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Peformance Management and Optimisation tooling
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E-plus meets Tulinx
Date: 18 April 2012 Location: Düsseldorf (Germany)
TULINX Your IT Partner for
Intelligent Optimisation solutions
Introduction
Introduction: TULINX B.V.
18 April 2012 2
We provide IT solutions and a toolbox to automate your Optimisation
3rd party
AWACS
Web Client
MINERVA
Data Warehouse
PM
FM
CORE
DriveTest
cluster
CM
3rd party
GIS
CDR
Radio-NDA
Web Client
Minerva
Process
and
Processing
Modules
Extract Transform Load GUI
SOLUTIONS/TOOLBOX
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YOUR NETWORK
DATA
VISUALISE
PERFORMANCE
ASSISTED OPTIMISATION
SELF OPTIMISATION
With AWACS
• View KPI’s, Trends, Neighbours, etc…
• All network elements and All trends are accessible
• Modular setup (Chart, GIS, TOP N, etc)
• Very clean, powerful and efficient web interface
• Hybrid solutions and customisation possible
• Multi-vendor, Multi-technology
Visualise all network performance now and in the future
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AWACS USE CASES :
• Real-Time Performance Monitoring
• Incident/Trend analysis
• Performance or Quality Reporting
• Site Integration
• Before/After analysis e.g. RAN swaps
• Pilots and special projects
Visualise all network performance now and in the future
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Automated Analyses of network performance for 2G, 3G, 4G and beyond
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With Radio-Network Data Analyzer
• Integration of any available data
• Automated Analysis by Correlation
• Rule-based triggering
• Prioritisation of network issues
• Follow-up and Workflow
• Rich data context (+ AWACS “cockpit”)
• Adaptable and Customisable
Automated Analyses of network performance for 2G, 3G, 4G and beyond
• Cell Availability
• Manual down
• Auto down Availability
• BAD CSSR, CCR for Speech, Packet over 1 or more days
• Avg. RSSI Too Low/Too High
• HSDPA Access Probability, Bad EUL drop rate
• E1 Congestion, No RRC connections
Performance (daily)
• Increase Drop rate over 4 weeks
• RXQUAL67 DL/UL increase over 4 weeks
• PCHAGCH Blocking Performance (weekly)
• Bad SC within x km or for neighbor
• Non symmetrical NB relation
• NB relation distance larger then x km
• Relation added/deleted
Configuration
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Rule-based trigger examples
Automated Analyses of network performance for 2G, 3G, 4G and beyond
Radio-NDA Use Cases
• Performance reporting
• Optimisation
• Cluster Optimisation
• Special Events
• SLA management
• Capacity Management
• Configuration checks
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Roadmap
Analyse subscriber traffic & experience
Intelligent SELF OPTIMISATION (iSON)
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Analyse subscriber traffic & experience
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With AWACS
• Visualise Traffic and Device based on CDR’s
• Show device performance installed base
• Create individual customer experience overview
• Keep track of large account group (SLA)
• Analyse roaming behaviour
Intelligent SELF OPTIMISATION (iSON)
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OTHER
- Objectives /Targets
- Customer Data
- Coverage simulations Automated
Analysis
Data
SON functions
SON
Coordinator/Pilot Automated, Optimised parameters
REPORTING
-KPI/QoS
-Automated SON functions
-Not automated issues/tasks
- Engineer Assistant
- Switch on/off automated tasks
AWACS
Intelligent SON Coordinator/Pilot function
SON Feature
Proposal 1
Proposal 2
Proposal 3
Automatically
generated proposals
Engineer decides what to do
Change Implementation
Proposals can be customized (via scripting)
Engineer decides what to do (responsibility)
Proposals can be automated by engineer
iSO
N
Intelligent SON Coordinator/Pilot function
SON feature
Proposal 1
Proposal 2
Proposal 3
Engineer has automated proposal 3
Automated Optimisation
Engineer has decided that proposal 3 can be automated
Results of automated proposals should be monitored
WHY AUTOMATE WITH TULINX
Supports One Network Multi Vendor
Flexible Customisable
Modular
Usability Performance
Scalable
Future-Proof
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Possible Next steps
• Meeting
• Pilot processing with Your data
• Trial
• ...
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18 April 2012 16
Thank you
Saal van Zwanenbergweg 11 5026 RM Tilburg The Netherlands
+31 13 504 6127
