Upload
others
View
4
Download
0
Embed Size (px)
Citation preview
Name:
Company:
Master-class 4: Updates to
Transmission Technology
Ronald Freund Masaaki Hirano Tony Frisch
HHI Sumitomo Electric Xtera
Moderator
Pierre Mertz
Infinera
Copyright © SubOptic2019 Slide 2
Name:
Title:
Email:
Ronald started his career in 1996 as a co-founder of VPI Photonics
and then moved to Fraunhofer Heinrich Hertz Institute, where he is
currently leading the department Photonic Network and Systems
with the focus on high-capacity submarine and core networks, high-
speed access networks as well as satellite and quantum
communication networks (www.hhi.fraunhofer.de/pn).
In 2017 he was appointed Professor for Photonic Communication
Systems at the Technical University of Berlin. He holds a MBA from
RWTH Aachen.
Ronald Freund
Head of Department
Copyright © SubOptic2019 Slide 3
Name:
Title:
Email:
Masaaki Hirano
Manger of Optical Fibre Engineering
Hirano joined Sumitomo Electric Industries, Ltd. in 1997 and has
been engaged in R&D on various specialty optical fibres including
low-loss fibre, dispersion-shifted fibre, high-nonlinearity fibre, etc.
He is now a group leader at optical fibre engineering and market
development, responsible for submarine fibres.
Copyright © SubOptic2019 Slide 4
Name:
Title:
Email:
Tony started at BT's Research labs and then moved to Alcatel
Australia, becoming involved in testing and commissioning
submarine systems.
A move to Bell Labs gave him experience in terminal design and
troubleshooting, after which he went to Alcatel France, eventually
heading subsea Product Marketing.
He joined Xtera in 2004 and is now CTO.
Tony Frisch
CTO
Copyright © SubOptic2019 Slide 5
1. Basics
– Shannon and Nyquist Laws
– Power, cost, complexity
– Coherent transmission
2. Building Blocks
– Constellations
– Amplifiers
– Fibre
– FEC
3. Possible future technology
– SDM
Contents
TF
Long
High-capacity
Systems
Unrepeatered
Systems
(UR)
Regional
Systems
Upgrade
(Legacy)
Systems
Long
High-capacity
Systems
Copyright © SubOptic2019 Slide 6
A brief history of transmission
1Gb/s
1Tb/s
1Pb/s
Cable
Capacity
1985 1990 1995 2000 2005 2010 2015 2020 2025
SMF DSF
+
NZDSF DMF Low-loss
Large CoreFuture
Fibre
Dig. CoherentWDMOpt.
Amplification
FEC, DWDMRegenerated
Soft FEC
SDM?
Copyright © SubOptic2019 Slide 7
• No major change is subsea amplifier bandwidth
Nearly all system are C-band-only: a few C+L
• Fibre attenuation dropped from 0.17 dB/km to 0.15 dB/km and
Effective area increased to 150 micron2 in the last decade
• Significant improvements in DSP modules
DSP = Digital Signal Processing
• Interesting research on non-linear mitigation,
multi-mode propagation …
Recent developments
TF
Copyright © SubOptic2019 Slide 9
TTE
TTE = Terminal Transmission Equipment
SLTE = Submarine Line Terminating Equipment
PFE = Power Feed Equipment
Typical subsea system
TTELoss
A
PFE PFE
Amp
TF
AAmp
Copyright © SubOptic2019 Slide 10
• Cost is important
Quite a lot of fixed cost e.g. marine, environmental impact etc.
