research in communications in celebration of ronald c. davidson’s 40 years of plasma physics...

Research in Communications

In celebration of Ronald C. Davidson’s40 Years of Plasma Physics Research and

Graduate Education

Adam T. DrobotTelcordia Technologies, Inc.

Piscataway, NJ 08854

Princeton Plasma Physics LaboratoryPrinceton, NJ12 June 2007

Princeton, June 12, 2007 – 2

Agenda

Introduction

Background

Technologies

Research

– Mobile Systems

– Advanced Optical

– Software

Introduction

Background

Technologies

Research

– Mobile Systems

– Advanced Optical

– Software


Introduction

The Communication Industry– Size – $2.7 Trillion worldwide, $0.9T U.S.

– Complexity Wireline, Wireless, Cable, Fiber, Satellite,

Powerline…

Voice, Data, Video…

– Pervasiveness – Global system with 1B+ subscribers

Convergence– Delivery of any service over any device or

network, to any location, using common infrastructure

The Communication Industry– Size – $2.7 Trillion worldwide, $0.9T U.S.

– Complexity Wireline, Wireless, Cable, Fiber, Satellite,

Powerline…

Voice, Data, Video…

– Pervasiveness – Global system with 1B+ subscribers

Convergence– Delivery of any service over any device or

network, to any location, using common infrastructure


Introduction

Networks – Core, Regional, Metro, LocalNetworks – Core, Regional, Metro, Local

Metro

Regional

Core

Local


Introduction

The Communication Industry

Drivers– New Services– Efficiency of Operations– Deployment of Capital

Direction– Applications and Services– IMS – IP Multimedia Subsystem– Mediating Middleware and Core Capabilities– Networks and Devices

The Communication Industry

Drivers– New Services– Efficiency of Operations– Deployment of Capital

Direction– Applications and Services– IMS – IP Multimedia Subsystem– Mediating Middleware and Core Capabilities– Networks and Devices


BackgroundBroadband Users per 100 pop. in 2000

0

5

10

15

20

25

100 1,000 10,000 100,000

GDP per Capita

Bro

ad

ba

nd

Us

ers

pe

r 1

00

po

p 2

00

0

Czeck.

TaiwanU.S

Lux.

ChinaIndia

Korea

Myanmar

Canada

Size shows population



0

5

10

15

20

25

100 1,000 10,000 100,000

GDP per Capita

Bro

ad

ba

nd

Us

ers

pe

r 1

00

po

p 2

00

3

Taiwan

Japan

U.S

Denmark

Lux.

ChinaIndia

Korea

Myanmar

Niger

Estonia

Malta

Canada

QatarCzeck.




0

5

10

15

20

25

100 1,000 10,000 100,000

GDP per Capita

Bro

ad

ba

nd

Us

ers

pe

r 1

00

po

p 2

00

5

Taiwan Japan

U.S

Denmark

Lux.

ChinaIndia

Korea

Myanmar

Niger

Estonia

Malta

Canada

Qatar

Czeck.



BackgroundInternet Users per 100 pop. in 2000

0

20

40

60

80

100 1,000 10,000 100,000

GDP per Capita

Inte

rnet

Use

rs p

er 1

00 p

op

. 200

0


Lux.

Taiwan

Japan

U.S

Denmark

ChinaIndia

Korea

Niger

Qatar

Iceland

Czeck.

Russia

Malaysia



0

20

40

60

80

100 1,000 10,000 100,000

GDP per Capita

Inte

rnet

Use

rs p

er 1

00 p

op

. 200

3


Lux.

Myanmar

Taiwan

Japan

U.S

Denmark

ChinaIndia

Korea

Niger

Qatar

Iceland

Czeck.

Russia

Malaysia



0

20

40

60

80

100 1,000 10,000 100,000

GDP per Capita

Inte

rnet

Use

rs p

er 1

00 p

op

. 200

5


Lux.

