Smartphone Analysis Webinar
Transcript of Smartphone Analysis Webinar
© Aexio Software 2012
Intelligent Optimization
Behavior Analysis of Smartphones
in 3G Networks
Understand Fast Dormancy & Signaling Load Impact
© Aexio Software 2012
1. Smartphone Penetration
2. Understanding Fast Dormancy and how it impacts signaling load in
3G networks
3. Smartphone analysis based on Traffic Measurement Recordings
4. Summary
5. Q&A
Agenda
© Aexio Software 2012
� Kean Chan
� Co-founder and currently Technology
Director at Aexio
� Creator of Ericsson’s MCOM and NeXplorer
tools
� > 15 years experience of RF Optimization
Service & Tools development
� Past:
� Operational Product Manager at
Ericsson TEMS, USA
� Senior RF Consultant, Ericsson AB,
Sweden
About Presenter
© Aexio Software 2012
Global Smartphone penetration
• Global smartphone
penetration at 27%
(1st half 2011)
• 472million units
sold in 2011
Source: www.visionmobile.com (Nov 2011)
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Smartphone penetration in US has increased
from 36% to almost 50% in one year
Global Smartphone penetration
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(0.43x)
(0.77x)
(15x)
Impact of Smartphones on Networks
• Smartphones behaves differently as compared to laptops/dongles
• Smartphones do not generate huge amount of data traffic, but it
creates excessive signaling traffic
Average smartphone generates
8X
signaling traffic than PC/laptop
dongle
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UNDERSTANDING FAST DORMANCYHow Fast Dormancy impacts signaling load in 3G
networks
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Cell_DCH
(Dedicated)
FACH
Cell/URA
PCH
Idle
Battery
Consumption
100 x Idle
40 x Idle
≤ 2
1 (Relative Unit)
>16 RRC signaling
messages
5 sig. 5 sig
3 sig 2 sig
RRC State Transition Signalling vs Battery Consumption
• 3GPP RRC State was designed to achieve balance between battery
life and latency of the connection
RRC State
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Fast Dormancy
• Fast Dormancy was first introduced by RIM to
save battery life for Blackberry
• Fast Dormancy forces network to release UE
to IDLE after data transmission by sending
RRC Signaling Connection Release Indication
(SCRI) message
• Lengthens battery life, but generates more
signals that the network must manage.
• Modern Mobile Application e.g. “What’s App”
with “Keep Alive” will generate new call setup
• “Fast Dormancy” + “Keep Alive” = Operator’s
nightmare
FACH
Cell/URA
PCH
Idle
Cell_DCH
(Dedicated)
Fast D
orm
ancy -
SC
RI
“Keep A
live”
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Fast Dormancy overrides
CELL_FACH & CELL_PCH
Fast Dormancy – Data Traffic vs Signaling Traffic
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3GPP Rel 8 Fast Dormancy
• 3GPP addresses the Fast Dormancy in Release 8
• Network indicates it supports Fast Dormancy by broadcasting timer
T323 in SIB1
• UE starts this timer as soon as data transfer finishes and once the timer
expires sends a SCRI message with cause "UE Requested PS Data
session end".
• Instead of releasing the call, UE can be down-switch to PCH
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UE does not have to wait to send
SCRI
3GPP Rel 8 Fast Dormancy Message
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Solutions & Challenges
• Implement PCH State together with Rel 8 Fast Dormancy will
reduce the signaling load
• Visualize and analyze call messages for each smartphone
• Optimize State Transition Timer to balance between battery
life and signaling load
• Understand the impact of different smartphones in the
network before pushing specific models to end users
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SMARTPHONE ANALYSIS
Based On Traffic Measurement Recordings
(Ericsson GPEH)
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Xeus Pro Smartphone Analysis Feature for Ericsson GPEH
Ericsson GPEH
Trace
Identify UE model
with high
signaling load
Visualization of
state transitions
in the network
Network
Configuration e.g.
Bulk CM ExportAnalyze detailed
messages for
each call
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Smartphone Analysis
Provide RRC State Transition Breakdown for the network
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Signaling vs. RRC State Transition Statistics
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Smartphone KPI Chart
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Smartphone KPI Analysis
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SUMMARY
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• Pre-Rel 8 Fast Dormancy generates excessive
signaling in the network
• Implementing Rel 8 Fast Dormancy together with
PCH will minimize the signaling load while preserving
the battery life of the UE
• Understanding the behavior of each smartphone
model allows better optimization of the RRC State
timers
Summary
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• Fast Dormancy Best Practises by GSMA - July 2011
• Smartphones and a 3G network by Signals Research
– May 2010
• Behavior Analysis of Smartphone - Huawei
References
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Traffic Measurement Recording
• Neighbour
Optimization
• Pilot Pollution
Analysis
• VIP Analysis
• Subscriber KPI
Analysis
• Phone Profiling
• Smartphone
Analysis
• Cell Analysis
• Blocked/Dropp
ed Analysis
• Throughput
Analysis
QOS Analysis
Network Optimization
User Quality Management
• Coverage Plot
• Coverage
Analysis
• User
Positioning
Live Geo-Analysis
Excel Report
Designer
Task
Manager
Ericsson
GPEH (till
W11)
Huawei
PCHR (till
RAN13)
NSN
Megamon
Data Sources
Call Search
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• Support ZTE CTS analysis
• Support Ericsson LTE CTR/UETR
• Smartphone for NSN Megamon/Huawei PCHR
• Backend Server aggregation for Traffic Recording
What we are working on now
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A little bit about AEXIO
• Aexio specializes in multi vendor Network Quality Management and helps
clients manage the Quality of Service of their complex cellular networks
• Excellent track record in working and supporting mobile operators to
deliver specific solutions
© Aexio Software 2012Commercial Confidential. All Rights Reserved. © Aexio Software 2010
Q&A
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Thank you!
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