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7/18/2019 Actix Analyzer UMTS Analysis Guide-libre
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www.actix.com
November 2005
UMTS
Analysis Guide
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The content of this manual is provided for information only, is subject to change without
notice, and should not be construed as a commitment by Actix. Actix assumes noresponsibility or liability for any errors or inaccuracies that appear in this documentation.
Copyright © Actix 2 005-2008. All rights reserved. All trademarks are hereby acknowledged.
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Contents
1 INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4
2 OPERATIONAL TASKS AND PROCESSES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5
2. 1 S
ITEINTEGRATION AND
INFRASTRUCTURE
TESTING
. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . 7
2. 2 DETAILED CALL SEQUENCE ANALYSIS . . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . . 8
2. 3 BENCHMARKI NG AND STATISTICAL ANALYSIS. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . . .. 9
2. 4 RADIO LINK PERFORMANCE TROUBLESHOOTING........................................................10
3 FEATURE OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3. 1 ACTIX ANALYZER ...........................................................................................12
3. 2 APPLICATION LAYERS ......................................................................................13
3.2.1 Neighbor List Analysis Module .............. ............... ............... ............... ....14
3.2.2 CPICH Pollution Analysis Module ..... ..... ..... ..... ..... ..... ..... ..... ..... .... .... ..... .. 17
3.2.3 Handoff State Analysis Module (for scanner) ................ ............... ............ 19
3.2.4 Emulated Active Set Module................ ............... ............... ................ ....22
3.2.5 CPICH before RRC Connection Request Module .... ..... ..... ..... ..... ..... ..... ..... .23
3.2.6 CPICH before call end or drop Module.....................................................24 3.2.7 CPICH during call Module........................... ................ ............... ............ 25
3.2.8 CPICH after call end or drop Module............... ............... ................ ......... 26
3.2.9 Call Setup Status Module............ ............... ............... ................ ............ 27
3.2.10 Call Sequence Analysis Module ............... ................ ................ ............. 28
3.2.11 Call Statistics Module (CS or PS)..........................................................29
3.2.12 Call Sustainability Module ............... ................ ................ ................ ....30
3.2.13 Call Timing Analysis Module ............... ................ ................ ............... ..31
3.2.14 File Summ ary Module............... ............... ................ ............... ............ 32
3.2.15 Coverage Summ ary Module .............. ............... ............... ................ ....33
3.2.16 Handoff Breakdown Analysis Module (Handset) ..... ..... ..... ..... ..... ..... ..... ... 34
3.2.17 SHO per event 1a-1b-1c Module .............. ............... ................ ............. 35
3.2.18 Overall BLER Module .............. ............... ............... ............... ............... 36
3.2.19 BLER Per call Module................... ............... ................ ................ ........ 36
3.2.20 BLER during SHO Module ................ ................ ................ ................ ....37
3. 3 FILTERS .....................................................................................................37
3. 4 STATEFORMS................................................................................................38
3.4.1 UMTS Data Event Navigator ................ ............... ................ ............... ....38
3.4.2 UMTS Data Session ............... ................ ............... ................ ............... 39
3.4.3 UMTS Throughput .............. ............... ................ ............... ............... ....40
3.4.4 UMTS Top 10 Scan Measurements ................ ................ ............... .......... 41
3.4.5 UMTS UE Active + Monitored Set .............. ............... .............. ............... .42
3.4.6 UMTS UE Call I nformation................. ................ ................ ............... ..... 43
3.4.7 UMTS UE Measurements Charts...... ............... ............... ................ ......... 44
3.4.8 UMTS UE Radio Parameters ................ ............... ............... ................ ....45
3.4.9 UMTS UE Transport Channel I nfo ............... ................ ................ ............ 46
3.4.10 UMTS Voice Event Navigator (CS Only) .... ..... ..... ..... ..... ..... ..... ..... .... .... .. 47
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Actix Analyzer UMTS Analysis Guide Novem ber 20 05 Introduction 4
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1 I ntroduction
It is widely recognized that increasing productivity fuelled much of t he global economic
expansion of the 1990’s. Technological advances in softw are and h ardware usually enable
these productivity improvements, although there is often a lag between the availability ofthe new t echnology, and it s widespread acceptance and deploym ent by industry. This gap
is sometimes called the productivity lag factor.
Some examples of this include the introduction of automated bank teller technology in the
1980’s in t he US. When t he technology initially became available, it w as only sparingly
deployed, and the units were oft en placed inside bank buildings where the pr oductivity
enhancement s they offered w ere limited. Likewise, unattended gasoline pump technology
has been slow t o roll out in Europe, but as the technology has become w idely adapted,
huge efficiency gains have been realized.