Myanmar

Taiwan

JapanU.S

Denmark

ChinaIndia

Korea

Niger

Qatar

Malaysia

Russia

Czeck.


Technologies

Basic Ingredients Computing & Processing Storage & Retrieval Networks & Interconnects

– Wired, Optical, Cable, Wireless

Software & Architectures Displays & User Devices Information & Content

Basic Ingredients Computing & Processing Storage & Retrieval Networks & Interconnects

– Wired, Optical, Cable, Wireless

Software & Architectures Displays & User Devices Information & Content


Ref: http://wi-fizzle.com/compsci/ and Intel

CPU Speed (Intel)

0.01

0.1

1

10

100

1990 1995 2000 2005 2010

Maximum Intel CPU Speed (IA-32) vs. TimeC

PU

Sp

eed

(G

Hz)

Dual core

Quad core


Chip Evolution

http://ocw.mit.edu/OcwWeb/Electrical-Engineering-and-Computer-Science/6-012Fall2003/CourseHome/index.htm

1970 1974 1978 1982 1986 1990 1994 1998 2002 2006

109

108

107

106

105

104

103

102

101

10-1

10-2

10-3

10-4

10-5

10-6

10-7

10-8

10-9

Tra

ns

isto

rs /

Ch

ip

Co

st

/ bit

(1

99

5 $

’s)

Co

st /

fun

ctio

n

DRAMcost / bitmicroprocessor


Memory:Price per Mb vs. Year (HD & RAM)

http://www.freewebs.com/adipor/Conclusion.pdf


http://en.wikipedia.org/wiki/Moore's_law

Moore’s LawDigital Cameras

Pix

els

per

Dol

lar

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005

10,000

1,000

100


1.E-08

1.E-06

1.E-04

1.E-02

1.E+00

1.E+02

1890-1899

1900-1909

1910-1919

1920-1929

1930-1939

1940-1949

1950-1959

1960-1969

1970-1979

1980-1989

1990-2000

2001-2010

MIPS

0.0001

0.01

1

100

10000

1000000

100000000

ComputingSpeed and Cost

CostSpeed$M per

MIP


StorageCapacity and Cost

Sources: IDC, "1999 Winchester Disk Drive Market Forecast and Review,“ Wall Street Journal, June 26, 2000*Telcordia projected capacity 1988-1994 & costs 2003-2010.

PetabytesShipped

Cost perGigabyte

1

10

100

1,000

10,000

100,000

1,000,000

10,000,000

1988 1992 1996 2000 2004 2008$0.01

$0.10

$1.00

$10.00

$100.00

$1,000.00

$10,000.00

$100,000.00

Cost *

Capacity *


Moore’s Law

20051985 199019801970 1975 1995 2000

40048008

8086

8080

286

386

486

PentiumP2

P3P4

ItaniumItanium 2

# transistors

1,000,000,000

100,000

10,000

1,000

1,000,000

10,000,000

100,000,000

4004

Pentium 4

Bus Control

L2 Data Cache

L2 Data CacheOp Scheduling

Ren

amin

g

Trace Cache

DecodeFetch

Inte

ger

Cor

eFPUMMX/SSE

Moore’s Law: From single transistors to CMP

Itanium 2

Integer CoreFloating Point

MIT/IBM Raw


Content DeliveryQuantity and Cost (USA 1960 2007)

Cost of transmitting 1000 words (1972 dollars)

Trillionwords

transmittedper year

1,000,000

100,000

10,000

1,000

100

10

1

0.1

0.01

0.001

0.0001

RadioTV

CATV

MoviesPhone

DataCommunication

FAX

Telegram

0.001¢ 0.01¢ 0.1¢ 1¢ 10¢ $1 $10 $100


Software ComplexitySize of Linux Kernel across Releases

0

10

20

30

40

50

60

1995 2000 2005 2010

Meg

abyt

es

Release Date


Integration Level

1970 1980 19901960 20001950 2010 2020

SoftwareIntegration Level

Year

NumericalLibraries

WebServices

WebServices

UnixSoftware

Tools

SingleFunctions

Autonomous Software

ClassLibraries

Agents


Research•Mobility•Ubiquity

•Speed•Bandwidth

• Immediacy•Relevance

5G and 6GService Networks

3G and 4G Networks

Physical Sciences


Research

1. Wireless 1. Wireless


MIMO Systems(Multiple Input Multiple Output Antenna Arrays)

Application of signal processing expertise to achieve up to ten-fold bandwidth increase for existing wireless spectrum.


