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Optical Signal Property Synthesis at Runtime
Andy DobersteinKeysight, GermanyMay 2015
A new Approach for Coherent Transmission Stress Testing
Optical Signal Synthesis at Runtime
Page 2Outline
1. Test strategies for coherent optical receivers
• Requirements and challenges of next generation optical transmission networks
• Optical receiver stress testing and current limitations
2. Introducing DSP processing into AWG based optical signal synthesizer
• Overview of real-time processing architecture
• Clean signal generation / Generation of optical signal properties
3. Summary
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Test strategies for coherent optical receivers
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Next generation optical transmission systemsChallenges and requirements
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ROADM: reconfigurable optical add-drop multiplexerEDFA: Erbium-doped fiber amplifierWXC: Wavelength cross connect
Increasing demand:end-user services (e.g. streaming), cloud computing applications with different QoS requirements
Transmission impairments (stochastic/deterministic nature) :e.g. CD, PMD, ASE noise, non-linear distortions, filtering/ ROADM concatenation
Needs network management:- Cognitive and adaptive optical networks- Condition monitoring to guarantee QoT- Reconfigurable transmitter and receivers
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Key element: Coherent optical receiverBasic block diagram
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- Traditional receiver stress testing has different drawbacks:
• All optical fiber testbed subject to stochastic processes
• Lack of well-defined and reproducible worst-case stress conditions for coherent receiver testing
• Inflexible, costly structure
Coherent receiver testingTraditional test setup
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Reference TX or golden
line card
Pattern generator
Fiber testbed
Coherent Receiver
Error Detection
DUT
Page
Coherent receiver testingAWG based optical signal synthesis
Reference TX or golden
line card
Pattern generator
Fiber testbed
Coherent Receiver
Error Detection
Optical Signal Synthesizer
Coherent Receiver
Error Detection
DUT
Laser source MZ
MZPBS PBC
E/O
Memory
D/AD/A
D/AD/A
AWG
Example: 256Gb/s channel- 64GSa/s sampling rate- 32GBaud data rate - DP-QAM16
Page
Coherent receiver testingAWG based optical signal synthesis
Reference TX or golden
line card
Pattern generator
Fiber testbed
Coherent Receiver
Error Detection
Optical Signal Synthesizer
Coherent Receiver
Error Detection
DUT
- Benefits of AWG based signal synthesis
• Complementary setup for development of receiver algorithms
• Flexible structure allows switching of signal parameters (modulation formats, optical impairments, etc.)
• Deterministic and repeatable generation of stress conditions (incl. corner cases)
• Increased test coverage at reduced test time (→ Importance sampling)
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AWG based signal synthesisLimitation in current architecture
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– Conventional AWGs generate signal from pre-calculated waveform memory (in the range of several GBytes)→ Waveform exactly repeats after each memory loop iteration making it unfeasible to synthesize slow optical effects
Example: 16GByte waveform memory (single channel) with 64GSa/s sampling rate = 250ms play length
– Pre-calculated waveform exhibits strong correlation between undistorted data signal and emulated impairment
– Cumbersome pre-calculation / upload into AWG waveform memory (large amounts of data) making it impossible to quickly change signal and impairment parameters
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Introducing DSP processing into AWG based optical signal synthesizer
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AWG based signal synthesisAdvanced real-time processing
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Reference TX or golden
line card
Pattern generator
Fiber testbed
Coherent Receiver
Error Detection
Optical Signal Synthesizer
Coherent Receiver
Error Detection
DUT
D/AD/A
D/AD/A
AWG Laser source MZ
MZPBS PBC
E/O
DS
P
Mem
ory
NEW
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- Similar structure as in receiver but in reverse order
- Blocks enabled or bypassed individually
- Impairments generated independently of „clean“ signal → better decorrelation
- Coefficient banks and pattern memories can be programmed at run-time
Novel architectureAdding real-time processing into signal synthesizer
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Comparison Waveform playback vs. real-time processing
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Operation Waveform mode(conventional operation )
Real-time processing mode
Memory usage Pre-calculated samples representing waveform Only symbol pattern stored
Signal parameter change
Complete re-calculationCoefficients / pattern update at
runtime
Continuous playWaveform loops at end requiring matching
begin and endSymbol pattern loops at end
independently on real-time blocks
Signal pre-distortion
Pre-distortions (frequency response, skew, etc.)calculated into waveform
Filter coefficients update at runtime
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AWG with advanced Tx-DSP functionalityArchitectural overview
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Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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Clean signal generation
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Clean signal generationBasic blocks
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byp
asse
d
bypa
ssed
Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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Clean signal generationBasic blocks
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byp
asse
d
bypa
ssed
Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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Encoding examples:
