From GSM to VoWiFi; The Evolution of Performance
Management in Mobile Packet CoreHelge Ytre-Hauge, System Manager Mobile Packet Core, Telenor Norway
Telenor in Norway
• Norway
• 5.2M people
• Rich and happy in most rankings
• Export of oil, gas, fish and metals
• Imported 2.8M mobiles 2015
• Telenor Norway
• Market leader with mobile, fixed, and
TV operation
• 21 % of Telenor Group Revenue
• 3.2M Mobile Subscribers
– 50% of Norwegian market
– 1.5% of Telenor Group subscribers
2
Telenor in Norway
• Norway
• 5.2M people
• Rich and happy in most rankings
• Export of oil, gas, fish and metals
• Imported 2.8M mobiles 2015
• Telenor Norway
• Market leader with mobile, fixed, and
TV operation
• 21 % of Telenor Group Revenue
• 3.2M Mobile Subscribers
• Mobile Network, 2G/3G/4G
• 99.8% coverage
• Handsets
– 80% smart phones / 50% iPhones
– 60% 4G phones
– 30% VoLTE capable
• 85% of data at 4G
3
EPC in Mobile Networks
4
SGSN/MME
SGW/PGW/GGSN
Internet
EPC
Corporate
Access
UDC
Signaling
& CS
Radio Access
2G
Policy &
ControlHSS
HLR
PCRF
OCS
3G 4G
ePDG
M2M
RCS
VoLTE
VoWiFiIMS
SBC MTAS
CSCF SBG
STPDSC
MSC
MGW
WiFi
15 VTIs
5
Mobile Data and Complexity Growth
2G/3G
4G Data
4G w/CSFB
2008 2009 2010 2011 2012 2013 2014 2015 2016
VoWiFi
w/ 4G
mobility
4G Voice
VoLTE
Network
Complexity
Importance of
Services
The Evolution Challenges
6
Reporting
Solution
PrOptima™
Organization
Size
Network
Complexity
Importance
of Services
Organization
Size
PM Tool
Capabilities
Organization &
Processes
Network
Measurements
Network
Equipment
Properties
The Knowledge Pillars of a Good Reporting Solution
7
Reporting
Solution
PrOptima™
The Knowledge Pillars of a Good Reporting Solution
8
Reporting
Solution
PrOptima™
Network Vendor
MYCOM OSI
Network Vendor
Telenor
Network
Equipment
Properties
Network
Measurements
PM Tool
Capabilities
Organization &
Processes
The Knowledge Pillars of a Good Reporting Solution
9
Reporting
Solution
PrOptima™
Network Vendor
MYCOM OSI
Network Vendor
Telenor
Organization &
ProcessesTelenor
Telenor Telenor
PM Tool
Capabilities
Network
Measurements
Network
Equipment
Properties
• EPC
• 1 HW
• 2 Configs
• 2 Functions
• 15 Min Granularity
VTI Optimization
• Insight in PrOptima™, Mobile Technology, Network
Equipment and Telenor processes have led to
optimized VTI structure.
• Trade-offs between consolidation and separation,
HW vs SW Applications
10
SGSN
GGSN
GGSNSGSN
SGSN GGSN
SGSN VTI + TAP GGSN VTI + TAP
2010
• EPC
• 1 HW
• 2 Configs
• 5 Functions
• 15 Min Granularity
VTI Optimization
• Insight in PrOptima™, Mobile Technology, Network
Equipment and Telenor processes have lead to
optimized VTI structure.
• Trade-offs between consolidation and separation,
HW vs SW Applications
11
SGSN
PGW
SGWGGSN
MME
GGSNSGSN
MME SGW
PGW SGSN GGSN
MME SGW PGW
EPC VTI + TAP
2011
SGSN VTI + TAP GGSN VTI + TAP
• EPC
• 1 HW
• 2 Configs
• 5 Functions
• 15 Min Granularity
VTI Optimization
• Insight in PrOptima™, Mobile Technology, Network
Equipment and Telenor processes have lead to
optimized VTI structure.
• Trade-offs between consolidation and separation,
HW vs SW Applications
12
SGSN
PGW
SGWGGSN
MME
GGSNSGSN
MME SGW
PGW SGSN GGSN
MME SGW PGW
One EPC VTI + TAP
2012
• EPC
• 1 HW
• 3 Configs
• 6 Functions
• 5 Min Granularity
VTI Optimization
• Insight in PrOptima™, Mobile Technology, Network
Equipment and Telenor processes have lead to
optimized VTI structure.
• Trade-offs between consolidation and separation,
HW vs SW Applications
13
SGSN
PGW
SGWGGSN
MME
ePDG
ePDG
GGSNSGSN
MME SGW
PGW SGSN GGSN
MME SGW PGW
ePDG
One EPC VTI
2015
The User Interface
• Capacity and Quality
• Long term trends – more than a year
• Trends and Reporting – last month
• Routines and well defined KPIs and limits
• Limited number of KPIs per network function
• Aggregated levels
• Troubleshooting
• Events and daily monitoring
• Medium term trends
• Single network elements and unlimited number of measurements
• Large workspaces organized in project books
• Click and Scroll in finished views for capacity and quality
• Complex overview is starting point for troubleshooting
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The User Interface – Capacity Monitoring Example
15
The User Interface – Capacity Monitoring Example
16
The User Interface – Capacity Monitoring Example
17
The User Interface – Capacity Monitoring Example
18
The User Interface – Key Elements for Easy Maintenance
19
NEs:
• Network Area Totals
• Network Area Content
Multi release KPIs Minimum Report
Maintenence with
Network Upgrades
and Changes
User Interface Tuning
20
Starting point matching old solution
Can we make it simpler?
Could we add more?X XX
Email Reports – Better Control with Less Resources
• No projects books for
emails
• Specially designed
workspaces with suitable
layout for emails.
• Calculation time is
hidden.
• Capacity and quality
trends easily spotted
21
Alarms – Better Control with Even Less Resources
• Too many reports too often is time consuming.
• Frequency vs Control is trade off
• Emails must be scheduled
• Email alarms can be triggered when limits are crossed.
22
Email Reports used to monitor events
• Expected traffic peaks,
upgrades or other
changes.
• Performance reports
distributed at wanted
frequency to a broad
team of internal or
external stakeholders
23
VoLTE - New Technology and Increased Complexity
• Long pilot phase with few subscribers needed to verify and implement
technology, internal and external pilots
• Launch with slow ramp up - stepwise provisioning of selected terminals
• Next main step is launch for Apple
24
5x
VoLTE KPI Example – SRVCC Success
• Call Handover Success from VoLTE to 2G/3G (CS) can be measured in
several nodes, but with different results
• The KPI levels in a pilot phase have limited value
25
Pilot Ramp-up Launch
VoLTE and VoWiFi
Load and Performance Overview?
26
Finding the Right Balance
• The right KPIs
• The right network levels and areas.
• The right time and granularity
• The right people
27
Thank you