Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry...

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Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering [email protected] EECS 294 Colloquium 4 October 2006 his presentation can be found at: ttp://www.eng.uci.edu/faculty/green/public/courses/294

Transcript of Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry...

Page 1: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Providing Infrastructure for Optical Communication Networks

Prof. Michael GreenDept. of EECSHenry Samueli School of [email protected]

EECS 294 Colloquium4 October 2006

This presentation can be found at:http://www.eng.uci.edu/faculty/green/public/courses/294

Page 2: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Friday, March 7 2003

Page 3: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Advantages of Optical Fibers over Copper Cable

• Very high bandwidth (bandwidth of optical transmission network determined primarily by electronics)• Low loss• Interference Immunity (no antenna-like behavior)• Lower maintenance costs (no corrosion, squirrels don’t like the taste)• Small & light: 1000 feet of copper weighs approx. 300 lb.

1000 feet of fiber weighs approx. 10 lb.• Different light wavelengths can be multiplexed onto a single fiber: Dense Wavelength Division Multiplexing (DWM)• 10Gb/s transmission networks now being deployed; 40Gb/s will be here soon.

Page 4: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Protocols for High-Speed Optical Networks

Synchronous Optical Network (SONET):• Provides a protocol for long-haul (50-100km) wide-area netework (WAN) fiber transmission• Basic OC-1 rate is 51.84Mb/s OC-48 (2.5Gb/s) & OC-192 (10Gb/s) are commonGigabit/10 Gigabit Ethernet (IEEE Standard 802.3):• Ethernet was invented in 1973 at Xerox PARC

(“ether” is the name of the medium through which E/M waves were thought to travel)

• Provides a protocol for local-area network (LAN) copper or fiber transmission

• 1 Gb/s links can be transmitted over twisted-pair copper• 10 Gb/s links can be transmitter over copper (short lengths) or fiber.

Page 5: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Fiber Channel:• Often used for Storage Area Networks (SAN); allows fast transmission of large amounts of data across many different servers.• Currently 1-4 Gb/s is deployed; 8Gb/s will arrive soon.

Page 6: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Some SAN Terminology

JBOD: Just a Bunch Of DisksRefers to a set of hard disks that are

not configured together.

RAID: Redundant Array of Independent (or Inexpensive?) Disks

Multiple disk drives that are combined for fault tolerance

and performance. Looks like a single disk to the rest of

the system. If one disk fails, the systems will continue

working properly.

Page 7: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Blade Servers vs. Regular Servers

See: http://www.spectrum.ieee.org/WEBONLY/publicfeature/apr05/1106for full article.

Page 8: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Barcelona, Spain:MareNostrum supercomputer cluster (2282 Blade servers)

Housed in Chapel Torre Girona (Technical Univ. of Catalonia)

Page 9: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Characteristics of Broadband Signals & Circuits

• Standard analog circuit applications: Continuous-time operation Precision required in signal domain (i.e., voltage or current) Dynamic range determined by noise & distortion

• Broadband communication circuits: Discrete-time (clocked) operation Precision required in time domain (low jitter) Bilevel signals processed

t

V

t0

V

t

V

t

Vh

Vt

Vl

Primarily digital (i.e., bilevel) operation but high bit rate (multi-Gb/s) dictates analog behavior & design techniques.

Page 10: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Typical broadband data waveform:

Length of single bit = 1 Unit Interval (1 UI)

Eye diagram

An eye diagram maps a random bit sequence to a regular structure that can be used to analyze jitter.

Page 11: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Close-up of eye diagram:

voltage swing

1 UI

Zero crossings

trise = tfall

Page 12: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

What is Jitter?

Jitter is the short-term variation of the significant instants of a digital signal from their ideal positions in time.Jitter normally characterizes variations above 10Hz; variations below 10Hz are called wander.

1. Phase noise (frequency domain)2. Jitter (time domain)3. Bit Error-Rate (end result of phase

noise & jitter)

The effects of these variations are measured in 3 ways:

Page 13: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Types of Jitter

1. Random Jitter (RJ)• Originates from external and

internal random noise sources• Stochastic in nature (probability-

based)• Measured in rms units• Observed as Gaussian histogram

around zero-crossing• Grows without bound over time

Histogram measurement at zero crossing exhibiting Gaussian probability distribution

Page 14: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Types of Jitter (cont.)

