future networkdrivers and access architectures (traffic ... network drivers and acc… · virtual...

FutureNetwork DriversandAccessArchitectures(Traffic Engineering Trends,CAA,DAA,andVirtualization)

StephenKraimanSeniorStaffSolutionsArchitect

SCTESeptember,2017

Copyright2017– ARRISEnterprises,Inc.Allrightsreserved.

• StephenKraiman• SolutionsArchitectforARRIS

September2017 2


What’sComingInTheAccessNetwork?

TechnologicalBifurcation

ArchitecturalBifurcation

ExponentialBandwidthGrowth

MSODecisions,Decisions,

DecisionsIncreased

CompetitionSPs&OTT

Evolutionvs.Revolution

Centralizedvs.DistributedArchitecture

Appliance-based vs.Virtual(SDN/NFV)vs.

BothPNF&SDN

DOCSIS3.1/ExtendedSpectrum/FDX/RFoG-AgileMax/GPON/10GEPON- DPoE/Wireless

RPHY vs.RMACPHY

Mid-split– High-Split?

September2017 3

TopologyEvolution

CustomerandCompetitionDrivers

FiberDeeperorFTTH?


Agenda

• TrafficEngineeringfortheGigabitperSecondEra

• MSOArchitecturalOptions

• DriversandAssessmentofCAAandDAA

September2017 4


30 38 44 48 59 69 7895

0

20

40

60

80

100

120

140

160

2010 2011 2012 2013 2014 2015 2016 2017US

AvgBWperSub

(kbp

s)Year

USAvgBWperSubscriber(2017Avg=95kbps,5yrAvgCAGR=17%)

Average MSOA MSOB MSOC

RecentMSOAvg BWTrafficTrends

• USTavgalmost100Kbpsin2017

• USTavgCAGRbelow20%– Doublingevery~4-5years– ForNetworkCapacityplanning,typicallyuse20%todoubleevery4years

89 138 233 308 395519

8231070

0

200

400

600

800

1000

1200

1400

2010 2011 2012 2013 2014 2015 2016 2017

DSBWperSub

(kbp

s)

Year

DSAvgBWperSubscriber(2017Avg=1070kbps,5yrAvgCAGR=36%)

Average MSOA MSOB MSOC MSOD

• DSTavgpasses1Mbpsin2017

• DSTavgCAGRbelow40%– Notquitedoublingeveryotheryear

September2017 5


50YearsofBillboardBandwidthTrends

September2017

1Gb

psDS

2016

2Gb

ps

2019 1

0Gb

ps

2021

20Gbp

s2024 10

0Gb

ps

2026

200Gb

ps

2030

EraofSymmetricalServices

100Gbps

10Gbps

1Gbps

100Mbps

10Mbps

1Mbps

100Kbps

10Kbps

1Kbps

100bps

300bp

sDS

1982

56Kbp

sDS

1995

1Mbp

sDS

2002

10M

bpsD

S2008

100Mbp

sDS

2013

UPSTREAMDOWNSTREAM

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

2028

2029

2030

2031

2032

FDX

Extende

dSpectr

um

DOCSIS

w/FDX

6Kb

psUS

1995

100Kb

psUS

2002

1Mbp

sUS

2008

10M

bpsU

S2013

35M

bpsU

S2016

DOCSIS

3.1

NIELSEN’SLAWOFINTERNETBANDWIDTH(GrowthRate=50%/YEAR)

6


ChangesLeadingtoChangesLeadingtoChanges…

YearHighSLABW(Gbps)

2030 100

2026 30

2022 10

2019 3

2016 1

BandwidthGrowth

Networking&InfrastructureIssues

• TheHead-endRack-SpaceIssue…

• TheHead-endPowerIssue…

• TheLambdaExhaustionIssueonDWDMFibers…

• TheSNRDecreaseIssue…

CCAPNode

100subs(limitedBW/sub)

100subs(limitedBW/sub)

Node

2LambdasonFiber

Node-splits

CCAPNode

CCAPNode

Node

Node

50subs(moreBW/sub)

50subs(moreBW/sub)

