3-Smartphone Capacity Impact (09292009)

8/6/2019 3-Smartphone Capacity Impact (09292009)

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Smartphone Capacity Impact


2/17

2

Introduction

Mobile data networks seeing growth not only indata usage but also access rates

Smartphones becoming mainstream method forpeople to access network applications

Usage patterns creating interesting shift innetwork call models


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Signaling Consuming More Resources than Data

3

30%

35%

40%

45%

50%

55%

60%

65%

112

23

34

45

56

67

78

89

100

111

122

133

144

155

166

177

188

199

210

221

232

243

254

265

276

287

298

309

320

10per.Mov.Avg.(CallResource%) 10per.Mov.Avg.(Data Resource%)

Signaling consumes over 50% of available network resources

Time

Signaling Resource % Data Resource %


4/17

Call Attempts Growing Faster than Data Usage

4

1.00

2.00

3.00

4.00

5.00

6.00

7.00

50.00

100.00

150.00

200.00

250.00

300.00

C

allattempts

Millions

Totalmonth

lydatausage(GBytes)

Time

4per.Mov.Avg.(DataVolume) 4per.Mov.Avg.(CallVolume)Data Volume Call Volume

Monthly growth rate of call attempts higher than data volume growth


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What is Happening?

More network resources on calls vs. data

Call attempts growing faster than data traffic

Indicates larger number of short data calls Think of 5-10 second voice calls

5


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Who is making all of these calls?

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Smartphones

55%

OtherDevices45%

CallAttemptDistribution

Smartphones

8%

OtherDevices

92%

DevicesDistribution

Network data indicate

smartphones accountfor over half of datacalls during busyhours

Smartphonepenetration is lessthan 10%


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Smartphone Call Impact

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0

1

2

3

4

5

6

7

Smartphones OtherDevices

CallAttemptsperDevice

Data calls per device slant significantly to smartphones


8/17

Why Smartphones?

8

E-mail

Social Networking

Location Based Services


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Why do we care?

9

Need to be able to react to dramatically changingcall models as new devices rolled out


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What do we do about it?

Scale up call capacity in network equipment

Its not always about data capacity

Shift existing network resources to call capacity Dynamically move data processing resources to call

processing

Offload users from macro network

10


11/17

Typical EV-DO Data Network

11

BTS

BTS

BTS

CN

AAA

BTS A10/11

RNCPDSN

IP

Core

Network

AN

AAA

IP Abis

A12

Backhaul

RNC handles all call anddata traffic and can quicklybecome bottleneck


12/17

Split up subnet for capacity bottlenecks

12

BTS

BTS

BTS

Backhaul

CN

AAA

BTS

A10/11

A10/11

EMS

RNC

RNC

PDSN

IP

Core

Network

AN

AAA

IP Abis

A12

Splitting subnet not optimaldue to handoff boundary, re-planning costs

SubnetBoundary


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Load balance additional capacity

13

BTS

BTS

BTS

CN

AAA

BTS A10/11

RNCPDSN

IP

Core

Network

AN

AAA

IP Abis

A12

Backhaul

Provide ability to addcapacity without introducinghandoff boundaries

RNCRNC


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Reallocate Network Resources

14

BTS

BTS

BTS

CN

AAA

BTSA10/11

PDSN

IP

Core

Network

AN

AAA

IP Abis

A12

Backhaul

Provide ability to provisionamount of resources for call

processing vs. data processing

Data

RNC

Call

Data

RNC

Call

Data

RNC

Call


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Offload Network Load to Femtocells

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CN

AAA

IP

Core

Network

BTS

BTS

BTS

BTS A10/11

AN

AAA

IP Abis

A12

Backhaul

Data

RNC

Call

Data

RNC

Call

Data

RNC

Call

PDSN

Provide ability to offload users frommacro network using femtocells


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Summary

Smartphone devices can change call modelsovernight

In mobile data network, call rates as important asdata rates

Operators need variety of methods to quicklyadapt to changing network

Confidential & Proprietary16


17/17

Confidential & Proprietary17

Thank You

3-Smartphone Capacity Impact (09292009)

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