2. Deterministic Jitter (DJ)• Originates from circuit non-idealities (e.g., finite bandwidth, offset, etc.)• Amount of DJ at any given transition is predictable• Measured in peak-to-peak units• Bounded and observed in various eye diagram “signatures”

• Different types of DJ:a) Intersymbol interference (ISI)b) Duty-cycle distortion (DCD)c) Periodic jitter (PJ)

Page 15: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Consider a 1UI output pulse from a buffer:

If rise/fall time << 1 UI, then the output pulse is attenuated and the pulse width decreases.

a) Intersymbol interference (ISI)

τ <<UI

τ ≈UI

τ >UI

1UI

< 1UI

Page 16: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

0 0 1

1 0 1

ISI (cont.)

Consider 2 different bit sequences:

t = ISISteady-state not reachedat end of 2nd bit

2 output sequencessuperimposed

ISI is characterized by a double edge in the eye diagram. It is measured in units of ps peak-to-peak.

Page 17: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Double-edge

Effect of ISI on eye diagram:

Page 18: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Occurs when rising and falling edges exhibit different delaysCaused by circuit mismatches

Nominal data sequence

Data sequence with early falling edges& late rising edges

t = DCD

Eye diagram with DCD

b) Duty cycle distortion (DCD)

Crossing offset fromnominal threshold

Page 19: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

c) Periodic Jitter (PJ)

Timing variation caused by periodic sources unrelated to the data pattern.Can be correlated or uncorrelated with data rate.

Clock source withduty cycle

≠50%

Synchronized dataexhibiting correlated PJ

t1 t0

PJ =t1 − Δt0

Uncorrelated jitter (e.g., sub-rate PJ due to supply ripple) affects the eye diagram in a similar way as RJ.

Page 20: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

R

0 T

T

2

t0

T − t0

PL =1

σ 2π⋅ exp −

x 2

2σ 2

⎣ ⎢

⎦ ⎥

t0

∫ dx

PR =1

σ 2π⋅ exp −

T − x( )2

2σ 2

⎣ ⎢ ⎢

⎦ ⎥ ⎥t0

∫ dx

pL (t) =1

σ 2π⋅exp −

t 2

2σ 2

⎣ ⎢

⎦ ⎥

pR (t) =1

σ 2π⋅exp −

T − t( )2

2σ 2

⎣ ⎢ ⎢

⎦ ⎥ ⎥

Probability of sample at t > t0 from left-hand transition:Probability of sample at t < t0 from right-hand transition:

Jitter and Bit Error Rate

Page 21: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Total Bit Error Rate (BER) given by:

BER = PL + PU =1

σ 2π⋅ exp −

x 2

2σ 2

⎣ ⎢

⎦ ⎥

t0

∫ dx +1

σ 2π⋅ exp −

x 2

2σ 2

⎣ ⎢

⎦ ⎥

T −t0

∫ dx

=1

2erfc

t0

⎝ ⎜

⎠ ⎟+ erfc

T − t0

⎝ ⎜

⎠ ⎟

⎣ ⎢

⎦ ⎥

where erfc(t) ≡2

π⋅ exp

t

∫ −x 2( )dx

PL =1

σ 2π⋅ exp −

x 2

2σ 2

⎣ ⎢

⎦ ⎥

t0

∫ dx

PR =1

σ 2π⋅ exp −

T − x( )2

2σ 2

⎣ ⎢ ⎢

⎦ ⎥ ⎥t0

∫ dx =1

σ 2π⋅ exp −

x 2

2σ 2

⎣ ⎢

⎦ ⎥

T −t0

Page 22: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

t0 (ps)

log BER

σ =5ps

σ =2.5ps

σ =2.5ps :

BER ≤10−12 for t0 ∈ 18ps, 82ps[ ]

σ =5ps :

BER ≤10−12 for t0 ∈ 36ps, 74ps[ ]

Example: T = 100ps

(64ps eye opening)

(38ps eye opening)

log(0.5)

Page 23: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Bathtub CurvesThe bit error-rate vs. sampling time can be measured directly using a bit error-rate tester (BERT) at various sampling points.

Note: The inherent jitter of the analyzer trigger should be considered.

JrmsRJ

( )measured

2= Jrms

RJ( )

actual

2+ Jrms

RJ( )

trigger

2

Page 24: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Benefits of Using Bathtub Curve Measurements

1. Curves can easily be numerically extrapolated to very low BERs (corresponding to random jitter), allowing much lower measurement times.

Example: 10-12 BER with T = 100ps is equivalent to an average of 1 error per 100s. To verify this over a sample of 100 errors would require almost 3 hours!

t0 (ps)

Page 25: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

2. Deterministic jitter and random jitter can be distinguished and measured by observing the bathtub curve.

Page 26: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Advantages of Using CMOS Fabrication Process

• Compact (shared diffusion regions)

• Very low static power dissipation

• High noise margins (nearly ideal inverter voltage transfer characteristic)

• Very well modeled and characterized

• Inexpensive (?)

