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10Gbs Optical Data Links With DSPBased Dispersion Compensation

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220m (300m desired) of legacy (FDDI grade) multimode fiber (MMF) ... The path is paved for 10G MMF EDC to follow the leads of other large market PHYs ... – PowerPoint PPT presentation

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Title: 10Gbs Optical Data Links With DSPBased Dispersion Compensation


1
10Gb/s Optical Data Links WithDSP-Based
Dispersion Compensation
  • Norman L. Swenson
  • ClariPhy Communications, Irvine, CA
  • ISSCC 2008
  • 5 February 2008

2
Trends in High-Volume Phy ICs
  • Historically, high volume Phy ICs trend toward
    all-CMOS, all-digital
  • Reasons Performance, Reliability,
    Manufacturability, Integration
  • This talk explores whether a similar transition
    can/will occur in 10G multimode fiber optical
    networking

3
Overview
  • The Multimode Fiber Channel (10GBASE-LRM)
  • EDC Structures
  • Analog versus Digital
  • State of the Art

4
The Multimode Fiber Channel
5
The 10GBASE-LRM Application
  • High-volume enterprise applications
  • Data center and building infrastructure
  • 220m (300m desired) of legacy (FDDI grade)
    multimode fiber (MMF)
  • Emphasis on low-cost, low-power for multi-port
    designs

10GBASE-LRM is defined in 1
6
MMF Channel Impairments
  • Dispersion is primarily modal dispersion
  • Multiple modes excited, with different group
    velocities
  • Large variation in transit times for different
    modes
  • Net result Superposition creates linear
    intersymbol interference (ISI)
  • Nonlinearity can be introduced by TIA
  • ISI can vary greatly with fiber movement, stress,
    connector mating, etc.

Some typical MMF Responses (See 2)
7
EDC Structures
8
Feed-Forward Equalizer (FFE)
  • Advantages
  • Simple
  • Can be realized in analog or digital
  • Disadvantages
  • Very long length rqd
  • Noise enhancement
  • Insufficient for LRM channel

9
Decision Feedback Equalizer (DFE)
  • Advantages
  • No noise enhancement
  • Can be realized in analog or digital
  • Can be designed to mitigate nonlinear effects
  • Disadvantages
  • Sub-optimal (wastes signal energy)
  • Difficult latency issue for feedback path
  • Error Propagation

10
Maximum Likelihood Sequence Detection (MLSD)
  • Advantages
  • Theoretically optimal design
  • Makes use of all of received signal energy
  • Can be designed to mitigate nonlinear effects
  • Disadvantages
  • Complexity
  • Requires digital implementation(At least for the
    back end)

11
Analog versus Digital
12
Implementation Alternatives
  • Three alternatives
  • All-analog, analog with digital control, all
    digital
  • All topologies make use of a feed-forward filter
    front end
  • FFE conveniently illustrates tradeoffs

13
All-Analog FFE
D
D
D
Analog SignalPath
c-2
c-1
c0
c-3
S
  • Analog Signal Path
  • Summers
  • Multipliers
  • Delay line
  • Analog Signal Path Challenges
  • Accuracy limitations of arithmetic elements
  • Signal degradation with increased delay line
    length

See, for example, 3-4 for an analog FFE (no
automated control)
14
All-Analog FFE
AnalogControl
D
D
D
Analog SignalPath
c-2
c-1
c0
S
  • Analog Control
  • LMS (see c-3 coeff)
  • AGC
  • Baseline wander compensation
  • Clock recovery
  • Offset compensation
  • Analog Control Challenges
  • Inaccuracy of analog integration can cause LMS to
    misconverge
  • Accuracy limitations of arithmetic elements

See, for example, 5 for an analog DFE with
analog LMS control
15
Digital ControlAnalog Signal Path
rn
rn-1
rn-2
rn-3
D
D
D
en
Digital
D
D
D
S
Analog
-

c-2
c-1
c0
c-3
S
  • Analog path for signal, as before
  • Signal is digitized and digitally processed to
    generate control signals
  • Processing is at slower rate than data rate
  • Problems
  • Signal ADC shown has to sample at full data rate
    to generate sequential samples for LMS algorithm
  • Mismatch between digital delay line and analog
    delay line