=> Maximise capacity to optimise cost per bit
• Repairing subsea plant is difficult, so reliability is important
– favours simplicity
• Power has to be fed along cable to subsea amplifiers
– lowest cable resistance currently 0.6 ohm/km
– power is the ultimate practical limit to capacity
Practical constraints
TF
Copyright © SubOptic2019 Slide 11
I = In-phase
• On Off Keying (OOK) Q = Quadrature
Phase not important
• Phase Shift Keying (PSK)
Quadrature Amplitude Modulation (QAM)
• Phase and amplitude are modulated
• Points generally represent >1 bit
Coherent transmission
0
1
0180
90
270
Q
I1
1
0001
11 01
0180
90
270
TF
Copyright © SubOptic2019 Slide 12
• Add receive signal to Local oscillator
• Convert to electrical signal
• Analogue to Digital Conversion
• Estimate "carrier frequency"
• Separate polarisations
• Compensate for dispersion
• Compensate for non-linearity (optional)
• Decode constellation
• Decode FEC
Coherent detection
~
DSP
Local oscillator
λ/4ADC
ADC
ADC
ADC
Simplified – each detector is
usually differential
Signal
TF
Copyright © SubOptic2019 Slide 13
• Constellations with 4-16 points = 2-4 bits per symbol
2 polarisations
x 30 Giga symbols per second
x 2 bits per symbol
= 120 Giga bits per second
20% FEC overhead
100G per wavelength
37.5 GHz grid
2.7 bits/s/Hz
Common constellations
16QAM
QPSK
8QAM
4 bits
2 bits3 bits
TF
Copyright © SubOptic2019 Slide 14
More capacity by increasing:
1. Number of constellation points
2. Symbol rate
3. Number of wavelengths
Publications
up to 256QAM = 8 bits/symbol
up to 80 Gbaud
up to 300
Main trend / objective
TF
Copyright © SubOptic2019 Slide 15
Demonstrations
20T
40T
2012
Year
2010 2014 2016 2018 2020
60T
80T
Capacity
per fibre
Installed systems (Infinera, MAREA)
(NEC & Google, FASTER)
Laboratory
TF
Copyright © SubOptic2019 Slide 16
• For a bandwidth of B (Hz)
the maximum symbol rate is:
• B symbols per second
• Assumes a sin(t) pulse shape
t
• Latest modules shape pulses using DACs to approximate this
[ DAC = Digital to Analogue Converter ]
• Higher symbol rate = larger bandwidth = more noise
Nyquist’s law
-0.30
0.20
0.70
1.20
-3 -2 -1 0 1 2 3
Am
plit
ude
Time
TF
Copyright © SubOptic2019 Slide 17
• Maximum information capacity is: B·log2( 1 + SNR )
• Approximately (optical): 2B·log2( )
• Ideal; assumes a linear system
• Different constellations
need different SNR
Shannon’s law
Popt
Noise
QPSK
16QAM
BPSK
TF
Copyright © SubOptic2019 Slide 18
BPSK
QPSK
8QAM
16QAM
32QAM
64QAM
0
3
6
9
12
15
18
1 2 3 4 5 6 7
Required O
SN
R (
dB
) re
fative
to B
PS
K
Bits per symbol / Relative symbol rate
Shannon - SNR
Constellations
Shannon - BW
Shannon’s law
TF
Copyright © SubOptic2019 Slide 19
QPSK, 8QAM & 16QAM
0
5
10
100
Capacity per wavelength
200150
Relative
OSNR
(dB)
Limits capacity unless SNR is just right
TF
Copyright © SubOptic2019 Slide 20
Intermediate modulation schemes
Ideal case
0
5
10
100
Capacity per wavelength
200150
Relative
OSNR
(dB)
130 170
Maximises capacity for a given SNR
TF
Copyright © SubOptic2019 Slide 21
• 5 x 7 inch modules
• Offer up to 800G per wavelength
– capacity set by line design
• Steps of 25G
• Flexibility also on symbol rate,
WL grid and FEC parameters
• Most suppliers integrate
2 wavelengths in the same module
Maybe more in the future
Available modules
Source: Acacia
Communications
TF
Copyright © SubOptic2019 Slide 22
0.18
0.19
0.20
0.21
0.22
1450 1500 1550 1600 1650
Att
en
ua
tio
n (
dB
/km
)
Wavelength (nm)
Attenuation of "standard" single-mode fibre
Fibre and optical bands
S LC
Currently
not
used
MH
Copyright © SubOptic2019 Slide 23
