning" of the Greek National Strategic Reference Framework (NSRF) Research Funding Program: THALES PROTOMI, grant number MIS 377322. University of Peloponnese Dept. of Inform. & Telecommunications