Transmitter Rx ReceiverMultipathChannel

•Feedback

Transmitter Rx ReceiverMultipathChannel

•Feedback


MIMO Systems

MIMO Basics– MIMO Capacity

– Uninformed vs Informed Transmitter MIMO

– Feedback and MIMO

Advanced MIMO Receivers– Achieving Near-ML Performance: Space Time Bit Interleaved

Coded Modulation & Iterative Detection

– Soft Cancellation

MIMO Measurements– Channel Phenomenology

– High Spectral Efficiency Communications

Cognitive Adaptive MIMO Testbed– Adaptive/Cognitive Behavior

MIMO Basics– MIMO Capacity

– Uninformed vs Informed Transmitter MIMO

– Feedback and MIMO

Advanced MIMO Receivers– Achieving Near-ML Performance: Space Time Bit Interleaved

Coded Modulation & Iterative Detection

– Soft Cancellation

MIMO Measurements– Channel Phenomenology

– High Spectral Efficiency Communications

Cognitive Adaptive MIMO Testbed– Adaptive/Cognitive Behavior


MIMOChannelTransmitter Receiver

1,10,1

1,00,0

trr

t

NNN

N

hh

hh

H

1,10,1

1,00,0

trr

t

NNN

N

hh

hh

H

Element hm,n represents the complex channel between transmit antenna n and receive antenna m. H is generally a function of frequency and time.

Nt transmit antennas

Nr receive antennas

For a narrowband transmitted signal, we can express the relationship between the signals on the transmit antennas and the received signals via the matrix H.

MIMO Systems


MIMO Systems

Develop high spectral efficiency adaptive multi-user MIMO for practical communications. Advanced signal processing enables MIMO at low-to-moderate SNR in the presence of interference and mobility.

MIMO will be will allow exchange of data at extremely high rates in bandwidth limited channels with sensitivity to power limitations and LPI/LPD constraints

Develop high spectral efficiency adaptive multi-user MIMO for practical communications. Advanced signal processing enables MIMO at low-to-moderate SNR in the presence of interference and mobility.

MIMO will be will allow exchange of data at extremely high rates in bandwidth limited channels with sensitivity to power limitations and LPI/LPD constraints



Telcordia’s MIMO measurement system – 8 element 450 MHz – 3 GHz dual polarized array is shown.

Telcordia’s MIMO measurement system – 8 element 450 MHz – 3 GHz dual polarized array is shown.

Performance curves from over-the-air measurements showing zero BER operation at 25.6 bps/Hz.

Performance curves from over-the-air measurements showing zero BER operation at 25.6 bps/Hz.


MIMO Systems

Alpha = 0.75 Alpha = 0.77

2177 MHz

Alpha = 0.63 Alpha = 0.66

Configuration A(Vert Pol to Vert Pol)

Configuration B(Compact X-Pol)

LO

S L

ink

(100

m,

Sce

nario

1)

NL

OS

Lin

k(5

8 m

, S

cena

rio 5

)

V-pol ArrayV-pol Array Compact X-pol ArrayCompact X-pol Array

Demonstration of a 25 information bps/Hz link using an 8x8 MIMO system in Spring 2005

This work was supported by the Army Research Laboratory C&N CTA

Demonstration of a 25 information bps/Hz link using an 8x8 MIMO system in Spring 2005

This work was supported by the Army Research Laboratory C&N CTA

Iterative Detection ResultsIterative Detection Results

Using Telcordia’s ST-BICOM iterative detection receiver, which incorporates soft cancellation, multiple-layer iterative detection, we were able to demonstrate very high spectral efficiency at moderate SNRs.