Coefficients
DSP for LMS, AGC, Clock Recovery, Offset Comp.
Gain Control
en
Clock Control
Offset
16
Digital ControlAnalog Signal Path
en
Digital
D
D
D
S
Analog
-

c-2
c-1
c0
c-3
S
  • Replace single sampler and delay line with
    multiple samplers
  • Samplers run at sub-rate
  • Must still be high bandwidth, short sampling
    window (e.g.,
  • Problems
  • Number of samplers grows with length of tapped
    delay line
  • Analog signal path still degrades signal
  • Samplers further load delay line, worsening
    degradation

Coefficients
DSP for LMS, AGC, Clock Recovery, Offset Comp.
Gain Control
en
Clock Control
Offset
17
All-Digital
Subsample
en
Digital
D
D
D
AFE
S
Analog
-

c-2
c-1
c0
c-3
S
  • After Analog Front End, signal is digitized and
    all signal processing is digital
  • Signal is subsampled and control signals (LMS,
    timing recovery, etc.) are generated at lower
    rate
  • Challenges
  • Low power CMOS ADC at 10 Gsample/sec and5
    ENOB
  • Architecture of FFE and backend (DFE or MLSD) to
    process signal at 10 Gsym/sec

Coefficients
DSP for LMS, AGC, Clock Recovery, Offset Comp.
Gain Control
en
Clock Control
Offset
18
Solutions forHigh-Speed Digital Processing
  • ADC
  • 8-way interleave reduces clock to 1.3 GHz on each
    ADC channel
  • Pipeline architecture with open-loop residue
    amplifiers reduces power consumption
  • FFE architecture
  • Feed-forward structure allows parallelism,
    pipelining to reduce speed requirements
  • Backend architecture
  • MLSD realized with feed-forward structure via
    Sliding Block Viterbi Decoder
  • For example, window of 32 samples processes 16
    samples, then slides over 16 samples
  • 8 samples at beginning and end of window are used
    to initialize state metrics for bi-directional
    processing

r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
r r r r
19
24-Bit Sliding Block Viterbi Example
Detection
Synch
Synch
20
24-Bit Sliding Block Viterbi Example
Detection
Synch
Synch
21
24-Bit Sliding Block Viterbi Example
Detection
Synch
Synch
22
State-of-the-Art
23
All Digital 90nm CMOSMLSD Transceiver
  • See ISSCC 08 Paper 11.7 7 and Design Forum F5
    8

24
Conclusions
  • CMOS DSP-based EDC designs offer several
    advantages
  • Design predictability, manufacturability,
    integration, reliability
  • Significantly improved performance
  • They also present unique implementation
    challenges at these speeds
  • With novel architectures, advanced ADC
    techniques, and shrinking linewidths, DSP-based
    approaches can be practically realized
  • The path is paved for 10G MMF EDC to follow the
    leads of other large market PHYs and migrate to
    an all-digital CMOS solution

25
References
  • IEEE Standard 802.3AQ-2006, Physical Layer and
    Management Parameters for 10Gb/s Operation Type
    10GBASE-LRM, Sept.2006
  • 108 Fiber Model, IEEE802.3AQ Task Force,
    Oct.2004
  • H. Wu, et al, Differential 4-tap and 7-tap
    Transverse Filters in SiGe for 10Gb/s Multimode
    Fiber Optic Link Equalization, ISSCC 2003
  • P. Pepeljugoski, et al, Improved performance of
    10 Gb/s multimode fiber optic links using
    equalization, Optical Fiber Communications
    Conference, 2003. OFC 2003
  • D. McPherson, et al, A 10 Gb/s adaptive
    equalizer with integrated clock and data recovery
    for optical transmission systems, Optical Fiber
    Communication Conference, 2005. Technical Digest.
    OFC/NFOEC
  • P. Black and T. Meng, A 1Gb/s four-state,
    sliding block Viterbi decoder, IEEE J.
    Solid-State Circuits, Vol.32, pp.797-805, June
    1997.
  • O. Agazzi, et al, A 90nm CMOS DSP MLSD
    Transceiver with Integrated AFE for Electronic
    Dispersion Compensation of Multi-mode Optical
    Fibers at 10Gb/s, ISSCC 2008, Paper 11.7
  • O. Agazzi, DSP-Based Optical Transceivers for
    Electronic Dispersion Compensation of Single-Mode
    and Multimode Fibers, ISSCC 2008, Design Forum F5

Acknowledgment
Oscar Agazzi is gratefully acknowledged for
helpful discussions contributing to this
presentation.
26
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