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Author: Thomas Monath, T-Systems Enterprise Services GmbH
Co-Author’s: Sandro Krauss, Mario Kind, T-Systems Enterprise Services; Chris Hawinkel, Jan Van den Abeele, Alcatel; Antonio Elizondo, TID; Antoine Chuquet, Yann Denis, FT; Damiano Raspollini, TI; Daniel Ågren, Acreo; José Miguel Santos, Ricardo Afonso, PTI; Panagiotis Saltsidis, Thomas Kallstenius, Ericsson;
«Techno-economics for next generation fixed access networks »
� Methodology and framework – some key assumptions;� Major results of the fixed broadband access evolution scenarios
2
� MUSE “Gaming field”
� Objectives & Research Questions of MUSE techno-economics
� Methodology & Framework Assumptions
� Use Case Definitions and major Results � Migration use cases� Native Ethernet cases
� Main Conclusion of the fixed broadband access evolution scenarios
Outline
3
DSL
Kerb/Cabinet
Access multiplexer
Edge node
FTTH
Access AggregationNetwork
Wireless feeder
Applicationserver
Subscriber, QoS, and OAM management
Internet
PSTN
Home gateways
ApplicationserversDSL
Kerb/Cabinet
Access multiplexer
Edge node
FTTH
Access AggregationNetwork
Wireless feeder
Applicationserver
Subscriber, QoS, and OAM management
Internet
PSTN
Home gateways
Applicationservers
Lower cost
Increased intelligencein access
Functionality movingcloser to subscribers
Fixed-mobileconvergence
New multimedia applications
Applications initiatedfrom various CP devices
High bandwidthIncreased fibre penetration
Automated OAM
New revenues by “Multi-service”
access
MUSE “Gaming field” -Network evolution towards NG multi service capability
Multi-service capable NGN leads to requirements:> Platform functions converge> Service & Network platform elements require new functions to be implemented
(NT … aggregation nodes … BRAS )> Bottleneck in the last mile must be overcome
4
Objective & Research Questions
Provide techno-economic validations of MUSE architectural and functional choices:
> Two major technology trends in NG Access and Aggregationusing Ethernet transport technology between home gateway and service edge in order to provide IP based services:
> Pure Ethernet based switching technology (IEEE 802.1 xx) based on MAC in combination with service (S)VLAN “pipes” and
> “IP” based network architecture using IP forwarding functionality based on the IP packet source and destination information
> Functional evolutions:> PPP � DHCP, QoS, Multicast
Approach: > Investigate several network migration and “Greenfield” scenarios
(actually focused on Network Access Provider)
5
Value-Chain Players & Business Roles
���� Techno-economic validation based on Network Access Provider (NAP)
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"� �"� �"� �"� �
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6
Methodology – Cash Flow Analysis
NPVNPV IRRIRR PaybackDiscountedcumulatedcash flows
Cash flows,Profit & loss accounts
Year 0 Year 1 Year n Year m. . .
Demand for the TelecommunicationsServices
RevenuesOA&MCosts
First InstalledCost
First InstalledCost - CAPEX
Investments
IST-2000-25172 “TONIC”
EconomicInputs
Services ArchitecturesTool -environment
GeometricModelDB
…
7
General Assumptions
> Case study approach with focus on Access & Aggregation Network> Study period 2005 – 2010> Business Model seeds back a certain percentage of the revenues to all