• Mechanically robust

• Lends itself very well to high integration levels

• SiGe BiCMOS has many advantages but is a generation behind currently available standard CMOS

Page 27: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

CMOS gates generate and are sensitive to supply/ground bounce.

Series R & L cause supply/ground bounce.Resulting modulation of transistor Vt’s results in jitter.

Page 28: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

data in clock in

Rs = 0Ls = 0

clock out

clock out

Rs = 5Ls = 5nH

clock out

data out

DDV ′

SSV ′

DDV ′

SSV ′

data out

Rs = 5 Ls = 5nH

Page 29: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Inverter based on differential pair:

• Differential operation• Inherent common-mode rejection• Very robust in the presence of common-mode disturbances (e.g., VDD/VSS bounce)

“Current-mode logic (CML)”

Page 30: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

data in clock in

Rs = 0Ls = 0

clock out

clock out

Rs = 5Ls = 5nH

clock out

data out

DDV ′

SSV ′

DDV ′

SSV ′

data out

Rs = 5 Ls = 5nH

Page 31: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Research Topics

BiCMOS 10Gb/s Adaptive Equalizer

A Novel CDR with Adjustable Phase Detector Characteristics

A Distributed Approach to Broadband Circuit Design

Page 32: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Research Topics

BiCMOS 10Gb/s Adaptive EqualizerEvelina Zhang, Graduate Student

Researcher

A Novel CDR with Adjustable Phase Detector Characteristics

A Distributed Approach to Broadband Circuit Design

Page 33: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Cable Model

Copper Cable

Where: L is the cable length a is a cable-dependent

characteristic

shorter cable

longer cable

longer cable

shorter cable

1G 10Gf

+10

0

-10-20

-30

magnitude (dB)

100M

1G 10G

f

100M

0

-100

-200

-300

phase (deg)

F (s) =e−aL s

Page 34: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Motivation

Reduce ISI Improve receiver sensitivity

40 41 42 43

t (ns)

40 41 42 43

t (ns)

0.5

0

-0.5

input waveform (V)

39

0.3

0

-0.339

output waveform (V)

100 200 300

t (ps)

0

100 200 300

t (ps)

0

0.5

0

-0.5

0.3

0

-0.3

input eye

output eye

Page 35: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Adaptive Equalizer

Implemented in Jazz Semiconductor SiGe process:• 120GHz fT npn • 0.35 CMOS

Page 36: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Equalizer Block Diagram

Page 37: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Feedforward Path

Page 38: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

f (Hz)

Veq

Vin

(dB)

Vcontrol

FFE Frequency Response

Page 39: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

teq = 75psPW = 86ps

teq = 60psPW = 100ps

2.4 2.5 2.6 2.7 2.8

t (ns)

-0.3

0

0.3

VFFE

ISI & Transition Time

• Simulations indicate that ISI correlates strongly with FFE transition time teq.

• Optimum teq is observed to be 60ps.

teq = 45psPW = 108ps

Page 40: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Slicer

Page 41: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Feedback Path

Page 42: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Transition Time Detector

DC characteristic:

−+ −VV

SV

Transient Characteristic:

t

−+ −VV

SV

• Rectification & filtering done in a single stage.

(a)

(b)

(a)

(b)

Page 43: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Integrator

( )2110 oom rrgA ||=

1m

Lint g

C=τ

intint sAs

AsH

ττ1

1 0

0 ≈+

=)(

Page 44: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Detector + Integrator

slopedetector

slopedetector

FromSlicer

tslicer=60ps

FromFFEtFFE

Vcontrol

+ _0 10 20 30 40 50

60

40

0

-40

20

-20

-60

t (ns)

Vcontrol (mV)

60ps

45ps

15ps

75ps

90ps

FFE transitionTime tFFE

Page 45: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

∑+

_Kd

Kd

Keq

tslicer teqdetector

detector

feedforwardequalizer

integrator

H(s)

Vcontrol

)(

)(

sHKK

sHKK

t

t

eqd

eqd

slicer

eq

+=1

eqd

slicer

eq

KKst

t

intτ+=1

1

intssH

τ1

≈)(

Keq = 1.5 ps/mV

Kd = 2.5 mV/ps

τint = 75ns

τadapt=τint

KdKeq

=20ns

System Analysis

Page 46: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Measurement Setup

Die under test

231 PRBS signalapplied to cable

EQ inputs

EQ outputs

Page 47: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Eye Diagrams

4-footRU256 cable

15-footRU256 cable

EQ input EQ output

4.0ps rms jitter

3.9ps rms jitter

Page 48: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Supply voltage 3.3V

Power Dissipation 350mW(155mW not including output driver)