• Low attenuation 0.150-0.156 dB/km available
• See OP-18 for details of 0.14 dB/km
• Negligible cabling loss– Index profile
– Multi-layer coatings
• Low non-linearity– Large effective area 130-150 micron2
– High chromatic dispersion ~20 ps/km/nm
Fibre
MH
Hard secondary resin
Soft primary resin
Glass
Copyright © SubOptic2019 Slide 25
• Initially Reed-Solomon, then Product codes, now Soft Decision
• Q limit (typically at BER = 1E-13)
11 dB (RS hard decision)
8 dB (Product hard decision)
5 dB (Soft decision)
• 5 dB means correction of around 1 error per 25 bits (average)
Forward Error Correction (FEC)
TF
Copyright © SubOptic2019 Slide 26
Hard-decision FEC
• Decide what symbol was detected
• Apply FEC decoding
• Fails if error probability is too high
Soft-decision FEC
• Uses the symbol value before
decoding to determine if an error
is likely
Principle of soft-decision FEC
12
0010
11 01
TF
Q ≈ 6
Copyright © SubOptic2019 Slide 27
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
100.0%
0 1 2 3 4 5 6 7 8 9
Code O
verh
ead
Q Limit (dB)
• Higher coding gain needs more overhead = more processing
• Overhead starts to reduce data capacity as Q limit decreases
FEC limits
SD
HD
TF
Copyright © SubOptic2019 Slide 28
• EDFA
• NF ~4.5 dB
+ Compact
+ Low consumption
– Bandwidth limited to C-band, ~40 nm
• Most common in subsea (and terrestrial) systems
Fibre-based amplifiers
PEDF
RF
Copyright © SubOptic2019 Slide 29
• C + L using couplers
• NF ~4.5 dB
+ Essentially the same technology
+ Bandwidth ~70 nm
– Loss of splitter and coupler
– L amplifier generally more complex than shown
• Only one supplier offering this
Fibre-based amplifiers
PEDF
PEDF
C
L
RF
Splitter Combiner
Copyright © SubOptic2019 Slide 30
• Distributed Raman
• Amplification occurs in the cable
• NF 0-3 dB
+ Low noise
+ Bandwidth up to 100 nm
– Needs several high power Raman pumps
• Not used in subsea amplifiers, but good for unrepeatered systems
Fibre-based amplifiers
C
P
Raman
P P
RF
different
wavelengths
Copyright © SubOptic2019 Slide 31
• EDFA + Raman
• NF ~2.5 dB
+ Low noise
+ Bandwidth ~70 nm
– Needs Raman pump as well EDFA Pump – similar powers
• Only one supplier offering this
Fibre-based amplifiers
PEDF
C
P
Raman
RF
Copyright © SubOptic2019 Slide 32
• SOA
• Anti-reflective coating to prevent lasing
• NF 6-10 dB
+ Compact
+ Low consumption
+ Large bandwidth >100 nm
– Noise performance not so good 6-10 dB
• Used in non-telecoms applications e.g. fibre-gyroscopes
Semiconductor Optical Amplifier
Semiconductor
Diode
RF
Copyright © SubOptic2019 Slide 33
• Optical Monitoring
• Gain Flattening Filter (GFF)
• Isolator for stability
• Loop-back / OTDR path
Passive mechanism for fault location
Optical amplifier extras
PEDF
M
GFF
Loop-back
OTDR
Break
TF
Copyright © SubOptic2019 Slide 34
• ALL amplifiers generate noise
• Noise spectral density = G·hv·NF G = Gain
(for 2 polarisations) h = Planck’s constant
EDFA NF ~3 (4.5 dB) v = Frequency
EDFA-DRA ~2 (3 dB) NF = Noise Figure
• After N amplifiers
• Total noise ≈ N·G·hv·NF (assumes all sections are the same)
Amplifier noise
TF
Copyright © SubOptic2019 Slide 35
• Chromatic dispersion: different wavelengths travel at different speeds
• Reduces non-linear interaction between different wavelengths
• Most significant effect is Self-Phase Modulation (SPM)
Dispersion and non-linearity
TF
A few km
20 ps/nm/km
Cross-Phase Modulation
(XPM)
Copyright © SubOptic2019 Slide 36
0.0
1.0
2.0
3.0
4.0
0 2 4 6 8
Q c
ha
nge
(dB
)
Amplifier output change (dB)
• Benefits of increasing power are limited by non-linear effects
Non-linear effects
