Building a More Intelligent &                        Scalable LTE Network    Managing the Capacity Crunch with QoS & Polic...
The World’s Traffic Travels Across Devices and                                     Networks Validated by Ixia Ixia works ...
Market Realities Operators need to address                         Revenue vs.                                           ...
Spectrum is a Finite Resource:                 Must be utilized to maximize operator revenue Many different application t...
Business Models: Maximizing Revenues Network                                                      Application            ...
Inflection Point: A chance to do it right this time 3G – “Best Effort”                   4G/LTE  •   Predominately a bes...
LTE and EPC QoS and Policy Control All nodes in the network from consumer devices to servers and  gateways play a role G...
Real Life Tier 1 Operator Test Bed    UE’s                   eNodeB               MME                PCRF                 ...
Traffic Classes and QoS Characteristics                                                           Packet       Packet     ...
Measuring Ensures the Network’s Capabilities                                       When the network                      ...
Network Validation Check Points               Application Fidelity (QoE)              Network Security  QoS and Policy Con...
Why Mobile Operators Cannot Rely Sole on Equipment                                           Vendors                      ...
Forward-thinking Operators                             Will use Proper Network Validation                           Lesso...
Upcoming SlideShare
Loading in …5
×

Day 1-t3-1600 ixia-20120523

861 views

Published on

LTE World Summit Barcelona May 2012
Day 1

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
861
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
16
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Day 1-t3-1600 ixia-20120523

  1. 1. Building a More Intelligent & Scalable LTE Network Managing the Capacity Crunch with QoS & Policy ControlThis material is for informational purposes only and subject to change without notice. It describes Ixia’s present plans to develop and makeavailable to its customers certain products, features and functionality. Ixia is only obligated to provide those deliverables specifically included in awritten agreement between Ixia and the customer. ©2011 Ixia. All rights reserved. 1
  2. 2. The World’s Traffic Travels Across Devices and Networks Validated by Ixia Ixia works with the leading operators and vendors around the globe helping them build better networks A high percentage of devices for wired & wireless networks were built using Ixia gear in the development process“Ixia Used by NTT DOCOMO to Successfully Launch New ‘Xi’ LTE Service” “ZTE sets Evolved Packet Core scalability benchmark”
  3. 3. Market Realities Operators need to address Revenue vs. Traffic Growth growth in mobile data • Increase capacity Traffic • Need to lower price/bit of data Revenue & Traffic Gap Voice Widening Era Multi-prong approach: • Add capacity (core/access) Revenues • Off-load traffic (WiFi, small cells) Data • Improved traffic management Era • New business models Operators cannot build their way out of capacity issues
  4. 4. Spectrum is a Finite Resource: Must be utilized to maximize operator revenue Many different application types and subscriber types • Voice, video, and data have different traffic management requirements to meet subscribers quality expectations Operators must have granular control of network resources
  5. 5. Business Models: Maximizing Revenues Network Application Providers intelligence is at the heart of new Content business models Owners • Tiered performance levels (speed tiers) Advertisers by user, by application • Prioritized traffic E-tailers • On demand performance boosts • Consumer video vs. Broadcasters business class video • New services Expand from today’s one-sided to a two-sided business model
  6. 6. Inflection Point: A chance to do it right this time 3G – “Best Effort”  4G/LTE • Predominately a best • Greater customer effort network expectations • All applications • Policy/QoS well- treated equally, little defined as an end- optimization for video to-end system • QoS specified but • DPI (packet not implemented filtering) embedded in • DPI implemented ad network entities hoc, stand alone LTE specifications are in place. It’s up to operators to demand they are implemented and properly validate their network designs
  7. 7. LTE and EPC QoS and Policy Control All nodes in the network from consumer devices to servers and gateways play a role Getting this right is the key to a high quality network that optimizes traffic and maximizes profit
  8. 8. Real Life Tier 1 Operator Test Bed UE’s eNodeB MME PCRF (DUT) (DUT) (DUT) MGCF, MGW (PSTN) Uu S1-MME Rx S1-u S11 Gx UE, eNodeB, MME S1-u SGi S-GW PDN-GW IMS (DUT) (DUT) Network (DUT) Replicate a complete multi-vendor LTE network in the lab • Access, backhaul, EPC, IMS Core, Internet, data center SIP User UE emulation provides end-to-end measurements from Uu to PSTN Agents Emulation of eNodeB/MME over S1-U/S11 provides high traffic volume to stress the network and create resource contention
  9. 9. Traffic Classes and QoS Characteristics Packet Packet QCI Resource Traffic DSCP Application Delay Error Loss (Bearers) Type Priority (Transport) Budget RateOperator VoIP 1 GBR 2 100 ms 0.01 11IMS Signaling 5 Non-GBR 1 100 ms 0.000001 10Streaming Video 6 Non-GBR 6 150 ms 0.001 18Data Application Traffic forPublic Safety Users 7 Non-GBR 7 300 ms 0.000001 26Best Effort DataApplication Traffic (webbrowsing, video streaming,FTP, email) for EnterpriseUsers 8 Non-GBR 8 300 ms 0.000001 28Best Effort DataApplication Traffic forConsumers 9 Non-GBR 9 300 ms 0.000001 41
  10. 10. Measuring Ensures the Network’s Capabilities  When the network becomes congested… …. does the correct traffic get prioritized
  11. 11. Network Validation Check Points Application Fidelity (QoE) Network Security QoS and Policy ControlNetwork Scalability Each area is interdependent on the others 11
  12. 12. Why Mobile Operators Cannot Rely Sole on Equipment Vendors 12
  13. 13. Forward-thinking Operators Will use Proper Network Validation  Lessons learned from 3G must be applied to 4G/LTE  Capacity challenges will persist forcing operators to best utilize their resources  Customer expectations of quality/performance are increasingApplication Fidelity (QoE) Too much is at stake and Network Security systems are too complex / QoS and Policy Control operator specific to leave it to the vendors Network Scalability

×