ultima mentor - engineers daily operation - automatic analysis and optimization.pdf
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Gur Lavie, Director Product Marketing
Ultima MentorEngineers Daily OperationAutomatic Diagnostic, Resolution and Optimization
Voice & HSPA
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IMPORTANT NOTE
This is NOT a MENTOR product presentation
For a detailed explanation of the Mentor Product architectureand components, please see the relevant PRODUCT
presentation
ALL the features which are described in this presentation are
part of the standard package
ALL of Mentor capabilities are based on data automatically
collected from the network.
MENTOR does NOT USE predictions and drive tests data
MENTOR is a Multi-Vendor tool supporting all relevant
vendors
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Engineering Activities (1)
With Mentor You can automatically Identify and resolve
Coverage Holes
Areas with poor network quality
Pilot polluters
Pilot dominance problems
Low downlink and uplink throughput
Over-shooter (killer sectors)
Cross-feeders/swap cells *version 7.2
Resolve all of the above with
Power, Parameters & Tilt Automatic Optimizations
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Engineering Activities (3)
With Mentor You can automatically Identify and resolve
VIP customers high drop rate
Specific IMSI/IMEI trouble Ticket
Equipment Types problems (uplink/downlink)
Roamers coverage and quality
Analyze each drop location, cause, events
Resolve all of the above with
All Automatic Optimization Features
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Examples of Mentor Usage by Engineers
Problem Identification
Coverage, Quality, Capacity, Throughput Voice & HS Data service
Individual subscribers problems
Automatic Problem Resolution OneClick Neighbor List plan and provisioning
IRAT automatic planning
Automatic resolving of SC conflicts
Automatic Tilt changes recommendations
CQI, RAB and other parameters optimization
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Analyze KPIs in GIS and Table
Quality, Capacity, Throughput & Backhaule KPIs
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KPI Layer Example
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How do I Know I am improving the network
Analyze the network from statistical perspective
Includes
Message statistics
EcIo/RSCP distribution
Pilot Dominance
Cells statistics
Traffic load
Power distribution
Soft HO factor
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Types of GeoMaps in Mentor
Traffic
Minutes of use
Erlang
Users
Performance
Best server
RSCP,EcIo Soft/softer HO factor
Pilot pollution,Pilot dominance
Uplink/Downlink Throughput/volume
UeTx power
Drop map, IRAT, mobile drop
Arc Maps
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Where do I need to improve coverage/quality/throughput ?
Show the coverage quality for top dropping cells
Define a regular Ec/Io map Define Ec/Io as the map
Set filtering parameter to KPI and condition to top%
Show theproblematiccoverage quality areas for top dropping cells
Define a regular Ec/Io map Define Ec/Io as the map
Set filtering parameter to KPI and condition to top%
AND filtering MAP for Ec/Io bottom 5%
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Identifying Problems with GeoMaps
Use Layer->Show Combined Selection Set on Map to see which cells are
selected for the specified condition
Use the threshold slider to dynamically modify thresholds
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Automatically Fixing Neighbor List Problems
Visualizing Neighbor Lists
Changing Priorities
Adding and removing Neighbors
Unique Neighbor List Quality Indicator
Automatic Provisioning Script to implement changes
14Neighbor List Before Neighbor ListAfter
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Case B - Neighbor List Optimization
Before optimizationAfter optimizationSurrounding cluster, needs
further improvements
Handover rate change
indicates the potential to
improve the current Neighbor
list.
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IRAT analysis and optimization
Pinpoint IRAT events location
Identify 3G and 2G serving and receiving cells
Automatically fix the IRAT Neighbor List
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Automatic Resolving Scrambling Code Conflicts
Existing sites co-SC solution
user initiated as recommended by the Neighbor
List reports
New sites
Scrambling Code planning
Neighbor List planning
Redraw
Global SC solution
SC carving (For Femtocells etc)
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Improving Coverage/Quality/Throughput by Antenna Parameter change
Power, Tilt, Azimuth & Beam Width Optimization Wizard
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Optimization Sample
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Example of Antenna Parameter Optimization
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EcIo Crossing threshold
Resulting changes after optimization
Optimization Automatically
Executed in the server
0.01.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
10.0
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-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0
Best Server EcIo [dB]
[%o
fmessages]
Ec/Io [dB] - Before
Ec/Io [dB] - After
l h
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Case C Quality Improvement with Mentor
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Case C Capacity Improvement with Mentor
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Power Efficiency
increase
25 %
A l i d i i i A A S i
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Analyzing and optimizing DATA Services
APN (Access Point Names) analysis in Mentor
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Case A Improving HSDPA User Throughput BH (Kbps)
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Case A Improving HSDPA Cell Throughput BH (Kbps)
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xxx330182037504
xxx330213260708
xxx330214227492
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Individual Subscribers Analysis
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Subscribers drops correlated with EcIo, RSCP & KPIs
Subscribers Problems
T d l ifi i
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Top droppers classifications
bl h l b b bl
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Trouble shooting Individual Subscriber Problem
l i
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Count of Drops Country125663 United States of America
29 Canada
13 United Kingdom
7 Mexico
5 France
3 Cyprus
2 Brazil2 Spain
2 Austria
2 Singapore
2 Netherlands
1 Australia
1 Argentine Republic
1 Norway
1 Sweden
1 Italy
1 Kuwait
1 Germany
Top Voice dropping IMSIs Roamers
Count of drops Country
123657 United States of America
234 United Kingdom
59 Canada
49 France
10 Italy
7 Belgium3 Belgium
2 Hong Kong (PRC)
2 Mexico
2 Sweden
2 Indonesia
2 Germany
2 Spain
2 Japan
1 Switzerland
1 South Africa
1 New Zealand
1 Spain
Top HS dropping IMSIs Roamers
Roamers analysis
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Summary
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Summary Mentor Workflow Building Blocks
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Sample Workflow:
2G-3G
Inconsist.
IRAT
Optim.
Summary - Mentor Workflow Building Blocks
Neighbors
Coverage Capacity
Parameters Customer
Analysis
Quality
Antenna
Parameters
Optimization
Objectives
Analysis
SC
Optim.
Over-
Shooting
Power
Optim.
Electrical
Tilt
RAB
Power
CQI
Optim.
Mech.
Tilt
NL
Optim.
CEM GeoMaps KPIs
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Data
Product Differentiators
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Product Differentiators
RNC/MSC based licensing: no per-seat limitations
Distributed-Centralized automatic data collection and modeling Most Accurate Geo-positioning engine, including moving, stationary,
in-building and outdoor subscribers
Automatic Neighbor List and SC optimization
Automatically generated full cluster plan not just tables of data
CO-SC problem identification and automatic resolution IRAT optimization
Advanced parameter usage: overshooting sectors,
symmetry/reciprocity enforcement, locking and more
Automatic power, tilt, and parameter optimization
Advance data processing
GPEH, UETR, CTR, RBS
Encapsulated RF knowledge instead of overwhelming engineers
with more data
SmartCluster optimization
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