day 1-t3-1600 ixia-20120523

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This material is for informational purposes only and subject to change without notice. It describes Ixia’s present plans to d evelop and make available to its customers certain products, features and functionality. Ixia is only obligated to provide those deliverables specifically included in a written agreement between Ixia and the customer. ©2011 Ixia. All rights reserved. 1 Building a More Intelligent & Scalable LTE Network Managing the Capacity Crunch with QoS & Policy Control

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LTE World Summit Barcelona May 2012Day 1

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Page 1: Day 1-t3-1600 ixia-20120523

This material is for informational purposes only and subject to change without notice. It describes Ixia’s present plans to develop and make

available to its customers certain products, features and functionality. Ixia is only obligated to provide those deliverables specifically included in a

written agreement between Ixia and the customer. ©2011 Ixia. All rights reserved.

1

Building a More Intelligent &

Scalable LTE Network

Managing the Capacity Crunch with QoS & Policy Control

Page 2: Day 1-t3-1600 ixia-20120523

The World’s Traffic Travels Across Devices and

Networks Validated by Ixia

“Ixia Used by NTT DOCOMO to Successfully Launch New ‘Xi’ LTE Service”

“ZTE sets Evolved Packet Core scalability benchmark”

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

Page 3: Day 1-t3-1600 ixia-20120523

Market Realities

Traffic

Revenues

Revenue vs.

Traffic Growth

Revenue &

Traffic Gap

Widening Voice

Era

Data

Era

Operators cannot build their way

out of capacity issues

Operators need to address

growth in mobile data

• Increase capacity

• Need to lower price/bit of data

Multi-prong approach:

• Add capacity (core/access)

• Off-load traffic (WiFi, small cells)

• Improved traffic management

• New business models

Page 4: Day 1-t3-1600 ixia-20120523

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

Page 5: Day 1-t3-1600 ixia-20120523

Business Models: Maximizing Revenues

Network

intelligence is at

the heart of new

business models • Tiered performance

levels (speed tiers)

by user, by

application

• Prioritized traffic

• On demand

performance boosts

• Consumer video vs.

business class video

• New services

Content

Owners

Advertisers

Broadcasters

Application

Providers

E-tailers

Expand from today’s one-sided to

a two-sided business model

Page 6: Day 1-t3-1600 ixia-20120523

Inflection Point: A chance to do it right this time

3G – “Best Effort”

• Predominately a best

effort network

• All applications

treated equally, little

optimization for video

• QoS specified but

not implemented

• DPI implemented ad

hoc, stand alone

4G/LTE

• Greater customer

expectations

• Policy/QoS well-

defined as an end-

to-end system

• DPI (packet

filtering)

embedded in

network entities

LTE specifications are in place. It’s up to operators to demand they are

implemented and properly validate their network designs

Page 7: Day 1-t3-1600 ixia-20120523

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

Page 8: Day 1-t3-1600 ixia-20120523

UE’s eNodeB

(DUT)

MME

(DUT)

PCRF

(DUT)

UE, eNodeB, MME

S1-u S11 Gx

S-GW

(DUT)

PDN-GW

(DUT)

S1-MME

S1-u

Real Life Tier 1 Operator Test Bed

SGi

Rx

IMS

Network

(DUT)

MGCF, MGW

(PSTN)

Replicate a complete multi-vendor LTE network in the lab

• Access, backhaul, EPC, IMS Core, Internet, data center

UE emulation provides end-to-end measurements from Uu to PSTN

Emulation of eNodeB/MME over S1-U/S11 provides high traffic volume to

stress the network and create resource contention

SIP User

Agents

Uu

Page 9: Day 1-t3-1600 ixia-20120523

Traffic Classes and QoS Characteristics

Application QCI

(Bearers) Resource

Type Traffic

Priority

Packet Delay

Budget

Packet Error Loss

Rate

DSCP (Transport)

Operator VoIP 1 GBR 2 100 ms 0.01 11

IMS Signaling 5 Non-GBR 1 100 ms 0.000001 10

Streaming Video 6 Non-GBR 6 150 ms 0.001 18

Data Application Traffic for Public Safety Users 7 Non-GBR 7 300 ms 0.000001 26 Best Effort Data Application Traffic (web browsing, video streaming, FTP, email) for Enterprise Users 8 Non-GBR 8 300 ms 0.000001 28 Best Effort Data Application Traffic for Consumers 9 Non-GBR 9 300 ms 0.000001 41

Page 10: Day 1-t3-1600 ixia-20120523

Measuring Ensures the Network’s Capabilities

…. does the correct

traffic get prioritized

When the network

becomes congested…

Page 11: Day 1-t3-1600 ixia-20120523

Network Validation Check Points

11

Network Security

Application Fidelity (QoE)

QoS and Policy Control

Network Scalability

Each area is interdependent on the others

Page 12: Day 1-t3-1600 ixia-20120523

12

Why Mobile Operators Cannot Rely Sole on Equipment

Vendors

Page 13: Day 1-t3-1600 ixia-20120523

Forward-thinking Operators

Will use Proper Network Validation

Network Security

Application Fidelity (QoE)

QoS and Policy Control

Network Scalability

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 increasing

Too much is at stake and

systems are too complex /

operator specific to leave it

to the vendors