The wireless industry is now at a similar point. It understands that the traditional labor-
intensive techniques for maxim izing performance and capacity in wireless infrastructure
are fundamentally limited by a lack of structured algorithms to determine improvements.
Actix Analyzer offers the possibility to look at drive test data and scanner data t o fully
optim ize a UMTS network. It allows the engineer t o understand t he causes and reasons for
drop calls and access failures.
Analyzer offers an unprecedented capability t o execute a det ailed exam ination of message
flows and aut omat ing stat istical analyses of perform ance. Analyzer significantly accelerates
the rollout, troubleshooting and optim ization of the UMTS network. Actix has embedded
intelligence in the software to allow the RF engineer to visualize specific events and
understand real problems occurring in the network.
Analyzer em bodies our ext ensive experience as the mark et leader in opt imization solutions
for CDMA, UMTS and GSM. All of the lessons learned and the techniques developed over a
10-y ear period have been incorporated into t hese powerful, v endor-independent solutions
for UMTS infrastructur e.
This document provides an overview of the k ey benefits, applications and features of
Analyzer. For additional inform ation, including whit e papers and other lit erature, please
refer to www.actix.com.
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Figure 2: Scanner and Drive tests analysis, Site Integration and Optimization are performed as part of
critical processes in the Initial Rollout, Immature Buildout and Mature Growth phases
Analyzer allows the user to focus on the following t asks for site integration and testing,
coverage analysis, troubleshooting and optim ization:
• Site Integration and Infrastructure Testing
• Detailed Call Sequence Analysis
• Benchm arking and Stat istical Analysis
• Radio Link Performance Troubleshooting
• Event Detection and Dr ive Test Analysis
The following sections describe the high-level capabilities of Analyzer for each of these
applications. Because Analyzer is based on an open architecture platform—which includes
Benchmarking
R&D / Tr ials& Planning
I nitialRollout
I mma t ur eBuildout
MatureGrowth
Scanner a nd
Drive TestsAnalysis
EventDetections
ServiceCoverageAvailability
Site CalibrationI nitial Testing
Throughputand RatesCalculation
I nitial CoverageAnalysis
Processes
Phases
Tasks
Subscriber-PerceivedPerformance
Radio LinkPerformance
On-goingOptimization
NetworkGrowth
PowerMeasurements
Site I ntegrat ionand
Optimization
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user-definable query and open data import capabilities—it m ay be used for many ad-hoc
troubleshooting and perform ance analysis tasks beyond t hose covered in this document.
2.1 Site I ntegrat ion and Infrastructure Testing
Part of the process in rolling out a network is to be able to test and int egrate new sites.Analyzer provides the following features for site integration and infrastructure testing:
• The file sum mary report allows the engineer to h ave a quick look at th e overall
performance during the entire drive test.
• Embedded charts and graphs help to visualize key parameters like Ec/No or RSCP
in the active set.
• Detailed reports on call statistics on cell by cell basis
• User-definable queries allow creation of customized statist ical analysis
• Automated report generation containing statistical summaries of key performance
indicator
Figure 3: Charts and graphs for UMTS site integrat ion and infrastruct ure testing
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2.2 Detailed Call Sequence Analysis
Analyzer provides these analyses of call sequence and call setup procedures:
•
Detailed call sequence analysis on a message by message basis
• Automat ed report generation for visualization of call sequence messages
• Automated report generation – statistical summaries of call setup problems
Figure 4: Stat istical summar ies of call setup procedures and failure causes
Figure 5: Detailed call sequence analysis
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2.3 Benchm arking and Stat istical Analysis
Analyzer provides the following features for benchm arking and stat istical analysis:
• Automat ed report generation for quick v isualization of call statistics such as drop
calls, access failures, call sustainability, etc.