QPSK QAM16 QAM16
QAM64 QAM128
Clean signal generationSymbol encoding
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- Encoding up to QAM256
QPSK
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Clean signal generationPulse shaping (interpolation filter)
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- Generic FIR filter with 32 taps (at 32GBaud symbol rate)- Time-domain pulse shaping for increased spectral efficiency
Exemplary constellation and eye diagrams for QAM-16 signal filtered with raised cosine filter
a = 0.05 (Narrowest spectrum) a = 1.0 (Best Q-Factor)
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 10
0.2
0.4
0.6
0.8
1
Normalized frequency
Pow
er s
pect
rum
(lin
ear)
Raised Cosine Filter
= 1 = 0.7 = 0.35 = 0.05
-1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1-20
-15
-10
-5
0
5
Normalized frequency
Pow
er s
pect
rum
(lo
garit
hmic
)
Raised Cosine Filter
= 1 = 0.7 = 0.35 = 0.05
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Generation of optical signal properties and impairments
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Optical signal property synthesisPhase noise & carrier frequency offset
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Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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Electrical field of unmodulated carrier signal (single-mode semiconductor laser)
Adding artificial phase noise / frequency offset (t)
Optical signal property synthesisPhase noise & carrier frequency offset
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𝑐 (𝑡 )=𝐸 ∙𝑒𝑥𝑝 ( 𝑗 [2𝜋 𝑓 0 𝑡+𝜑 (𝑡 ) ] )
Amplitude of electrical field
Carrier frequency Intrinsic phase noise
𝑐 (𝑡 )
𝑒 𝑗 𝜃 (𝑡 )
𝑐 ′ (𝑡 )
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- Pre-programmed pattern contains rotation angles calculated on basis of laser phase noise model
• Laser linewidth• Flicker noise / Random walk noise
Optical signal property synthesisPhase noise & carrier frequency offset
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Clean signal Emulated phase noiseExemplary phase pattern emulating desired phase noise parameters
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Optical signal property synthesisPolarization control/rotation
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Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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- Generation of polarization rotation patterns based on underlying optical model
- Pattern parameters and stored in pattern memory and played repetitively
- Adjustable pattern advance rate to meet required SOP change rate from few rad/s to Mrad/s
Optical signal property synthesisPolarization control/rotation
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[ 𝑋 𝐼 ′+ 𝑗𝑋𝑄 ′𝑌 𝐼 ′+ 𝑗𝑌𝑄 ′ ]=[𝑊 𝑥𝑥 𝑊𝑥 𝑦
𝑊 𝑦 𝑥 𝑊 𝑦𝑦] ∙ [𝑋 𝐼+ 𝑗𝑋𝑄
𝑌𝐼+ 𝑗𝑌𝑄 ]Formula of 1-tap butterfly filter with scalar, complex coefficients Wxx, Wxy, Wyx and Wyy
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Optical signal property synthesisPolarization control/rotation
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Examples of polarization rotation patterns with exemplary histogram of SOP change rate
- Great circle pattern
- „Slicer“ pattern
SOP rate of change distribution
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Optical signal property synthesisPolarization control/rotation
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Examples of polarization rotation patterns with exemplary histogram of SOP change rate
- Great circle pattern
- „Slicer“ pattern
Measured trajectories on optical modulation analyzer (N4391A)
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Optical signal property synthesisPMD emulation
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Architecture of AWG with real-time processing using the example of a Keysight M8195A prototype
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Optical signal property synthesisPMD emulation
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- Model: concatenation of 7 birefringent segments with same retardation but variable axes orientation and residual phase
- Retardation = 2 / samplerate (i.e. 31.25ps @64GSa/s) resulting in max. first-order PMD of 218ps
- Digital time-domain representation as 7-tap butterfly FIR structure, with programmable, complex impulse responses hxx, hxy, hyx and hyy
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Optical signal property synthesisPMD emulation
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Addressable PMD space with shown modelat 64GSa/s sampling rate:• First order PMD: up to 218ps• Second order PMD: up to 11500ps2
Addressable PMD space
0 20 40 60 80 100 120 140 160 180 200 2200
2000
4000
6000
8000
10000
12000
First-order PMD [ps]
Sec
ond.
orde
r P
MD
[ps
2 ]
-50 -40 -30 -20 -10 0 10 20 30 40 500
50
100
150
200
DG
D (
ps)
-50 -40 -30 -20 -10 0 10 20 30 40 500
5000
10000
SO
PM
D (
ps2 )
-50 -40 -30 -20 -10 0 10 20 30 40 50-4000
-2000
0
2000
4000
Relative frequency (GHz)
PD
CD
(ps
2 )
PMD spectra (exemplary settings)
32G channel spectrum
- Red dots: selected states from 7 segment model
- Green dots: selected states from 6 segment model
- Blue dots: simulated random states
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Summary
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- Next generation optical transmission systems require cognitive networks and network condition monitoring to meet demanded quality of service (QoS) for future applications.
- Powerful DSP algorithms in coherent receivers are one key element for mitigating optical signal impairments occurring in transmission path and ensuring required quality of transmission (QoT).
- Real-time processing features in enable deterministic and repeatable stress conditions for development and tolerance testing of coherent receivers, thus increasing test coverage at reduced test time.
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Question & Answers
Thank you!
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