Real example
Linear
Measured
TF
Copyright © SubOptic2019 Slide 37
• Several solutions
1. Large core fibre
2. Modification of transmitted constellation
3. Non-linear compensation in receiver
Reducing the effects of non-linearity
TF
Copyright © SubOptic2019 Slide 38
• Increase mode field diameter: reduce power density
• Needs careful design to avoid increasing micro-bending sensitivity
1. Large-core fibre
0
0.1
0.2
0.3
0.4
0.5
0.6
-3 -2 -1 0 1 2 3
Position across fibre
Power
More power in
outer part of fibre
MHM
icro
-be
nd
ing
loss
at 1
550
nm
[dB
/km
]
1
0.1
0.01100 110 120 130 140 150 160 170
Effective Area, Aeff [mm2]
Copyright © SubOptic2019 Slide 39
• Increases the level of power that can be used
Improvement due to large-core fibre
MH
-60
2
4
6
8
-4 -2 0
110mm2
+4
Launched Signal Power; Pch [dBm/ch]
Q c
ha
ng
e [d
B]
+2
150mm2
+0.9 dB
Copyright © SubOptic2019 Slide 40
• Geometric (GCS): Modify the position of the points
• Probabilistic (PCS): Modify the relative probabilities of different points
• Need to consider both non-linear performance and carrier recovery
2. Improved constellations
Constellation shaping
Square Geometric Carrier recovery
TF
Probabilistic
Copyright © SubOptic2019 Slide 41
• Back propagation
• s → f(s + n1) s is signal, n is noise
• s → f(f(s + n1) + n2) f is a non-linear transfer function
→ f(f(f(s + n1) + n2) + n3)
→ f(f(f(f(s + n1) + n2) + n3) + n4) ...
• Compensation requires applying f-1 multiple times to derive s
• This process known as "Backward propagation"
• Very complex, but some good alternatives being developed
3. Non-linear compensation
s
n1
f
n2 n3 n4
RF
f f
Copyright © SubOptic2019 Slide 42
• Using neural network
• Nice demonstration by NEC and Google on the FASTER cable system
• Treats the transmission system as a "black box“
• Initial training allows the network to learn what output should be
based on knowing what was transmitted
Then apply this to unknown traffic
• Not as complex as digital back propagation
3. Non-linear compensation
s
n1
f
n2 n3 n4
RF
Copyright © SubOptic2019 Slide 43
1. Large core fibre commonly used solution
2. Constellation shaping slightly more complex DSP
3. Non-linear compensation much more complex DSP
0.5-0.8 dB improvement today
• Can be used in combination
Comparison
RF
Copyright © SubOptic2019 Slide 45
• Cable capacity proportional to:
number of Fibre-pairs x cores x modes x Bandwidth x log2(1 + SNR)
• Improved amplifiers Bandwidth
• Enhanced non-linear compensation SNR
• Conjugate transmission / reflection SNR
• SDM (Spatial Division Multiplexing) Fibre pairs
– Multi-core fibres Fibre cores
– Multi-mode fibres Fibre modes
Possible technologies
RF
Copyright © SubOptic2019 Slide 46
P P P
• Possible with Raman – greater than 100 nm demonstrated
• Good noise figure
• BUT
– more pumps
– more power
– more complexity
• A good solution where power is not a limitation
Example: Unrepeatered systems
Even greater bandwidth amplifiers
P
Raman
P P
RF
Copyright © SubOptic2019 Slide 47
Not easy to find practical realisation
Optical Phase Conjugation (OPC)
Transmitter ReceiverFiber Fiber
EDFA EDFA
Fiber Fiber
EDFA EDFA
Signal
field, A
λ
Conjugated
signal field, A*
λ
Transmitter ReceiverFiber Fiber Fiber Fiber
EDFA EDFA EDFA EDFA
Low launch
powers
Linear
distortion
High launch
powers
Nonlinear
distortion
Transmitter ReceiverFiber Fiber Fiber Fiber
EDFA EDFA EDFA EDFA
Low launch
powers
Linear
distortion
High launch
powers
Nonlinear
distortion
RF
Copyright © SubOptic2019 Slide 48
Phase conjugation using non-
degenerate intermodal FWM
Idler
Invers
e g
rou
p v
el.