50subs(moreBW/sub)

50subs(moreBW/sub)

4LambdasonFiber

ReliefTechniques• MovefunctionsoutoftheHead-endandintotheNode

• UseDigitalEthernetonFiberinsteadofAMOpticalSignals(80lambdasinsteadof32…betterSNRs)

September2017 7


Agenda




September2017 8


IntegratedCCAPandDistributedArchitectures—ArchitecturalDivergence

HighDensityI-CCAP

(MAC &PHY)Management,Control&DataPlanes

Benefits:NoSoftware/SimpleLowestOSPPower

LowestMTBF/MTTD/MTTRFamiliarOAM&P

I-CCAP(DOCSISorPON)

NodeAnalog

NoSoftware

MAC=Packet-levelprocessingPHY=Bit-to-RFlevelprocessing

DAAs

CAA

September2017 9

RemoteMAC/PHYRMDMgr&RMD

CCAPCore&RPHY VirtualizedCore(vCore)&RPHY

RemoteOLTOLTMgr&R-OLT

DAA

Benefits:LowRackspaceinHELowPowerinHE

MoreLambdasonFiber

Node+RPHYModule(PHY)

DataPlane

CCAPCore(MAC)

(Management,Control&DataPlanes)

Benefits:Med.RackspaceinHE

LowPowerinHEMoreLambdasonFiber

Elasticity&FeatureVelocityw/SDN&NFV

Node+RPHYModule(PHY)

DataPlane

vCore(MAC)

(Management,Control&DataPlanes)


MoreLambdasonFiberElasticity&FeatureVelocity

w/SDN&NFV

Node+RMACPHYModule

(MAC &PHY)(Control&DataPlanes)

RMDManager

(ManagementPlaneOnly)

Node+R-OLTModule(MAC &PHY)(Control&DataPlanes)

OLTManager

(ManagementPlaneOnly)

RouterRouter


MoreLambdasonFiberElasticity&FeatureVelocity

w/SDN&NFV


Agenda




• Conclusions

September2017 10


The“Why’s”BehindDistributedAccessArchitectures

Head-endspace/power…– HowcanwesupportSGgrowthgivenspaceandpowerconstraintsincurrenthead-ends?

Fiberutilization…– Canwesupportmorewavelengthsonafiber?(40-80forDigitalOpticsvs16-32forAMOptics)

End-of-linesignalquality…– Canweimproveplantrobustnessandbandwidthcapacity

(betterspectraldensity)usingnode-basedRFgeneration?

Facilityconsolidation/FTTxalignment– Canwehelpreducethenumberofhead-endswithlongerfiberrunsviadigitaloptics?CanweplanforbothDOCSISgrowthandFTTxplantmigration?

Set-and-forgetoperationalsimplification…– CanwesimplifyoperationalmaintenancewithdigitalopticsvsAMoptics?

1

2

3

4

5

September2017 11


30#

35#

40#

45#

50#

CAA#(#80km#(#16λ#

CAA#(#80km#(#8λ#

CAA#(#80km#(#4λ#

CAA#(#80km#(#1λ#

CAA#(#40km#(#16λ#

CAA#(#40km#(#8λ#

CAA#(#40km#(#4λ#

CAA#(#40km#(#1λ#

CAA#(#25km#(#16λ#

CAA#(#25km#(#8λ#

CAA#(#25km#(#4λ#

CAA#(#25km#(#1λ#

CAA#(#15km#(#16λ#

CAA#(#15km#(#8λ#

CAA#(#15km#(#4λ#

CAA#(#15km#(#1λ#

DAA#–#Remote#Gadget#44λ#+#

0#Amp#

1#Amp#

2#Amps#

3#Amps#

4#Amps#

5#Amps#

6#Amps#

1002$MHz$Full$Spectrum$End$of$Line$CNR$Es=mate$to$Each$Amplifier#Maxim

umEstim

ated

CNRAm

pValues

CAAtoNodeat80km CAAtoNodeat40km CAAtoNodeat25km CAAtoNodeat15km

1024

QAM

(10b/s/Hz

)20

48QAM

(11b/s/Hz

)40

96QAM

(12b/s/Hz

)81

92QAM

(13b/s/Hz

)16

384Q

AM(14b/s/Hz

)51

2QAM

(9b/s/Hz)