Research

2. Optical 2. Optical


Example: OCDMA –for Future Access Networks

Development and demonstration of prototype OCDMA hardware technologies, coding schemes and transmission systems operating up to 10 Gbit/s, with high spectral efficiency.

Anticipated application of OCDMA technologies to high security environments, and to high-bandwidth PON’s.

OCDMA-PON’s support the same maximum number of users with fewer lambdas than WDM, with the ability to gracefully add bandwidth and users to the network.

Final phase of the program is a lab demonstration of a hybrid synchronous-downstream, asynchronous upstream OCDMA PON.

Development and demonstration of prototype OCDMA hardware technologies, coding schemes and transmission systems operating up to 10 Gbit/s, with high spectral efficiency.

Anticipated application of OCDMA technologies to high security environments, and to high-bandwidth PON’s.

OCDMA-PON’s support the same maximum number of users with fewer lambdas than WDM, with the ability to gracefully add bandwidth and users to the network.

Final phase of the program is a lab demonstration of a hybrid synchronous-downstream, asynchronous upstream OCDMA PON.

• OCDMA: Optical Code Division Multiple Access• PON: Passive Optical Network• GPON: Gigabit Passive Optical Network

• OCDMA: Optical Code Division Multiple Access• PON: Passive Optical Network• GPON: Gigabit Passive Optical Network


Network operations &

control

A

B

C

Codeconverter

DxA

Compatible with existing fiber in the ground including the splitter

Programmable OCDMA Code Conversion: Central Office to Home

D

Example: OCDMA –For Beyond GPON


What makes it work– It is an overlay network operating

in an existing WDM window in harmony with other traffic

– It is robust to brute force attack: as good as electronic encryption

– It offers inexpensive passive optical means suitable for 10 Gb/s and beyond data rates.

What makes it work– It is an overlay network operating

in an existing WDM window in harmony with other traffic

– It is robust to brute force attack: as good as electronic encryption

– It offers inexpensive passive optical means suitable for 10 Gb/s and beyond data rates.

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tical p

ow

er (d

Bm

)

wavelength (nm)

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tic

al p

ow

er (

dB

m)

wavelength (nm)

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tic

al p

ow

er (

dB

m)

wavelength (nm)

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tic

al p

ow

er (

dB

m)

wavelength (nm)

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tic

al p

ow

er (

dB

m)

wavelength (nm)

1559.0 1559.5 1560.0 1560.5

-60

-50

-40 (a)

op

tic

al p

ow

er (

dB

m)

wavelength (nm)

1559.0 nm 1560.5 nm

Star couplerUsers within secure campusDynamic scrambling coder

How financial campuses are connected

Example: OCDMA –Physical Layer Security


Physical layer security– Optical CDMA

Compatibility with WDM systems Useful for Multiple Access, PON’s, or

enhanced security

– ‘Quantum’ networking Quantum encryption Quantum key distribution Use quantum effects to provide

‘absolute’ or very high levels of security at the physical layer

Focus on techniques compatible with real-world networks: Demonstrated coexistence of with multiple high power DWDM signals over metro-scale and greater fiber transmission links

Quantum repeaters Quantum Testbed

Optical Packet networks ‘Small buffer’ network performance Optical label switched technology

Physical layer security– Optical CDMA

Compatibility with WDM systems Useful for Multiple Access, PON’s, or

enhanced security

– ‘Quantum’ networking Quantum encryption Quantum key distribution Use quantum effects to provide

‘absolute’ or very high levels of security at the physical layer

Focus on techniques compatible with real-world networks: Demonstrated coexistence of with multiple high power DWDM signals over metro-scale and greater fiber transmission links