Pump2 Pump1
Signal
Mode 1Mode 2
Phase matching
Mode 2: Average
Mode 1: Average Energy conservation:
𝜔𝑝1 +𝜔𝑝2 = 𝜔𝑠+ 𝜔𝑃𝐶
𝜔
𝜔𝑝2 𝜔𝑝1
𝜔𝑃𝐶 𝜔𝑠
Broadband operation can be achieved using dispersion-engineered waveguide
EDFA
Pump 2
32-Gbaud
QPSK Transmitter
Coherent
Receiver
× N
EDFA SSMF
80 km
× N
EDFA SSMF
80 km
PC
Pump 1
ECLSiP
UB-PSP
ECL
Filter
LP01
LP11a
De
mu
x
Mu
x
LP11a
LP01
Dual-pump Optical Phase Conjugator
RF
Copyright © SubOptic2019 Slide 49
PEDF
L
+ Saves fibre
– Adds couplers
– More complex L amplifier
+ Saves power
+ Simpler
– More fibre (or cores)
C + L or C + C?
PEDF
C
PEDF
PEDF
C
C
TF
Copyright © SubOptic2019 Slide 50
• Power reduction is significantly greater than Q change
-60
2
4
6
8
-4 -2 0 +4Launched Signal Power; Pch [dBm/ch]
Q c
hange [d
B]
+2
110mm2Effective area is not critical
150mm2
10
Also reduce power
TF
Low attenuation is valuable
Copyright © SubOptic2019 Slide 51
• Affects consumption by changing the power needed from the amplifier
• Example: 100 km spacing
0.01 dB/km reduction
= 1.00 dB per section
= 20-25% more amplifiers for the same total consumption
Attenuation
TF
Copyright © SubOptic2019 Slide 52
• Highly desirable to maintain cable size
Cost, Handling, Length that can be loaded …
Typical cable
Source: Nexans ~3 mm
Loose packing
17-18 mm
TF
Copyright © SubOptic2019 Slide 53
Coating
Fibre
Possible SDM routes
0.25 mm
Individual Fibre
Multi-Mode Fibre
3
Multi-core Fibre
2
TF
36 Fibres
0.5 mm
1
Copyright © SubOptic2019 Slide 54
• OP-10 "Low-loss multi-core fibers for submarine transmission"
Possible SDM fibres
Single-core fibre
0.15 dB/km
SiO2
2 core fibre
0.16 dB/km
SiO2
4 core fibre
0.16 dB/km
SiO2
Needs MIMO
Multi-mode fibre
0.23 dB/km
GeO2+SiO2
Needs MIMO
MH
Copyright © SubOptic2019 Slide 55
• More compact, so will fit in existing tubes
• Core interaction is an issue
• Will probably need individual amplifiers
Cladding pumped amplifier doesn’t solve:
Gain flattening
Loop-back / OTDR coupling
Multi-core fibres
NF 1 dB
worse
Pumppower
TF
Copyright © SubOptic2019 Slide 56
• By changing the core, a fibre
can propagate several modes
• Each could carry different data
• It is relatively easy to create
multi-mode EDF amplifiers,
which avoids problems
coupling fibre to amplifier
• BUT
• What will the performance of
multi-mode fibre be like?
Micro-bending?
Mode coupling?
• How are the modes coupled
into the fibre and separated at
the end?
Multi-mode fibres
TF
Copyright © SubOptic2019 Slide 58
• New types of amplifier Not soon
• Larger core fibre No; SDM instead
• Better non-linear mitigation No; SDM instead – upgrades?
• Improved FEC Getting harder to improve?
• More flexible constellations Better granularity
• Lower consumption DSP Yes
• Spatial Division Multiplexing (SDM) Yes
• Multi-core fibre Some challenges
• Multi-mode fibre Mode mixing?
Summary – to provoke questions!
TF
Don’t take too seriously