Die Size 0.81mm X 0.87mm

Output Swing 490mV single-ended p-p

Random Jitter 4.0ps rms (4-foot cable)3.9ps rms (15-foot cable)

Summary of Measured Performance

Page 49: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Ongoing Research Investigate transition detector more thoroughly

Understand trade-off between ISI reduction and random jitter generation

Investigate compensation of PMD in optical fiber

Page 50: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Random noise in Analog Equalizer

input eye(no noise added)

output eyeISI: 6.2ps p-p

Page 51: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

input eye with added noise output eyeISI+random jitter: 23ps p-p

ISI is reduced but random jitter is increased due toamplification of random noise.

Page 52: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Decision Feedback Equalization (DFE)

Page 53: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Summing circuit:

Variable delay circuit:

Page 54: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

output eyeno noise addedISI: 6.7ps p-p

output eyerandom noise added

ISI+random jitter: 7.4ps p-p

DFE Simulations (copper)

Page 55: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

DFE Simulations (fiber)

input waveformexhibiting PMD

input eye output eyeISI: 7.9ps p-p

Page 56: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Research Topics

BiCMOS 10Gb/s Adaptive Equalizer

A Novel CDR with Adjustable Phase Detector Characteristics

Xinyu Chen, Graduate Student Researcher

A Distributed Approach to Broadband Circuit Design

Page 57: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Clock/Data Recovery Circuits

Binaryoperation

Linearoperation

• Ability to handle high bit rates• Low jitter generation• High jitter tolerance• Fast acquisition

CDR Requirements:

Page 58: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

2-Loop CDR Architecture

Is it possible for a CDR to exhibit linear (quiet) behavior and fast acquisition with a single loop?

Page 59: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Deadband PD characteristic

“Ternary” latch:

Page 60: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

CML version:

externalcontrol

Page 61: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Comparisons

Page 62: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Conventional Binary PD Hogge PD

Ternary PD;VG = 1.75V

Ternary PD;VG = 1.65V

Simulation Results

Page 63: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Varying VG During Acquisition

Page 64: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Future Work Using the variable PD characteristic as part of a lock detection circuit.

Minimizing jitter in a similar way.

Page 65: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Research Topics

BiCMOS 10Gb/s Adaptive Equalizer

A Novel CDR with Adjustable Phase Detector Characteristics

A Distributed Approach to Broadband Circuit Design

Ullas Singh, Graduate Student Researcher

Page 66: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Distributed Amplifier

• Signals travel ballistically through amplifier.• Higher gain-bandwidth product.• Naturally drives resistive load.• Trades off delay for bandwidth.

T

mmmdist C

Ng

c

g

lcc

lgGBW ==⎟⎟

⎞⎜⎜⎝

⎛⎟⎟

⎜⎜

⎛=

22 T

mconv C

gGBW =

Page 67: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Distributed Frequency Divider

Distributed divider schematic

Lumped frequency divider schematic

– Buffer delay of lumped elements can be replaced by passive element delay in distributed divider

All simulations used 0.18 CMOS

Page 68: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Distributed Frequency Divider Simulations

Input/Output waveformDivider sensitivity curve

Page 69: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Frequency Divider Layout

Area=800m*807m

Page 70: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Distributed 2-to-1 Select Circuit

Proposed distributed select circuit

Lumped select circuit Timing diagram

Page 71: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

PRBSgenerator

4:2MUX

2:1MUX

10Gb/s20Gb/s 40Gb/s

lumped circuitry distributed circuitry(180nm CMOS)

40Gb/s MUX Block Diagram

Page 72: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Simulated 40Gb/s Eye Diagram

ISI: 2ps (80mUI) p-p

0.6

0.4

0.2

0

-0.2

-0.4

-0.60 10 20 30 40 50 60 70 80

t (ps)

Vout (V)

Page 73: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Test Setup

die bondeddirectly to board

Page 74: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Measured Results

Measurements taken with Agilent 86-100C DCA-J with

80GHz plug-in module

Bit-rate: 34Gb/s (due to varactor variations)

Page 75: Providing Infrastructure for Optical Communication Networks Prof. Michael Green Dept. of EECS Henry Samueli School of Engineering mgreen@uci.edu EECS 294.

Future Research Analyze nonlinear large-signal effects & derive a clear design methodology.

Investigate possible methods of electrically (or optically?) controlling characteristic impedances of tranmission lines.