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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.

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solving the distance wireless backhaul strategies itexpo 2010

Solving the DistanceWireless Backhaul StrategiesITEXPO 2010

Stuart Benington

Director, Global Portfolio Strategy

Tellabs

key considerations
Key Considerations
  • “Solving the distance” equates to achieving a balance of three main things:
    • End user demographics – services, population density, etc.
    • Economics – capital and operational costs
    • Embedded infrastructure, both physical and virtual
mobile service demographics orange 2g footprint yellow 3g footprint sources gsma verizon
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
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.
embedded infrastructure considerations
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
slide6
4G Architecture Helps Solve the “Middle Mile” Problem(Sources: Deloitte; Leading technology research vendor)

Processing cost is dropping

faster than bandwidth cost…

…driving distributed architectures

like the IP RAN for LTE

conclusions
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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