Solving the Distance Wireless Backhaul Strategies ITEXPO 2010
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Solving the Distance Wireless Backhaul Strategies ITEXPO 2010 Stuart Benington Director, Global Portfolio Strategy Tellabs 1
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Solving the Distance Wireless Backhaul Strategies ITEXPO 2010. Stuart Benington Director, Global Portfolio Strategy Tellabs. Key Considerations. “Solving the distance” equates to achieving a balance of three main things: End user demographics – services, population density, etc. - PowerPoint PPT Presentation
Transcript of Solving the Distance Wireless Backhaul Strategies ITEXPO 2010
Solving the DistanceWireless Backhaul
StrategiesITEXPO 2010
Stuart BeningtonDirector, Global Portfolio StrategyTellabs
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Key Considerations “Solving the distance” equates to achieving a balance of
three main things:
1. End user demographics – services, population density, etc.
2. Economics – capital and operational costs
3. Embedded infrastructure, both physical and virtual
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Mobile Service DemographicsOrange = 2G footprint; Yellow = 3G footprint (Sources: GSMA, Verizon)
The distance issue and its solution varies widely across regions/countries
Backhaul Economics: Demand and Supply
Bandwidth demand in mobile backhaul driven by 3G/4G networks and fixed-mobile convergence; this is the “mobile broadband tsunami”
Bandwidth supply is a balance between technology and economics: Fiber connectivity has the most bandwidth potential and less maintenance/power than
copper, but can involve considerable capex to deploy Microwave links can be less expensive to deploy, but:
Involve line of sight requirements Are subject to environmental conditions such as rain, pollen, solar radiation, etc.
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Embedded Infrastructure Considerations Cell site/BTS location driven by many factors, i.e. coverage
requirements, zoning, etc. This location is a major driver of access to backhaul bandwidth
Capacity sites may need in-building wiring access or underground right-of-way
Coverage sites may have more difficult distances to accommodate
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4G Architecture Helps Solve the “Middle Mile” Problem(Sources: Deloitte; Leading technology research vendor)
Processing cost is dropping faster than bandwidth cost…
…driving distributed architectureslike the IP RAN for LTE
3GPP R99/R4/R5
3GPP LTE/SAE
HLR/HSS
Node B
RNC
SGSN
UMTS Core
Media Gateway
Call Server
DCS
OperatorServices
GGSNUMTS RAN
PSTN
MSN
Internet
aGWMobility Anchor
eNode BPCRF
SAE Core Network
dGW
LTE RAN
Femto GW
WiFi/ WiMax
Conclusions Solving the distance problem is a balance between
technical and economic factors
The technical implementation will continue to be a combination of improved bandwidth and optimization of network architecture
Ultimately the main decision criteria is determining how to best serve the end user
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