Quantum repeaters Quantum Testbed

Optical Packet networks ‘Small buffer’ network performance Optical label switched technology

Architectural vision for securingDWDM optical networks with QKD

Example: OCDMA –Novel Network Topologies


Compatibility with commercial WDM…this is an overlay technology

“Security” for 100 GbE possible NOW …against exhaustive & archival attacks

Optical integration…very compact technology allows wide

application

Compatibility with commercial WDM…this is an overlay technology

“Security” for 100 GbE possible NOW …against exhaustive & archival attacks

Optical integration…very compact technology allows wide

application

8/8 correct 7/8 correct 8/8 correct 7/8 correct

Phase scrambling of inverse multiplexed tributaries creates large search space and hides the eye for resilience to exhaustive and archival attacks, respectively.

Optical Integration: Low cost, weight, size, and power consumption.

Compatibility with DWDM allows deployment as a “secure” overlay network over existing networks and for multilevel security.

OC

DM

DW

DM

Example: OCDMA –Photonic Layer Security


Example: Corning – Solid-Core and Hollow-Core Photonic Crystal and Photonic Band-Gap Fiber

Hollow-Core Photonic Band-Gap Fiber (PBGF)– Losses as low as 13 dB/km (small-core),

1.5 dB/km (large-core)

– Bandwidth >400 nm

– Extremely low nonlinearity

Solid-Core Photonic Crystal Fiber (PCF)– High nonlinearity

– Losses, < 1 dB/km

– All-silica, dopant-free profile

– Zero-dispersion wavelength as low as 500 nm

– Unique dispersion, high birefringence

Hollow-Core Photonic Band-Gap Fiber (PBGF)– Losses as low as 13 dB/km (small-core),

1.5 dB/km (large-core)

– Bandwidth >400 nm

– Extremely low nonlinearity

Solid-Core Photonic Crystal Fiber (PCF)– High nonlinearity

– Losses, < 1 dB/km

– All-silica, dopant-free profile

– Zero-dispersion wavelength as low as 500 nm

– Unique dispersion, high birefringence


Example: Corning – Use of LEAF® fiber for a simple long-haul DWDM transmission system with no in-line dispersion compensation

Motivation– System simplicity by eliminating in-line dispersion

compensation modules reduces complexity and cost

Result– Combined three advanced technologies to produce a

simple and flexible LH transmission system requiring no optical dispersion compensation in-line or at Rx NZ-DSF (Corning® LEAF® fiber) Duobinary modulation format Receiver-based EDC

Motivation– System simplicity by eliminating in-line dispersion

compensation modules reduces complexity and cost

Result– Combined three advanced technologies to produce a

simple and flexible LH transmission system requiring no optical dispersion compensation in-line or at Rx NZ-DSF (Corning® LEAF® fiber) Duobinary modulation format Receiver-based EDC


Example: Corning – Simple and flexible 1500 km transmission system and impact for optical networks

6

8

10

12

14

16

18

20

22

24

1546 1548 1550 1552 1554 1556 1558 1560 1562 1564

Wavelength (nm)

20lo

g(Q

), O

SN

R (

dB)

1500 km

-3360 ps/nmpre-comp

eFEC threshold

OSNR

20log(Q)

6

7

8

9

10

11

12

13

14

15

0 300 600 900 1200 1500 1800

Distance (km)

20lo

g(Q

) (d

B)

1562 nm

1550 nm

1547 nmeFEC threshold

• Simple change in system puts a fixed amount (-3360 ps/nm) of optical dispersion compensation in the transmitter. No in-line or post-compensation of dispersion required anywhere.

• Reach of 1500 km demonstrated with ~1 dB margin at longest wavelength. • Signal quality (Q) measurements at any intermediate node in 1500 km link show

equal performance with no changes needed in Rx configuration and >4 dB margin.

• Demonstrates flexible system well suited for reconfigurable optical networks.• Cost-effective system architecture enabled by LEAF® fiber, duobinary, and

MLSE-EDC Rx.