• Working wit h different sources of data to create homogeneous set of reports for
benchmarking
• User-defined queries allowing easy access to different statistics
Figure 6: Charts and graphs representing different call statistics
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Figure 7: Various call statistics filtered by cells
2.4 Radio Link Performance Troubleshooting
Analyzer may be used to diagnose and determine rem edial action for key radio-link
configuration problems, including:
• Distant servers
• Too many servers
• Unnecessarily large neighbor lists
• Excessive soft handoff area
Figure 8: Identify problems for UMTS radio networks by visualizing
pilot signals as lines drawn to serving cells on a map
Radio Link Performance Metrics available from Analyzer will include the following
att ributes, depending on t he specific vendor and specific source (handset or scanner):
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• Mobile Transm it Power, Mobile Receive Power, BLER
• CPICH Ec/No, Ec/I o and RSCP per scram bling code
• Chip Offset and Delay Spread per SC
• Ec/ I o, RSCP and Path loss for Nt h best SCs
• CPI CH Ec/ No and SC in Active and Monitor ed set
• Handoff State, Call ID
Figure 9: Charts and graphs for a handoff state analysis
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3 Feature Overview
3.1 Actix Analyzer
Depending on the licenses available to you, Analyzer is able to analyze cdma2000, GSM,GPRS and EDGE, as well as UMTS data. Analyzer provides a core set of capabilities to
analyze network performance data:
• Interfaces to a large number of network performance data sources
• Support for a wide variety of wireless protocols from the air-interface to the core
network
• Filtering and binning module
• Finite stat e event det ection engine
• Time-series and multi-dimensional statistical query module
• Data merging and synchronization / correlation module
• Mapping, charting, and reporting m odules
• Messaging and protocol stack browsers
• Network element database
• Open data import and export module
Analyzer’s flexibility allows it to be configured for a wide range of net work perfor mance-
data analysis tasks.
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3.2 Application Layers
Application Layers can be added to Analyzer t o im plement task or application specific
functionality. Analyzer includes the following application layers:
UMTS Accelerat ed Net w ork Rollout Solution
• Neighbor List Analysis Module
• Handoff State Analysis Module
• CPICH Pollution Module
• Emulated Active Set Module
UMTS CPI CH Level Analysis
• CPICH before RRC Connection Request Module
• CPICH before call end or drop Module
• CPICH during call Module
• CPICH after call end or drop Module
UMTS Call Setup Analysis
• Call Setup Status Module
• Call Sequence Analysis Module
UMTS Call Statistics
• Call Statistics Module
• Call Statist ics PS Module
• Call Sustainability Module
• Call Timing Analysis Module
UMTS Drive Test Summary
• File Summ ary Module
• Coverage Summ ary Module
UMTS Handoff Analysis
• Handoff Breakdown Analysis Module
• SHO per event 1a-1b- 1c Module
UMTS Quality Analysis
• Overall BLER Module
• BLER Per call Module
• BLER during SHO Module
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3.2 .1 Neighbor List Analysis Module
The Neighbor List Analysis provides an automat ed approach for generating optim al
neighbor lists and overcoming m ajor service-degrading problems such as missing
neighbors.
The key components of the neighbor- list analysis module are:
Generation of recommendat ions for optim al neighbor list sett ings based on UMTS/WCDMA
scanner drive test data.
Integration with Network Element Database to audit existing neighbor lists and suggest
changes, and t o correlate non-unique m easured data at tribut es such as Scrambling Code
with unique identifiers such as Sector I D.
The Neighbor List Module implements t he following algorithm:
Ec/I o measurement s below a noise floor are filtered out of the data set before analysis.
User definable binning is used to reduce the num ber of m easurement s points in each bin to
create one value per bin – opt ionally, no binning at all can be applied and the analysis will
run on the full data set.
At each point along th e drive t est, a list of prospective neighbors is accumulated asindicated in Figure 19. I f a neighbor signal is within a user-definable threshold of the best
server in the active set, t hen it is considered as a potential neighbor.
Using t he geographic inform ation in t he log file and t he SC, t he network element dat abase
is searched to identify the Sector and Cell I Ds of the SC.
A symmetrical neighbor array is created in memory which records the number of times
each sector I D is seen as a prospective neighbor of another sector I D as shown in Table 1.
Once all bins in t he log file have been compiled into t he symm etrical matr ix, t he results
are compared against actual neighbor lists contained in the netw ork element database and
the following are calculated:
• a list of sector IDs included in the matrix, but not the actual neighbor list
•
a list of sector IDs included in the actual list but not in the matrix
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Figure 19: Cell A is the best server by CPICH Ec/ Io. Cells B and C are wit hin a user- specified thresholdof Cell A’s Ec/Io, and so are counted as potential neighbors of A. Cell D is not within the required
threshold and so is not counted as a prospective neighbor, nor is Cell E which did not have ameasurable signal contribution at this point in the drive t est.