players (NAP share is considered only, 100% market share applied)> Discount Ratio equals to 10% for all scenarios> Network elements in general will be modelled based on publicly
available price information combined with learning curves & maintenance costs assumptions
> OA cost model considers:• Network Operations incl. Management, Control,..• Employees depending expenditures• Provisioning costs• Sales and Marketing
8
General Assumptions –Market Forecast and related Service Classes
Service Class
Downstr. Capacity Tmax/ down
[Mbps]
Upstr. Capacity Tmax/ up
[Mbps]
Basic-Residential
1 0,5
Silver- Residential
3 1
Gold- Residential
10 2
Premium- Residential
50 10
Platinum-Residential 100 100
Basic-Business
2 2
Silver-Business
10 10
Gold-Business
50 50
Premium-Business
100 100
Platinum-Business 1000 1000
Service class definition:
� Penetration evolution based on various consultancy reportsSources: Ovum, Yankee BB market Europe, OECD, IST, survey between the MUSE partners
MUSE penetration potential forecastbased on service bottom up model
0,00%10,00%20,00%30,00%40,00%50,00%60,00%
2005 2006 2007 2008 2009 2010
Platinum-BusinessPremium-BusinessGold-BusinessSilver-BusinessBasic-Business Platinum-ResidentialPremium- ResidentialGold- ResidentialSilver- ResidentialBasic-Residential
Example - Germany T-Com - Dec 2005: about 8 Mio DSL, about 21% of the total fixed lines;
Market Forecast Service bottom up model
9
General AssumptionsArea Description and Potential Market
LocalExchange
Central Exchange
Dense Urban: 2 x 32,768 Urban: 4 x 16,384Suburban: 8 x 8,192Rural 32 x 2,048Low Dens. Rural 32 x 2,048
Total Connectivity:
65,536
LL1
LL2
LL3
LL4
LL5
LL7
LL6
FP5
FP4
FP3
FP2
FP1
FP0
FP7
FP6
Customer
Customer-LEx
Customer-Cabinet
Cabinet-LEx
per Building per km²
Residential %
Business %
Dense Urban 1.267 207 1.060 2 128 512 64 7.187 70 30Urban 1.417 290 1.127 4 64 512 32 3.116 76 24Suburban 1.750 467 1.283 8 64 2.048 4 1.043 82 18Rural 2.033 683 1.350 32 32 1.024 2 177 88 12Low Density Rural 2.767 1.217 1.550 32 32 2.048 1 8 94 6
Potential CustomersBuildings per LEx
Cabinets per LEx
Geo-Model (Total Europe) 65.536 Total Potential Customers
Covered LEx
Average link lengths [m]
� Input of involved network operators
10
General Assumptions –Service based Revenue Model – Network Access Provider
� Service Revenue Model based on consultancy reports and benchmarks
Usage charge
Service charge
Access charge
Connection fee
BusinessResidential
AoD, VoD, VoD SDTV, VoD HDTV
AoD, ContentStorage,
Sensors/ Monitoring
Broadcast Video, Broadcast SDTV, Broadcast HDTV,
Gaming, Monitoring
VoIP,HSI , Broadcastaudio, Conferencing
VoIP , Broadcastaudio, BSI, HSI, Conferencing
Usage charge
Service charge
Access charge
Connection fee
BusinessResidentialPricing scheme
AoD, VoD, VoD SDTV, VoD HDTV
AoD, ContentStorage,
Sensors/ Monitoring
Broadcast Video, Broadcast SDTV, Broadcast HDTV,
Gaming, Monitoring
VoIP,HSI , Broadcastaudio, Conferencing
VoIP , Broadcastaudio, BSI, HSI, Conferencing
0,00 �
50,00 �
100,00 �
150,00 �
200,00 �
250,00 �
2005 2006 2007 2008 2009 2010
Basic-ResidentialSilver-ResidentialGold-ResidentialPremium-ResidentialBasic-Business Silver-BusinessGold-BusinessPremium-Business
Monthly Tariff - 5% / Year
Related to connectivity classesRelated to connectivity classes
Basic service Basic Silver Gold Premium Platinum
Residential market 180 360 600 900 1 200
Business market 480 840 1 440 2 400 4 800
