Efficient mobile backhaul
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Efficient mobile backhaul

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This was presented by Dr John Naylon, CTO of CBNL, at Mobile World Congress 2012. ...

This was presented by Dr John Naylon, CTO of CBNL, at Mobile World Congress 2012.

This made up part of the Energy Efficient Networks session where industry experts discussed the energy efficiency challenges facing operators when deploying their networks.

This presentation analyses live customer data that clearly demonstrates the efficiencies intelligent data aggregation technologies can bring to mobile backhaul networks.

The data reveals that aggregation can reduce bandwidth requirements by a minimum of 40% whilst delivering an identical service.

The presentation also highlights how wireless point to multipoint network architecture dramatically improves spectral efficiency and power efficiency per link.

The introduction includes a short video of John highlighting the key points of the presentation and how point to multipoint wireless backhaul can help operators become more efficient, save costs and bring environmental benefits to their backhaul networks.

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Efficient mobile backhaul Efficient mobile backhaul Presentation Transcript

  • www.cbnl.comNext generation thinkingEfficient Mobile BackhaulJohn NaylonMobile World Congress, Barcelona - 29 February 2012
  • The Problem Space: Mobile Backhaul• Need to connect mobile base stations 100% (node Bs) to core network − Could use copper, fibre or microwave radio − Microwave is the dominant choice 75% − ~0.5M new microwave backhaul connections per annum 50% 25% 0% 08 09 10 11 12 13 14 15 Microwave Fibre Copper Worldwide Mobile Backhaul Connections Source: Infonetics Researchwww.cbnl.com Commercial in confidence 2
  • The Problem Space: Mobile Backhaul Traffic Properties Sample backhaul demands for 3 tri-cell node Bs in a live, busy HSPA+ network:Mbps Can we exploit statistical properties of this data to make our backhaul more efficient? www.cbnl.com Commercial in confidence 3
  • First Property: Data is Bursty • Data is bursty, i.e. has sharp transient peaks and a much lower mean − This characteristic is driven by user and application behaviour − Burstiness still present when traffic is aggregated within a node B/eNode BMbps Handset traffic (one iPhone 4) Peak: 11.44 Mbps Mean: 0.14 Mbps Ratio: 79.20 Mbps Handset traffic (10 Devices) Peak: 12.07 Mbps Mean: 1.44 Mbps Ratio: 8.37 Mbps Node B backhaul traffic Peak: 23.31 Mbps Mean: 5.54 Mbps Ratio: 4.20 Mbps www.cbnl.com Commercial in confidence 4
  • First Property: Data is Bursty (2)• Network-wide average of peak-to-mean ratio is approximately 4:1 in this HSPA+ example network − Major implication for efficiency since it is mandatory to provision backhaul that can accommodate the offered peak load − However if we have a dedicated link the mean utilisation de facto cannot be greater than the mean offered load − Therefore the mean utilisation will be approximately in the ratio of 1:4 to the peak, i.e. approximately 25% − So the data’s properties mean that: Dedicated backhaul links are 75% idle!www.cbnl.com Commercial in confidence 5
  • Second Property: Peak Demand is not Synchronised • Peak bandwidth demand does not occur simultaneously at adjacent node Bs − Peaks are of short duration (seconds, not hours like the daily ‘swells’) − Peaks arise from random, independent actions of network end usersMbps www.cbnl.com Commercial in confidence 6
  • Second Property: Peak Demand is not Synchronised (2)• Peak bandwidth demand does not occur simultaneously at adjacent node Bs − Peaks are of short duration (seconds, not hours like the daily ‘swells’) − Peaks arise from random, independent actions of network end users − In the studied HSPA+ network, average cross-correlation factor of pairs of node Bs in geographical proximity is 0.16 indicating very weak correlation (network-wide correlation is even lower, at 0.06)www.cbnl.com Commercial in confidence 7