• Simple change in system puts a fixed amount (-3360 ps/nm) of optical dispersion compensation in the transmitter. No in-line or post-compensation of dispersion required anywhere.

• Reach of 1500 km demonstrated with ~1 dB margin at longest wavelength. • Signal quality (Q) measurements at any intermediate node in 1500 km link show

equal performance with no changes needed in Rx configuration and >4 dB margin.

• Demonstrates flexible system well suited for reconfigurable optical networks.• Cost-effective system architecture enabled by LEAF® fiber, duobinary, and

MLSE-EDC Rx.


Example: Corning – System testing of ultra-low attenuation fiber Vascade® EX1000

Motivation– Total span loss is the predominant

limiting factor in unrepeatered single-span submarine systems.

– System designers resort to expensive technologies such as high launch powers, advanced modulation formats, remote optically-pumped amplifiers (ROPAs), and strong FEC to achieve long distances > 300 km.

– Lower fiber attenuation may be the most efficient and cost-effective application space.

Corning’s low-attenuation fiber allows simpler system design with lower cost and/or better performance

Motivation– Total span loss is the predominant

limiting factor in unrepeatered single-span submarine systems.

– System designers resort to expensive technologies such as high launch powers, advanced modulation formats, remote optically-pumped amplifiers (ROPAs), and strong FEC to achieve long distances > 300 km.

– Lower fiber attenuation may be the most efficient and cost-effective application space.

Corning’s low-attenuation fiber allows simpler system design with lower cost and/or better performance


Example: Corning – Characterization results of Vascade® EX1000 fiber for system testing

0.15

0.2

0.25

0.3

0.35

0.4

1430 1450 1470 1490 1510 1530 1550 1570

Wavelength (nm)

Att

enu

atio

n (d

B/k

m)

4.0E-08

4.5E-08

5.0E-08

5.5E-08

6.0E-08

6.5E-08

7.0E-08

1520 1530 1540 1550 1560 1570 1580 1590 1600

Wavelength (nm)

Ra

yle

igh

sc

att

er

co

eff

icie

nt

(1/m

)

Vascade EX1000

Standard G.652fibre

Raman gain FOM

6.0

6.5

7.0

7.5

8.0

8.5

9.0

1420 1430 1440 1450 1460 1470 1480 1490 1500 1510

Pump wavelength (nm)

Ram

an F

OM

(W

-1)

Average Vascade EX1000 data

Standard G.652 fibre

Measured attenuation offibers tested

Average 1550 nm loss of 0.169 dB/km. Typical A1550 even lower for current fiber.

Average reach advantage of low-attenuation Vascade® EX1000 vs. standard single-mode fiber was ~12%, measured across 4 different system configurations.

Translates into extension of an unrepeatered span of up to ~40 km.


Example: Corning – Semiconductor Optical Amplifier Switches

Switch entire data packets Fast switching: 0.1 – 2 nanoseconds. Inherent gain (~20dB) High on-off ratio Low polarization sensitivity (<0.6 dB) Low noise figure (<6.5 dB) Broadband & WDM friendly (>80 nm) Monolithic integration feasible Future ultra-fast all-optical capability

Switch entire data packets Fast switching: 0.1 – 2 nanoseconds. Inherent gain (~20dB) High on-off ratio Low polarization sensitivity (<0.6 dB) Low noise figure (<6.5 dB) Broadband & WDM friendly (>80 nm) Monolithic integration feasible Future ultra-fast all-optical capability

Optically SwitchedSOA at 80GHz

Electrically Switched SOA at 1 GHz

Discrete SOA8x40Gb/s Capacity

12

13

14

15

16

17

18

19

-20 -15 -10 -5 0 5 10

Total power into SOA (dBm), 8 channels

Q fa

cto

r (d

B)

10-12 BER

20 dB dynamic range


Research

3. Software 3. Software


Software Challenge –How does one manage 130 Million Lines of Code with Acceptable Error Rates?