20%-30%

20%-30%

9%-18%

9%-18%

9%-18%

9%-18%

9%-18%

8%-11%

9%-18%

0%-9%

0%-9%

0%-8%

0%-8%

0%-8%

0%-8%

0%-8%

DAAat80km+

EstimatedPercentageofDAAImprovementvs.CAAImportant:CNRatRFConnectorofDualPortD3.1Gateway“maybelessthanorequalto”MaximumEstimatedCNRAmpValues

30.5

45

41

37

34

49

September2017 12


30#

35#

40#

45#

50#

CAA#(#80km#(#16λ#

CAA#(#80km#(#8λ#

CAA#(#80km#(#4λ#

CAA#(#80km#(#1λ#

CAA#(#40km#(#16λ#

CAA#(#40km#(#8λ#

CAA#(#40km#(#4λ#

CAA#(#40km#(#1λ#

CAA#(#25km#(#16λ#

CAA#(#25km#(#8λ#

CAA#(#25km#(#4λ#

CAA#(#25km#(#1λ#

CAA#(#15km#(#16λ#

CAA#(#15km#(#8λ#

CAA#(#15km#(#4λ#

CAA#(#15km#(#1λ#


0#Amp#

1#Amp#

2#Amps#

3#Amps#

4#Amps#

5#Amps#

6#Amps#

1002$MHz$Full$Spectrum$CNR$Es7mate$to$the$RF$Connector$of$Cable$Modem$at$Point$of$Entry$#Estim

ated

CNR

1024

QAM

(10b/s/Hz

)20

48QAM

(11b/s/Hz

)40

96QAM

(12b/s/Hz

)81

92QAM

(13b/s/Hz

)16

384Q

AM(14b/s/Hz

)51

2QAM

(9b/s/Hz)

EstimatedPercentageofDAAImprovementvs.CAA

30.5

45

41

37

34

49

CAAtoNodeat80km CAAtoNodeat40km CAAtoNodeat25km CAAtoNodeat15km DAAat80km+

20%- 30%

DAAhas0%to9%GainAgainstCAA

DAAhas9%to18%Gain

September2017 13


30#

35#

40#

45#

50#

CAA#(#80km#(#16λ#

CAA#(#80km#(#8λ#

CAA#(#80km#(#4λ#

CAA#(#80km#(#1λ#

CAA#(#40km#(#16λ#

CAA#(#40km#(#8λ#

CAA#(#40km#(#4λ#

CAA#(#40km#(#1λ#

CAA#(#25km#(#16λ#

CAA#(#25km#(#8λ#

CAA#(#25km#(#4λ#

CAA#(#25km#(#1λ#

CAA#(#15km#(#16λ#

CAA#(#15km#(#8λ#

CAA#(#15km#(#4λ#

CAA#(#15km#(#1λ#


0#Amp#

1#Amp#

2#Amps#

3#Amps#

4#Amps#

5#Amps#

6#Amps#

1002$MHz$Full$Spectrum$CNR$Es7mate$to$the$RF$Connector$of$Cable$Modem$at$Point$of$Entry$Through$1$SpliDer$#

1024

QAM

(10b/s/Hz

)20

48QAM

(11b/s/Hz

)40

96QAM

(12b/s/Hz

)81

92QAM

(13b/s/Hz

)16

384Q

AM(14b/s/Hz

)51

2QAM

(9b/s/Hz)

30.5

45

41

37

34

49

CAAtoNodeat80km CAAtoNodeat40km CAAtoNodeat25km CAAtoNodeat15km DAAat80km+

EstimatedPercentageofDAAImprovementvs.CAA

Estim

ated

CNR

20%- 30%

DAAhas0%to9%GainAgainstCAA

DAAhas9%to18%Gain

September2017 14


Questions?

September2017 15


Thankyou!

September2017 16

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