A B C D A N/A 10 2 15
B 10 N/A 40 0
C 2 40 N/A 12
D 15 0 12 N/A
Table 1: A sample symmetric prospective neighbor array using sector IDs A, B, C, and D
Limitat ions of t he algorithm:
Results are only produced in areas that h ave been tested, so t he test areas should be
carefully considered before removing any Sectors from the neighbor lists
Drive tests do not necessarily emulat e the radio environm ent encountered by pedestrian
and in-building users; however, walk tests and in-building tests may be included in the
analysis as desired
Results are presented in t he following application report s:
• Neighbor List Summary
Drive TestRoute
A
Best Server
B
Neighbour 1
CNeighbour 2
DNot a Neighbour
EExcluded from Analysis
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• Neighbor List Audit
• Recommended Neighbor Lists
Figure 20: A sample Recommended Neighbor Lists report
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3.2.2 CPICH Pollution Analysis Module
The CPICH or Pilot Pollution Analysis uses an emulated Active Set to estimate which pilots
would have been actively demodulated by the UE, and th en detects other pilots above a
user-definable threshold that cause excessive interference. Please see the Emulated Active
Set Module section for more details on how the Active Set is estimated based on WCDMA
scanner measurements.
The pilot pollution algorithm has these components:
• Ec/Io measurements below a noise floor are filtered out of the data set prior to
analysis.
• User definable binning is used to reduce the num ber of m easurement s points in
each bin t o create one value per bin – optionally, no binning at all can be applied
and the analysis will run on t he full data set.
• At each point along the drive t est, CPI CH Ec/I o data f or each Scrambling Code is
used to assign SCs to an Active Set or a Pollution Set (please see the Emulated
Active Set Module section for m ore details).
• The Pollution Set consists of all SCs that are not in the Active Set, and have aCPICH Ec/Io within a user specified pollution threshold of the strongest CPICH
Ec/I o in the Active Set (see Figure 21).
• Using the geographic information in the log file and the SC, the network element
database is searched to ident ify t he Sector and Cell I Ds of t he SC.
• A pollution array is created in memory which records the number of times each
sector ID is seen as a source of pilot pollution as shown in Table 2
• All bins in t he log file are then processed into the pollution m atrix.
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Figure 21: Cell A, B and C are part of t he Active Set, as determined by the Emulated Active Set
module. Cell D has a CPICH Ec/I o wit hin a user-specified pollut ion thr eshold of the Active Set’s bestserver Ec/Io, and so is counted as a contributor to pilot pollution at this point in the drive test. Cell E
has a CPICH Ec/Io that is not within this threshold and so is not a pollution source.
Sector I D Pollution
Count
A 0
B 150
C 45
D 12
Table 2: A sample pollution array indicating the number of points at which each sector caused pilot
pollution for sector IDs A, B, C, and D
Results are presented in the Pilot Pollution Analysis application report as shown in Figure
22. In addition, Pilot Pollution may be geographically analyzed for each SC by accessing
the Pollution_for_SC att ribute in t he workspace view.
DPollution Source
A
Active Set
B
Active Set
CActive Set
Drive Test
Route ENot a Pollution Source, or inActive Set
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Figure 22: The Pilot Pollution Analysis report indicates the worst interferers sorted by Scrambling Code
3.2.3 Handoff State Analysis Module (for scanner)
The Handoff State Analysis module uses the emulated Active Set to det ermine t he handoff
state at each point along a drive t est. Statistics on handoff state m ay th en be calculated
and presented in a report form at. Excessive handoff stat e reduces capacity and increase
infrastructur e costs f or a given tr affic level. Please see the Emulated Active Set Module
section for more details on how the Active Set is estimated based on WCDMA scanner
measurements.
The handoff state algorithm has the following components:
• The Active Set of pilot s is determined using t he Emulat ed Active Set module
• Using the geographic information in the log file and the SC, the network element
database is searched to ident ify t he Sector and Cell I Ds of t he SC
• Handoff state is calculated by determ ining the configuration of t he sectors in t he
Active Set as shown in Figure 23
• All bins in t he log file are then processed into the handoff stat e mat rix
Reports showing the percentage of handoff state for each sector and for t he tot al drive test
may then be calculated as shown in Figure 24.
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Figure 23: The Handoff State Analysis examines Sector IDs involved in call at a given drive test pointand determines which of the above states applies, based on UMTS scanner data
Sin le- sect or
Softer Soft
3 - w a So ft er
3 sectorssame node B
Soft-softer
2 sectorssame node B
3-w ay soft
2 sectorssame node B
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Figure 24: A report showing the percentage of drive test in each handoff state for scanner data
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3.2.4 Emulated Active Set Module
CPICH Pollution Analysis and Handoff Analysis are both based on a calculated Active Set,
which is determined by the Emulated Active Set m odule. The Emulat ed Active Set m odule
implement s the 3GPP handoff algorithm and uses scanner Ec/I o m easurement s in
conjunction w ith user-specific 3GPP handoff t hresholds to emu late t he Active Set at each
point along a drive t est. Figure 25 shows a sample set of scanner data for t hree individual
SCs with color and v ertical lines indicating t ransitions of pilots into and out of the Active
Set.
