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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 DistanceWireless Backhaul StrategiesITEXPO 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. • Economics – capital and operational costs • Embedded infrastructure, both physical and virtual
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.
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
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 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