Problem – We typically modify approximately 20 million lines each year.

The industry average is 500 faults per million lines. This rate would make the communications systems in North America inoperable.

The highest cost is not writing code but testing that it works – over half the effort!

Increasingly, open source components are part of the software, leaving quality is in the hands of third parties.

Problem – We typically modify approximately 20 million lines each year.

The industry average is 500 faults per million lines. This rate would make the communications systems in North America inoperable.

The highest cost is not writing code but testing that it works – over half the effort!

Increasingly, open source components are part of the software, leaving quality is in the hands of third parties.


Software Challenge – ComplexityExample: Growth of Size of Linux Kernel

0

10

20

30

40

50

60

1995 2000 2005 2010

Meg

abyt

es

Release Date


Example: Telcordia –STRIDE (STructured Requirements & Interface Design Environment)

Code Skeletons

Test Coverage

DesignDocumentation

Unified framework forexpressing requirementsas model components

Automaticgeneration with checks for:• Consistency• Completeness• Functionality

Requirements

Modeling &Analysis

Reduced cost Better quality

Managing Development of Complex Software


Example: Telcordia –STRIDE: Improved Quality & Productivity

Led to dramatic quality improvement and cost reduction for a major B2B clearinghouse application

~25% reduction in costs

~90% reduction in requirements-related defects

Led to an order-of-magnitude improvement in quality of Service Management Layer Solution for a major provider

Potential of 30% cost reduction for future release

Order of magnitude improvement in the quality of overall solution

Reduced costs and improved quality of interfaces for a Network Activation OSS

STRIDE based test automation Dramatic improvement in coverage

Automatic generation of self-checking test cases from test and interface models

Led to dramatic quality improvement and cost reduction for a major B2B clearinghouse application

~25% reduction in costs

~90% reduction in requirements-related defects

Led to an order-of-magnitude improvement in quality of Service Management Layer Solution for a major provider

Potential of 30% cost reduction for future release

Order of magnitude improvement in the quality of overall solution

Reduced costs and improved quality of interfaces for a Network Activation OSS

STRIDE based test automation Dramatic improvement in coverage

Automatic generation of self-checking test cases from test and interface models


Example: Telcordia –STRIDE: Sample Productivity Improvements

Areas of Cost Reduction Opportunity

0.0% 2.0% 4.0% 6.0% 8.0% 10.0%

Metrics

Better Practices

Solutions Managem ent

Vendor Software

Outsourcing Model

Com bining Jobs

Pre-Sales

Norm alized Inform ation

Test Autom ation

Reviews & Baselining

Com m on Com ponents

Sm arter Work Artifacts


Example: Telcordia –Impact of our Initial Quality Efforts . . .

0

10

20

30

40

50

1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q 1Q 2Q 3Q 4Q

Fau

lts

Per

Th

ou

san

d F

un

ctio

n P

oin

ts

1994 1995 1996 1997

ComplianceISO 9001 Certification (Phase I)

ISO 9001 Certification(All Business Units)

CMM Level 3


Example: Telcordia –. . . And their Long-Term Effects

0

5

10

15

20

19

96

19

96

19

97

19

97

19

98

19

98

19

99

19

99

20

00

20

00

20

01

20

01

20

02

20

02

20

03

20

04

20

05

Fa

ult

s P

er

Th

ou

sa

nd

Fu

nc

tio

n P

oin

ts

CMM Level 3

CMM Level 5

2002 Industry Average of 17.5Source: ISBSG Report 1/2004

Fau

lts

Per

Th

ou

san

d F

un

ctio

n P

oin

ts

(new product

suite released)


End

research in communications in celebration of ronald c. davidson’s 40 years of plasma physics...

Documents

core capabilitiesnetworks

introductionnetworks

graduate educationadam

drobottelcordia technologies

common infrastructureprinceton

backgroundbroadband