Figure 25: Using Scanner Ec/Io measurements to implement 3GPP handoff algorithms for the Active
Set
Figure 26 shows the list of at tr ibutes available for m odification by the user, as indicated inth e 3GPP specifications:
Figure 26: Setting 3GPP handoff algorithm attributes including Reporting Range: Hysteresis Event and
Time to Trigger Event
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3.2.5 CPICH before RRC Connection Request Module
The CPICH before RRC Connection Request module helps the engineer to understand the
environment right before the call started or t o be more precise, before t he first RRC
connection r equest happens. For every call in the log file, t he report can show the
following parameters:
• Call Ident ification, based on the at tr ibute “ Uu_Call_id”
• Time of the first RRC Connection Request for a specific call
• Site the call was placed, based on the at tr ibute “ ServingCellid”
• Scrambling Code the call originated on, based on th e att ribute
“Uu_ActiveSet_SC_0”
• Ec/Io of that same Scrambling Code, based on the attribute
“Uu_ActiveSet_EcNo_0”
• RSCP of t hat sam e Scrambling Code, based on t he att ribute
“Uu_ActiveSet_RSCP_0” or the calculated RSCP if the regular RSCP values are notpresent or were not logged.
• Site, SC, Ec/ I o and RSCP of t he Monitor ed Set if app licable
• End result of t hat part icular call
For any of these parameters, the module searches 5 seconds before the first RRC
Connection Request for the specific details. If it cannot find t he parameters during t hose 5
seconds, the v alue “No Data” is shown.
Figure 27 shows a typical analysis executed by the CPICH before RRC Connection Request
module. For the engineer, it is an easy way t o look at th e conditions before the call started
and the end result.
Figure 27: Example of a log file analyzed by the CPICH before RRC Connection Request m odule
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3.2 .6 CPI CH before call end or drop Module
The CPICH before call end or drop module helps th e engineer to u nderstand t he
environment right before the call ended or dropped. For every call in the log file, the report
can show the following parameters:
• Call Ident ification, based on the at tr ibute “ Uu_Call_id”
• Time when t he call ended or dropped (see event definitions)
• Site ID of t he active site when the call ended or dropped (att ribute ServingCellid)
• Scrambling Code of t he 1 st finger in t he Active Set
• Ec/I o of th at same Scrambling Code
• RSCP of that same Scrambling Code
• Site, SC, Ec/ I o and RSCP of t he Monitor ed Set if app licable
•
End result of t hat part icular callFigure 28 shows a typical analysis executed by the CPICH before call end or drop module.
For t he engineer, it is an easy way t o look at t he conditions right before the call ended.
Figure 28: Example of a log file analyzed by the CPICH before call end or drop module
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3.2 .7 CPI CH dur ing call Module
The CPICH during call module helps the engineer t o understand t he environment during a
particular call. For every call in the log file, t he report can show t he following parameters:
• Call I dentification
• Site ID of the most common active site (site associated with the scrambling code
of the first finger in the active set)
• Most com m on Scrambling Code of 1st finger in t he Active Set
• Average Ec/I o during t he entire call
• Average RSCP during the entire call
• Site ID of the most common monitored site (site associated with the scrambling
code of the first finger in the monitored set)
• Most comm on Scrambling Code in t he Monitored Set
• Average Ec/I o during t he entire call
• Average RSCP during the entire call
• End result of t hat part icular call
Figure 29 shows a typical analysis executed by the CPICH during call module. For the
engineer, it is an easy way to look at the average conditions during the call.
Figure 29: Example of a log file analyzed by the CPICH during call module
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3.2 .8 CPI CH after call end or d rop Module
The CPICH after call end or drop module helps the engineer t o understand t he environment
right after t he call ended or dropped. For every call in the log file, t he report can show th e
following parameters:
• Call I dentification
• Time when t he call ended or dr opped
• Site ID of t he active site when the call ended or dropped
• Scrambling Code of t he 1 st finger in t he Active Set
• Ec/I o of th at same Scrambling Code
• RSCP of that same Scrambling Code
• Site, SC, Ec/ I o and RSCP of t he Monitor ed Set if app licable
•
End result of t hat part icular callFigure 30 shows a ty pical analysis executed by the CPICH after call end or drop module.
