Intelligent Infrastructure for 3G/4G Wireless

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Presentation slides from Ciena's Chuck Kaplan during 4G World, Oct 24-27, 2011 in Chicago.

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Intelligent Infrastructure for 3G/4G Wireless

  1. 1. Intelligent Infrastructure for WirelessThe growing role of Packet Transport Chuck Kaplan 4G World, Chicago October 26, 2011 © Ciena Corporation
  2. 2. New Network Dynamics New traffic consumption patterns New network requirements For wireless For everything else Packet Transport: what attributes do we value? Simplified wireless infrastructure2 © Ciena Confidential and Proprietary
  3. 3. Traffic Demand Patterns 1M 10M 100M 1G 10G 100G 1T Consumption Patterns are Changing(Traffic, not necessarily transactions) Trend Tomorrow Yesterday3 © Ciena Confidential and Proprietary
  4. 4. Smart Phone bandwidth consumption 154% CAGR Mobile broadband 3,806 PB/mo. everywhere 91 PB/mo. Source: Cisco, Visual 2009 2014 Networking Index, Global Mobile Data, 2011 Mobile data growthBandwidth challenge coming from streaming media, file size and latency  a Packet Transport task. Growing to G-bytes / month 4 © Ciena Confidential and Proprietary
  5. 5. Residential Broadband bandwidth consumption Video, video and more video 71% CAGR 25,608 PB/mo. 2,966 PB/mo. 2009 2014 Source: Cisco, Visual Networking Index, 2011 Video traffic growthBandwidth challenge coming from video to many screens, file size and latency  a Packet Transport task. 5 G-bytes / HD movie 5 © Ciena Confidential and Proprietary
  6. 6. Wireless Backhaul bandwidth consumption Backhaul Network MSC Microwave & Fiber Fiber MNO1 eNB L3 L2 L2 L2 (IP endpoint) X2Cluster 10GE DWDM POTS 100GE GE 100-300Mbps 10GE GE 10GE MNO2 BW challenge is heavy, constant flow with low packet delay variation  a Packet Transport task. 6 100-300-1000 Mbps / cell site © Ciena Confidential and Proprietary
  7. 7. Enterprise bandwidth consumption Bandwidth challenge coming large file transfer sizes (Powerpoint,data backup) and multimedia streaming  a Packet Transport task. Soon de-facto service level = 1 Gbps 7 © Ciena Confidential and Proprietary
  8. 8. Machine-to-Machine bandwidth consumptionEnterprise Data Center A Private, Public, and Provider Data Center C Hybrid CloudsEnterprise Data Center B Provider Data Center DBandwidth challenge coming from large, latency-sensitive virtualmachine migrations and database sync  a Packet Transport task.8 Terabyte-sized VM migrations © Ciena Confidential and Proprietary
  9. 9. Key Take-Aways New usage patterns indicate connection-oriented behavior Majority of metro and core traffic is “transit traffic” General-purpose routers are too costly, power hungry For majority of traffic, need  Packet processing by a router less overhead per packet takes longer than frame forwarding by a Layer-2 switch. Work Done per  Use pre-determined path to Packet final destination to avoid hop-by-hop lookups. File size Packet handling bifurcating into two functions: 1. Specialized IP service processing (including routing) 2. Packet Transport (simple tandem switching)9 © Ciena Confidential and Proprietary
  10. 10. Bifurcating to Optimize Cost and Performance IP-based Packet services Transport ComplexityIncreases with higher touch IP/MPLS processing Internetworking Global IP Addressing Unit Cost Carrier OTN Ethernet MPLS-TP Packet-Optical Switching Decreases as bandwidth is aggregated Ethernet Encapsulation OTN Encapsulation Coherent DWDM Capacity Management10 © Ciena Confidential and Proprietary
  11. 11. Traffic Demand Patterns 1M 10M 100M 1G 10G 100G 1T Traffic Engineering Move traffic to where the bandwidth is Reactive, probabilistic network operations Packet routed (connectionless) IP/MPLS Packet MPLS-TP Packet switched Carrier Ethernet Transport OTN/DWDM Circuit switched (connection-oriented) Capacity Engineering Move bandwidth to where traffic is Proactive, deterministic network ops Trend Tomorrow Yesterday11 © Ciena Confidential and Proprietary
  12. 12. Packet Transport: Which Attributes do we Value? Dramatically lower cost / bit Liquid, on-demand bandwidth Comprehensive High-frequency trading OAM&P Toolbox Auto-Restore Traffic99.9999% availability, survivability Application-sensitive latency Packet Transport Design Objectives 12 © Ciena Confidential and Proprietary
  13. 13. De-Costing LTELTE Backhaul Issues LTE Backhaul Solutions Complex protocol stack Simple protocol stack MNO user IP Full suite of sync choices Transport IP backhaul Application enablement <10 msec latency Mobile broadband, cloud Provisions and restores faster Service turn-up speed 30% incremental savings 13 © Ciena Confidential and Proprietary
  14. 14. The Secret Sauce: Network Intelligence Auto-Discover1 TopologyAutomated Topology Discoveryself-inventory OSS2 InitiatedAutomated Path computationconnection (static and on-demand)management3Self-healingnetwork Auto-Restore Coordinated survivability across layers Traffic Planned Maintenance4 OSS InitiatedEfficient Multi-layer cost optimization,planning & Migrated Traffic alarm correlationoperations Automation: deterministic and de-costed 14 © Ciena Confidential and Proprietary
  15. 15. Proactive OAM&P Operations, Administration, Maintenance, and ProvisioningTurn-up Acceptance and SLA Conformance TestingLayer 3 SLA Monitoring & Metrics: Delay, Jitter Multi-layerLayer 2 SLA Monitoring & Metrics: Delay, Jitter, Frame Loss correlation for faultLayer 1 OTN OAM diagnostics, localizationLayer 0 Photonic OAMService Heartbeats, End-to-End & Hop-by-Hop fault detectionEnhanced troubleshooting, rapid network discovery Visibility, Manageability & Control 15 © Ciena Confidential and Proprietary
  16. 16. Simplifying The Wireless Network Mobile Device Applications IP IP-aware Packet Optical Express Multi-layer Transport & Switching Management, 100GE Planning & 10GE POTS Optimization Tools Distributed intelligent control plane Ethernet & Optical On Ramp Access/Metro Core Services Packet Packet Optical Packet Transport Ethernet Access Aggregation Transport Express 16 © Ciena Confidential and Proprietary
  17. 17. SummaryPacket Transport for Wireless (and almost everything else) New Packet Key value in consumption Transport network patterns driving growing in intelligence / packet capacity importance control plane  Connection-  Focal point for  Multi-layer Oriented improvements in intelligence cost, performance  Transit-heavy  Proactive OAM17 © Ciena Confidential and Proprietary
  18. 18. Thank You© Ciena Corporation

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