  • Using These Properties to Improve Backhaul Efficiency • Non-uniform data rate and absence of correlation lets us share, or multiplex, resources instead of using dedicated resources (just as we do in the RAN) Point-to-Point Point-to-Multipoint Dedicated radio + Shared radio +Dedicated RF antenna per link Shared RF channel antenna for all linkschannel per link for all links www.cbnl.com Commercial in confidence 8
  • Savings from Point-to-Multipoint Architecture: Spectrum• We examine measured backhaul profiles from a group of eight node Bs − Live network, large middle-eastern operator, heavy data usage − HSPA+ tri-cellular node Bs − Theoretical maximum throughput 64.8Mbps per site• Consider the amount of spectrum needed for each of the two topologies − Use the bare minimum of spectrum to carry exact data profile (no ‘headroom’)www.cbnl.com Commercial in confidence 9
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 11.29 Mbps Mean: 2.47 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 11.3 Mbps Cumulative Peak: 11.3 Mbps Cumulative Mean: 2.5 Mbps Cumulative Mean: 2.5 Mbpswww.cbnl.com Commercial in confidence 10
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 15.12 Mbps Mean: 4.18 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 26.4 Mbps Cumulative Peak: 19.5 Mbps Cumulative Mean: 6.6 Mbps Cumulative Mean: 6.6 Mbpswww.cbnl.com Commercial in confidence 11
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 17.45 Mbps Mean: 7.61 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 43.9 Mbps Cumulative Peak: 30.9 Mbps Cumulative Mean: 14.2 Mbps Cumulative Mean: 14.2 Mbpswww.cbnl.com Commercial in confidence 12
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 14.51 Mbps Mean: 4.64 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 58.4 Mbps Cumulative Peak: 42.9 Mbps Cumulative Mean: 18.9 Mbps Cumulative Mean: 18.9 Mbpswww.cbnl.com Commercial in confidence 13
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 15.83 Mbps Mean: 5.69 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 74.2 Mbps Cumulative Peak: 51.7 Mbps Cumulative Mean: 24.6 Mbps Cumulative Mean: 24.6 Mbpswww.cbnl.com Commercial in confidence 14
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 17.85 Mbps Mean: 6.67 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 92.0 Mbps Cumulative Peak: 60.2 Mbps Cumulative Mean: 31.2 Mbps Cumulative Mean: 31.2 Mbpswww.cbnl.com Commercial in confidence 15
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 15.98 Mbps Mean: 2.93 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 108.0 Mbps Cumulative Peak: 67.8 Mbps Cumulative Mean: 34.2 Mbps Cumulative Mean: 34.2 Mbpswww.cbnl.com Commercial in confidence 16
  • Savings from Point-to-Multipoint Architecture: Spectrum Peak: 15.18 Mbps Mean: 5.49 Mbps Point-to-Point Microwave Radio, Star Topology Point-to-Multipoint Microwave Radio Cumulative Peak: 123.2 Mbps Cumulative Peak: 77.9 Mbps Cumulative Mean: 39.7 Mbps Cumulative Mean: 39.7 Mbpswww.cbnl.com Commercial in confidence 17
  • Savings from Point-to-Multipoint Architecture: Spectrum Point-to-Point Point-to-Multipoint Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps Cumulative Peak: 77.9 Mbps Cumulative Mean: 39.7 Mbps • Spectrum required = 15.4 MHz • Spectrum required = 9.7 MHz * 256-QAM assumedwww.cbnl.com Commercial in confidence 18
  • Savings from Point-to-Multipoint Architecture: Spectrum Point-to-Point Point-to-Multipoint Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps Cumulative Peak: 77.9 Mbps Cumulative Mean: 39.7 Mbps • Efficiency = 32.2% • Efficiency = 51.0%www.cbnl.com Commercial in confidence 19
  • Savings from Point-to-Multipoint Architecture: Power Point-to-Point 37W per radio, 2 radios per link 74W per link 40% power saving per linkwww.cbnl.com Commercial in confidence * Figures reflect market leaders in both categories 20
  • Conclusions • Mobile broadband backhaul traffic • Dedicated backhaul links operate at has specific properties we can exploit a very low efficiency: ~25% (!!) to design more efficient backhaul something blah something different networks something • Point-to-multipoint architecture • Less equipment deployed means dramatically improves spectral additional environmental, capex efficiency and power efficiency and opex benefits per linkVectaStar from Cambridge Broadband Networks is the market leader in point-to-multipoint www.cbnl.com 21