For t he engineer, it is an easy way t o look at t he conditions right after t he call ended.
Figure 30: Exam ple of a log file analyzed by the CPICH after call end or drop m odule
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3.2 .9 Call Setup Status Module
The Call Setup Status m odule offers a general overview on how and when t he call failed.
The normal call sequence should go like t his:
• RRC Connection Request (MOC)
or Paging Type1 (MTC)
• RRC Connection Setup
• RRC Connection Complete
• MM CM Service Request (MOC) or
Paging Response (MTC)
• MM CM Service Accept
• Authentication Request
• Authentication Accept
• Security Mode Comm and
• Security Mode Complete
• CC Setup
• CC Call Proceeding
• Radio Bearer Setup
• Radio Bearer Setup Complete
• CC Alert
• CC Connect
If all messages are received properly, the call is a success. If it fails to reach the CCConnect, it should be pegged as a call failure and this module should give t he reason for it.
Refer to section 3.2 Event Definitions for more details.
Figure 31 shows a typical analysis executed by t he call setup st atus m odule.
Figure 31: Example of a log file analyzed by the call setup status module
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3.2 .10 Call Sequence Analysis Module
The Call Sequence Analysis module offers a general overview on how call failed and when
they failed. This module has the same structu re and analysis as the call setup st atus
module except for a few differences. I t doesn’t sum marize as what is th e cause of the
failure. On the other h and, it giv es the call sequence with detailed inform ation on every
call and th e outcome of it . I t gives t he engineer th e possibility t o look at individual calls on
a m essage-by-m essage basis.
Figure 32: Example of a log file analyzed by the call sequence analysis module
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3.2 .11 Call Stat istics Module ( CS or PS)
The Call Statistics Module helps the engineer t o have a quick look at the ov erall
perform ance during a specific drive test. The following param eters' statistics are defined in
each file:
Total Number of calls: Number of Mobile Originated Calls (MOC) + Number of Mobile
Terminated Calls (MTC). This includes all calls, even failures.
Successful I ncomin g Calls: Num ber of successful Mobile Term inated Calls (MTC). To be
successful, a call needs to follow the call sequence as mentioned in section 3.2
Successful Outg oing Calls: Num ber of successful Mobile Originated Calls (MOC). To be
successful, a call needs to follow the call sequence as mentioned in section 3.2
Total Successful Calls:
Successful I ncoming Calls +
Successful Out going Calls
Connected Percentage: Total
Successful Calls/Total number
of calls * 100
Call Failures – In coming:
Access Failure for a Mobile
Terminated Call (MTC) as
defined in section 3. 2
Call Failures – Outgoing:
Access Failure for a Mobile
Originated Call (MOC) as
defined in section 3. 2
Access Failure Rate: Total
Access Failures/Total number
of calls * 100
Total Drops: Total number of
dropped calls. A dropped call is
defined as one of the
following:
Drop Rate percentage: Total
Drops/Total Successful Calls *
100
Total Completed Calls: Total
num ber of completed calls. A
completed call is defined as
the following:
Success Rate: Total completed
calls/Tot al Successful Calls *
100
Figure 33: Example of a log file analyzed by the
Call Statistics Module
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3.2.12 Call Sustainability Module
The call sustainability
module helps theengineer to have a
quick view at t he call
duration for all calls
during the drive route.
The statistic is
calculated on a per call
basis and is the
difference in time
when t he call ends and
when the call starts.
More precisely:
Call Sustainability =
Time when RRC
Connection request
happens (or paging
type 1) – Time when
call drops or ends.
Figure 34 shows the
call sustainability
statistics and t he call
duration distribution.
Figure 34: Examp le of a log file analyzed by thecall sustainability module
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3.2 .13 Call Timing Analysis Module
The Call Timing Analysis gives various time statistics on differences between specific
messages. In cases where the RRC Connection Request terminology is used, it relates to
the first RRC Connection Request m essage tr ansmitt ed.
Figure 35: Example of a log file analyzed by the call tim ing analysis module
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3.2.1 4 File Summ ary Module
The file summary module helps the
engineer t o visualize quickly t he
content of a file. The thr esholds for
the coverage and quality charts are:
Coverage:
Good: RSCP > -80 dBm
Fair: -80 dBm > = RSCP > = -95 dBm
Poor: -9 5 dBm > RSCP
Quality:
Good: Ec/I o > -8 dB
Fair : - 8 dB > = Ec/Io > = -15 dB
Poor: - 15 dB > Ec/I o
Figure 36: Example of a log file analyzed
by the file summary module
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3.2.1 5 Coverage Summ ary Module
The file summ ary m odule helps the engineer to visualize quickly t he statistics related to
the st rongest RSCP and t he strongest Ec/No for a particular file.