NAP: Default Input for residential and business market:
11
General Assumptions –Network Element Model
Learning curve
0
5
10
15
20
25
30
35
40
45
50
2003 2004 2005 2006 2007 2008 2009 2010
Ether_CE_Swith Basic
[k� ]
Network element: Switch Router GbEApplication: Central Exchange
LEx LEx
CoreCentral
Exchange (CEx)
Downlink interfaces
Uplink interfaces
Downlink interfaces
Uplink interfaces
16 slots Basic Equipment(Chassis +Basic
modules +Software)
1OC3c-POS-Interface (longdistance; SM)4 1OC3c-POS-Interface (longdistance; SM)4
11000Base-LX (medium distance; SM)8 11000Base-LX (medium distance; SM)8
11000Base-LX(long distance; SM)8 11000Base-LX(long distance; SM)8
11000Base-SX(short distance; MM)8 11000Base-SX(short distance; MM)8
Switch RouterGbE
�Network element model based publicly available price information combined with learning curves & maintenance costs assumptions
12
Use Case Definition –Migration Scenarios
today������������
� � �� � �
����
BE � QoSATM � Ethernet PPP � DHCP
� � � � � � � � � � � � � � � �
� � � �� � �
BE � QoS
������������
� �� �� � � % &% &% &% &
''''
����
ATM � Ethernet PPP � DHCP L2AM � L3AM
�� ��� � � � � ��� ��� � � � � ��� ��� � � � � ��� ��� � � � � �
� �� � � � � � % (% (% (% (
L2AM �L3AM
))))
Functionality moving
closer to subscribers
Layer 3 AM (IP)L2 Access Mux
Lower
Investment
Ethernet
transport
ATM
transport
Multi ServiceQoS classesBest Effort
DriverTrendToday
13
� Ethernet AN
� IP (v04/06) AN
Use Case Definition –Migration Use Cases - Overview
FP1
In-housecabling
FP5
Local Exchange
FP7
Central Exchange
FP3
Cabinet Location
FP2
Bilding
FP0
CPE
FP4
Branch (1)
FP6
Branch (2)
First Mile AggregationIP-
Backbone
% * % * % * % *
� �� �� � �
� � � �
� � !�
" � # �
$ % � � �
(A-B)
SwitchAN
STM4 STM4
DSL NT BRAS
(A-C)
SwitchAN
GbE GbE
DSL NT BRAS
(A-D)
SwitchAN
GbE GbE
DSL NT BRAS
AAA Fct.
ATM Interf.
QoS; CoSMulticast
New xDSL
���� All cases combined with First Mile remoteDSLAM solution!
FTTC
Remote unit
�& � �
� � � ' �( & % �� �
� � � �
GbE
GbE
GbE
� still ATM but new
services and functions
���� network element invests input from the MUSE consortium vendors
14
-10,0 Mio �
� Migration to a QoS enabled multi-service architecture based on Ethernet (A-C) or IP forwarding (A-D) are more economic than the ATM-based evolution scenario (A-B)
� Similar CAPEX for Ethernet and IP base architecture
-5,0 Mio �
0 Mio �
5 Mio �
10 Mio �
15 Mio �
2005 2006 2007 2008 2009 2010
Comparison: Cash Balance - Migration
Fibre to the Cabinet (FTTCab) –up to 50 Mbit/s Dense Urban area(about 30.000 customers connected in 2010)
A Reference
A-B
A-C
A-D
(1) Migration from a best effort access network (A) to a QoS enabled multi-service architecture based on Ethernet (A-C) or IP forwarding (A-D) are more economic than the ATM-based evolution scenario (A-B)+, -+, -+, -+, -
Major Results –Migration Use Cases
+& -+& -+& -+& -
(2) Almost the same investments for Pure Ethernet based switching technology (IEEE 802.1 xx) or “IP” based network architecture using IP forwarding functionality
+( -+( -+( -+( -
(3) In comparison to the other migration options - it is not a choice to stay with the current service offer (1-3/6 Mbit/s) as an incumbent network operator
15
Major Results –Migration Use Cases
� Update the network with new products based on ADSL 2+ is more economical in combination with Ethernet based access and aggregation network.