Figure 37: Example of a log file analyzed by thecoverage summary module
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3.2.16 Handoff Breakdown Analysis Module (Handset)
The Handoff State Analysis
module for handset uses the Real
Active Set from the handset to
determine the handoff state at
each point along a drive t est.
Statistics on handoff state may
then be calculated and pr esented
in a report for mat . Excessive
handoff stat e reduces capacity
and increase infrastructure costs
for a given traffic level. Please see
section 3.2.3 for more details on
the Handoff Stat e Analysis for
scanner.
The handoff state algorithm has
the following components:
Using t he geographic inform ation
in the log file and the SC, thenetwork element database is
searched to identify the Sector
and Cell IDs of the SC
Handoff state is calculated by
determining the configuration of
the sectors in t he Active Set as
shown in Figure 23 – Section
3.3.3
All bins in the log file are then
processed into th e handoff state
matr ix
The Actual SHO Overhead
represents the sum of all soft-
handoff configurations
Reports showing t he percentage
of handoff stat e for each sector
and for the total drive test m ay
then be calculated as shown in
Figure 38.
Figure 38: Example of a log file analyzed by the
handoff state analysis for handset
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3.2.1 7 SHO per event 1a-1b- 1c Module
The SHO per event 1a-1b-1c module gives a brief summary about the different types of
handoff that occur in a file. It shows quickly the number of:
Addition: Event 1a
Removal: Event 1b
Replacement : Event 1c
Also, it reports th e number of completion for each of those events and calculates a
percentage of success.
Figure 39: Example of a log file analyzed by thesoft-handover performance module
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3.2.18 Overall BLER Module
The overall BLER (Block Error
Rate) module gives a brief
summary about the
distribution and stat istical
analysis of BLER for an entire
file.
Figure 40: Example of a log file analyzed by the Overall
BLER module
3.2.19 BLER Per call Module
The BLER per call m odulegives a summary of the main
statistics associated wit h t he
BLER on a call-b y- call basis.
The maximum value
The minimum value
The average value for th at
particular call
Figure 41: Example of a log file analyzed by the BLER percall module
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3.2.20 BLER during SHO Module
The BLER during SHO (soft handover) m odule provides stat istics on the downlink t ransport
channel BLER aggregated across all SHOs and on a call-by-call basis (note that only the
calls wit h BLER measurements dur ing t he SHO procedure will be included in t his report.
Figure 42: Example of a log file analyzed by theBLER during SHO module
3.3 Filters
Filters can be added to Analyzer to im plement t ask or application- specific functionality.
Analyzer includes the following pre- defined filters:
• Poor Mobile Receive Power
CPI CH_RSCP_in_ActiveSet[ 0] < -95 dBm
• High Mobile Transmit Power
UeTransmit tedPower > 0 dBm
• Low Mobile Transmit Power
UeTransmit tedPower < -30 dBm
• High Mobile Receive Power
CPI CH_RSCP_in_ActiveSet[ 0] > -80 dBm
• Poor Ec/No
CPI CH_EcNo_in_ActiveSet[ 0] < -15 dB
• High Ec/No
CPI CH_EcNo_in_ActiveSet[ 0] > -8 dB
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3.4 Stateforms
Stateform s can be added to Analyzer to implem ent t ask or application-specific
functionality. Analyzer includes the following stateforms:
• UMTS Data Event
• Navigator
• UMTS Data Session
• UMTS Throughput
• UMTS Top 10 Scan
Measurements
• UMTS UE Active + Monitor ed Set
• UMTS UE Call Information
• UMTS UE Measurem ents Charts
• UMTS UE Radio Parameters
• UMTS UE Transport Channel Info
• UMTS Voice
• Event Navigator
3.4 .1 UMTS Data Event Navigat or
The UMTS Data Event Navigator stateform allows the engineer t o view th e entire drive t est
with just one quick look. During a data session, it is possible to keep tr ack of the following
events:
• GPRS_PDPContextAct_Successful
• GPRS_PDPContextDeact_Successful
• GPRS_Attach_Successful
• GPRS_Detach_Successful
• GPRS_PDPContextAct_Failure
• GPRS_RAU_Successful
• Event_Task_Start
While keeping tr ack of the current SC in the active set. Figure 42 shows an example of
those different events at different m oments in time w ith t he track at t he top showing the
SC.
Figure 43: Example of a log file analyzed by the
UMTS Data Event Navigator Stateform
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3.4.2 UMTS Data Session
The UMTS Data Session stateform allows the engineer to view the dat a testing inf ormat ion
collected during a data session.
Figure 44: Example of a log file analyzed by the
UMTS Data Session Stat eform
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3.4 .3 UMTS Throughput
The UMTS Throughput stateform chart allows the engineer t o view t he application and I P
downlink throughput graphically for the entire drive test. This information comes from the
data testing information collected during the drive test.
Figure 45: Example of a log file analyzed by theUMTS Throughput Stateform
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3.4 .4 UMTS Top 10 Scan Measurem ents
The UMTS Top 10 Scan Measurements stat eform allows the engineer to v iew import ant
details regarding the scanner measurement s. The following param eters are displayed at
any specific moment during the drive test replay:
• Top 10 Scrambling Code based on t heir Ec/ Io
• Top 10 Ec/Io for these respective SC
• Top 10 RSCP for th ese respective SC
• Global RSSI
Figure 46: Example of a log file analyzed by the
UMTS Top 10 Scan Measurements Stat eform
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3.4 .5 UMTS UE Activ e + Monitored Set
The UMTS UE Active + Monitored Set stateform allows t he engineer to visualize rapidly the
content of the active and monitored sets at any specific moment during the drive test. The
following parameters are represented for both the active and the monitored sets.
• The Scrambling Code
• The Ec/No for each of those scrambling code
• The RSCP for each of those scrambling code
• The Path loss if applicable
It is a very quick way for the engineer to follow the active and monitored sets. Using the
replay tool, t he engineer can follow the driv e test and analyze very quickly any particular
events.
Figure 47: Example of a log file analyzed by theUMTS UE Active + Monitored Set Stat eform
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3.4 .6 UMTS UE Call I nform ation
The UMTS UE call information st ateform allows the engineer t o have a quick view at t he
following events:
• IMSI – Mobile’s Identification
number used for testing
• Called Party – Number called for
that particular test/call
• Calling Party – I n case of mobile
terminated calls, the number of
the party that called
• Call id – The call identification
based on the UMTS call tracker
• Call State – The state t he m obile
is on. Different states are:
• In i t
• Idle
• RRC Con Request
• RRC Con Setup
• RRC Setup Complete
• Outgoing Call Setup
• Incom ing Call Setup
• Paging
• I n Call
• Security Mode Comm and
• Security Com plete
• CC Setup
• Authentication Request
• Authentication Response
• CC Call Proceeding
• RAB Setup
• RAB Complet e
• Channel Reconfig
• Radio Bearer Reconfig
• GSM Mode
• LAC
• RAC
Figure 48: Example of a log file analyzed by theUMTS UE Call Information Stateform
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3.4.7 UMTS UE Measurements Charts
The UMTS UE Measurements Charts stateform allows the engineer to look at t he most
important information in a log file. It is very easy to visualize rapidly the following
parameters:
• EcNo – Uu_ActiveSet_ EcNo
• RSSI – UTRA_UE_CarrierRSSI
• TxPower – UE_TxPow
• SIR – Uu_SIR
• SIR_Target – Uu_TargetSIR
Figure 49: Example of a log file analyzed by the
UMTS UE Measurements Charts Stateform
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3.4.8 UMTS UE Radio Param eter s
The UMTS UE Radio Parameters stateform allows the engineer to view radio parameters at
a specific mom ent during t he drive test. The available parameters are:
• TxPower
• RSSI
• SIR
• SIR Target
• UTRA_ARFCN_DL
Figure 50: Example of a log file analyzed by theUMTS UE Radio Parameters Stateform
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3.4 .9 UMTS UE Transport Channel I nfo
The UMTS UE Transport Channel Info allows the engineer to visualize the BLER per channel
and also the aggregate BLER.
Figure 51: Example of a log file analyzed by theUMTS UE Transport Channel I nfo Statefor m
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3.4 .10 UMTS Voice Event Navigator (CS Only)
The UMTS Voice Event Navigator stateform allows the engineer to view the ent ire drive
test w ith j ust one quick look. During a session, it is possible to k eep track of th e following
events:
• Uu_OutgoingCallOK
• Uu_IncomingCallOK
• Uu_OutgoingCallSetupFail
• Uu_IncomingCallSetupFail
• Uu_CallDropped
• Uu_CallCompleted
While keeping tr ack of the current SC in th e active set. Figure 51 shows an example of
those different events at different moments in time with the colored track at the top
showing t he SC.
Figure 52: Example of a log file analyzed by the UMTS Voice Event Navigator Stateform
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