� DSL upgrade more economical with Ethernet Access and Aggregation
-10,0 Mio �
-5,0 Mio �
0 Mio �
5 Mio �
10 Mio �
15 Mio �
2005 2006 2007 2008 2009 2010
Comparison: Cash Balance - Migration
Fibre to the Local ExchangeOnly (FTTLEx) –up to 16 Mbit/s Dense Urban area(about 20.000 customers connected in 2010)
Reference
A-B ADSL 2+
A-C ADSL 2+
(1) Migration scenario A-B FTT(LEx) -update with new products based on ADSL 2+ still based on ATM aggregation network but including new functionalities (QoS, Multicast) increases the Reference case
(1)
(2)
(2) The case is more profitable in combination with an Ethernet aggregation network
16
Major Results –Migration Use Cases)
(1) Multicast saves network resources
(2) QoS enables services and possibly new revenue streams
(3) Dynamic Host Control Protocol (DHCP) as IP auto-configuration protocol is less complex and needs less costly interfaces at Access Edge Node compared to Point-to-Point protocol approach
(4) Operational savings are expected but not quantified � issue within MUSE Phase II
Comparison: Cost break down – Ethernet (A-C) MigrationFTTCab (up to 50 Mbit/s Urban – about 30.000 customers connected)
-10,0 Mio �
-5,0 Mio �
0,0 Mio �
5,0 Mio �
10,0 Mio �
15,0 Mio �
2005 2006 2007 2008 2009 2010
Year
RevenuesInvestmentsOAM Costs New Network
functions implemented
Cash Balance
Default Case
� New intelligent network functions enable significant CAPEX reduction
Investment in the Second Mile
0 Mio �
1 Mio �
2 Mio �
3 Mio �
4 Mio �
5 Mio �
Basic Mixed PPP-DHCP
BE=50% Multicast All Functions
Edge nodeCentral ExchangeLocal Exchange
Implementation of multicast, QoS (e.g. 50% Best effort guaranteed), and mixed PPP/DHCP
� Network Access Provider (NAP) saves nearly 1/4 CAPEX within the aggregation network (second mile) by implementing new service enabling network functions
17
Major Results –Migration Use Cases
Migration Case A-D – FTTC EPtP –NPV evolution comparison for various Areas:
� Complete FTTCab: most profitable in dense urban, less profitable in urban
(1) Dense Urban, Urban, and (almost) Suburban are positive scenarios
(2) Rural and Low Density Rural are negative scenarios
NPV evolution
-20 Mio
-15 Mio
-10 Mio
-5 Mio
0 Mio
5 Mio
10 Mio
15 Mio
2005 2006 2007 2008 2009 2010
Reference A: Fibre to the Local Exchange (FTTLEx)up to 3/6 Mbit/s
Dense UrbanUrbanSuburbanRuralLow Density Rural
������������
� � �� � �����
� � � � � � � � � � � � � � � �
� � � � � �
������������
� �� � � � % &% &% &% &
''''
����
�� ��� � � � � ��� ��� � � � � ��� ��� � � � � ��� ��� � � � � �
� �� � � � � �% (% (% (% (
))))
Reference today������������
� � �� � �
� � � � � � � � � � � � � � � �
� � � � � �
������������
� �� � � � % &% &% &% &
�� ��� � � � � ��� ��� � � � � ��� ��� � � � � ��� ��� � � � � �
� �� � � � � � % (% (% (% (
18
Major Results –Migration - Infrastructure Investment(CAPEX)
FTTLEx FTTLEx FTTC FTTH
Scenario
0,0 Mio �
0,20 Mio �
0,40 Mio �
0,60 Mio �
0,80 Mio �
1,0 Mio �
1,20 Mio �
1,40 Mio �
Ethernet Aggregation
0,0 Mio �
2,0 Mio �
4,0 Mio �
6,0 Mio �
8,0 Mio �
10,0 Mio �
12,0 Mio �
14,0 Mio �
ReferenceATM Agg.
Comparison of Link Level Investments in Dense Urban areas
FTTLEx FTTLEx FTTC FTTH
Scenario
0,0 Mio �
0,20 Mio �
0,40 Mio �
0,60 Mio �
0,80 Mio �
1,0 Mio �
1,20 Mio �
1,40 Mio �
Ethernet Aggregation
0,0 Mio �
2,0 Mio �
4,0 Mio �
6,0 Mio �
8,0 Mio �
10,0 Mio �
12,0 Mio �
14,0 Mio �
ReferenceATM Agg.
% � � .� �* / 0 * �
% � � .� % * / 0�* /
% � � .� ��1 0 % * /
% � � .� '����� 0��1
% � � .� � �� � � 0'�� �� � �
% � � .� �� * 0 � �� � �
� Link level investments of the access and aggregation network when comparing Fibre to the Local Exchange (FTTLEx) to the Cabinet location (FTTC) is about 5 times higher.
� For Fibre to the Home (FTTH) deployment is even in dense urban areas only an optimized roll out recommended
(1) The related link level investments of the access and aggregation comparing Fibre to the Local Exchange (FTTLEx) to the Cabinet location (FTTC) is about 5 times higher
(1)
(3) The FTTB solutions for Dense Urban needs about 30% less investments compared to the FTTH solutions (not shown).
(2) In case of a complete FTTHome(GPON) deployment the link level related investments are nearly 10 times higher compared to the FTTCab case
(2)
19
FP1
In-housecabling
FP5
Local Exchange
FP7
Central Exchange
FP3
Cabinet Location
FP2
Building
FP0
CPE
FP4
Branch (1)
FP6
Branch (2)
First Mile Aggregation
IP-
Backbone
% * % * % * % *
RADIUS-ProxyDNS, Web-Cache
(FTTC)
DSL CPE
BRAS
GbE
Auto-configuration
server
GbE
Switch
Fibre Cable
Twisted Copper Cable
UTP5 Cable
Average link-lengths [m]LL1 (User ↔ Floor) 15 mLL2 (Floor ↔ Basement) 15 mLL3 (Basement ↔ Cabinet) 207 mLL4+LL5 (Cabinet ↔ Access Node) 1 060 mLL6 (Access-Node ↔ Aggr.-Node) 20 000 mLL7 (Aggr.-Node ↔ EN) 20 000 m
(FTTHEPON)
GbE
EPON ONU
Switch
Optical Splitter
(FTTH) GbE
1G CPE
100-LX
Switch
Switch
Use Case Definition –Native Ethernet Use Cases – (1)
20
Major Results –Native Ethernet Use Cases
Cash Balance Comparison first mile Native Ethernet “green field” scenarios
� Complete FTTC: profitable in dense urban and urban area� FTTH: only optimised roll out even in dense urban recommended
Cash Balance (Urban)
-60.0 Mio �
-50.0 Mio �
-40.0 Mio �
-30.0 Mio �
-20.0 Mio �
-10.0 Mio �
0.0 Mio �
10.0 Mio �
20.0 Mio �
30.0 Mio �
2005 2006 2007 2008 2009 2010
-60.0 Mio �
-50.0 Mio �
-40.0 Mio �
-30.0 Mio �
-20.0 Mio �
-10.0 Mio �
0.0 Mio �
10.0 Mio �
20.0 Mio �
30.0 Mio �
2005 2006 2007 2008 2009 2010
Dense Urban
FTTC
FTTBc (xDSL Basement Switch)FTTB (UTP inhouse )
FTTB ( fiber inhouse )
FTTHFTTH - EPON
21
Major Results –Native Ethernet Use Cases –
� High impact in the case of the Native Ethernet FTTH taking CPE costs into account or not
Cost break down – FTTH incl. CPE
-30.0 Mio �
-20.0 Mio �
-10.0 Mio �
0.0 Mio �
10.0 Mio �
20.0 Mio �
2005 2006 2007 2008 2009 2010
Year
Cost break down - FTTH (No CPE Costs)
-30.0 Mio �
-20.0 Mio �
-10.0 Mio �
0.0 Mio �
10.0 Mio �
20.0 Mio �
2005 2006 2007 2008 2009 2010
Year
Revenues
Investments
OAM Costs
NPV
DiscountedCash Balance
Native Ethernet (dense urban) - FTTH with and without CPE costs
22
Main Conclusions
� Ethernet will substitute ATM in the Aggregation Area stepwise� Functionalities moving closer to subscribers � increased intelligence in
access (service enablers like QoS, multicast, DHCP) � Example A – C Migration (NAP): potential CAPEX savings of about 25% in
Aggregation
� The techno-economic analysis supports the consolidated view on NG broadband access � Migration from a best effort access network (A) to a QoS enabled multi-
service architecture based on Ethernet (A-C) or IP forwarding (A-D) are more economic than the ATM-based evolution scenario (A-B)
� Complete FTTCab: most profitable in dense urban, less profitable in urban
� FTTH: only optimized roll out even in dense urban recommended
� Native Ethernet “greenfield” scenarios show some advantages compared to the migration related scenarios
� In general the sensitivity analysis results support the key results that has been observed within the scenario comparison.
23
Thank you for your attention!
Further information:
Contact: Thomas Monath, T-Systems Enterprise Services GmbH� : +49 30 3497 4446
e-� : [email protected]
“Techno-economics for next generation fixed access networks ”