SlideShare a Scribd company logo
Workspace
 After installing TEMS and opening the Data
collection window we need to create a
workspace so, that we can save the windows
for 3G drive test, saving us from tedious work
of opening it every time we want to collect
drive data.
 We need to open a new worksheet for the
same and the procedure has been shown in
the following slide.
Workspace
Worksheet
 Once we have opened a new worksheet, we
will start with a map which shows us our
current location and also guides us the area
and the roads we need to cover with the help
of GPS.
 It also displays all our Node B’s.
Map Window
 Select presentation on the information bar.
 Go to positioning and select map.
Cellfile Load
 To see the NodeBs installed in the operator’s
network we need to add the cellfile to our Map.
Following are the steps for same –
 Go to configuration on the tools bar.
 Select General.
 Select Cellfile Load.
 Go to ADD and select the required cellfile.
Following slide shows the same-
Loading Cellfile
Select
General
Cellfile Load
Vectors
Open Map
Layer Control
Vectors
 In the above snapshot select the second icon
from left which shows “open map” and browse
for vectors.
 Select the vectors and put them on the map to
show the roads highways, railways etc.
 We can also remove and add things by going
to “Layer control” option on top of the map
toolbar.
Workspace
 Now we will see various windows we need to open for
3G drive test.
 3G stands for 3rd Generation.
 In technical terms it is also known as WCDMA
 WCDMA – Wide Band Code Division Multiple Access.
 It is called WCDMA because it uses code division
multiple access on a large bandwidth of 5MHz.
 This 5MHz frequency is further divided into 512
Scrambling codes.
 Before going into further details lets see the windows we
need to open for drive test -
Serving/Active Set + Neighbors
Layer 3 Messages
Radio Parameters
WCDMA HSPA/GSM Data Line
Chart
GSM Neighbors
 We can see a lot of aspects of 3G with the use
of the windows we have opened for data
colletion.
Serving/Active Set + Neighbors
 This window contains a lot of aspects of 3G
and has a lot to be explained –
 Cell I.D – This is the identity or name given to
a particular Node B and its cell by the
operator.
 UARFCN – It is the frequency band allotted to
the operator. One spectrum bandwidth is of
5MHz in WCDMA or 3G.This window shows
us the centre frequency of the bandwidth
allotted to the operator.
Serving/Active Set + Neighbors
 Cell Name – It is the name given to particular
Node B’s by the operator generally along the
lines of the name of the area the Node B is
located in.
 Scrambling Code – Scrambling code is a
code assigned to a particular cell. There are
512 such codes for the network to differentiate
among different Node B’s and these codes can
be repetitive. They are of two types primary
and secondary.
Serving/Active Set + Neighbors
 AS – This stands for Active Set. Active Set is
the set of Scrambling Code which the U.E is
currently latched on and there can be a
maximum of 6 Scrambling codes in Active Set.
 MN – MN Stands for monitored neighbor i.e
the neighbor cell that is detected by the U.E as
a neighbor and is also defined as a neighbor in
the network. U.E will initiate a Handover onto
the monitored neighbor in case the monitored
neighbor has a stronger Rx level than the AS.
Serving/Active Set + Neighbors
 DN - DN stands for Detected Neighbor and as
the name suggests it is the neighbor detected
by the UE but, is not defined in our network .
Hence, the U.E does not handover to the
detected neighbor. It can be because of
Overshooting of a site, incomplete neighbor
list or in case of a new site. It is very important
to optimize and have no DN’s as they are one
of the major reasons of Call drops in 3G.
Radio Parameters
 CPICH Ec/No – Common Pilot channel Ec/No
is the ratio of energy of the chip and the
combined power of all the signals including the
pilot itself received by the UE at that particular
point. It is a very important factor for call
quality.
 CPICH RSCP – Received Signal Code Power
is the level of the signal received by the U.E
from a particular pilot.
Radio Parameters
Radio parameters are the parameters of a Mobile
equipment –
Tx Power – As the name suggests it is the
transmitting power of a Mobile Station. Its value
can vary from
-50 to 50. The minimum the Tx power of the Mobile
station the better it is for call quality.
UTRA Carrier RSSI - It is the Received Signal
Strength Indicator of the Mobile Station or the
U.E. It tells us the total Power Received by the
Mobile Station from all the Pilots including itself at
that particular location.
Radio Parameters
 SIR – It is the signal to interference Ratio is
the ratio of Energy in the DPCC(Dedicated
Physical Control Channel) to that of the
interference and noise received by the U.E.
 Target SIR – It is the target Signal to
Interference ratio that Mobile Equipment is
supposed to achieve by increasing or
decreasing its power. It is set by the use of
Power Control procedure.
Radio Parameters
 SQI - It is the speech Quality Index which is a
parameter to rate the voice Quality on that
particular call. It ranges from 0 – 30 with 30
being the best quality.
 RRC State – It tells the current state and
channel as in Idle or dedicated.
 Mode – It is the mode that we are using GSM
or WCDMA.
Layer 3 Messages
 Layer 3 Messages are the messages on the
Uu interface i.e between Mobile station and
the Node B.
GSM Neighbors
 This window is very helpful in case of 2G – 3G
Handovers as we can see all the 2G neighbors
of that particular 3G cell in the compressed
mode state which would be explained later on.
HSPA/GSM Line Chart
 This window gives us the data speed for both
3G and 2G modes depending on which mode
the mobile equipment is.
 RLC DL Throughput – This is the total
throughput on the downlink at that particular
point.
 The speed shown in this window as
throughput is in Kilobits/sec.
Active Window
Handovers
In UMTS there are the following type of Handovers-
Intra Frequency Handovers-
 Softer Handover – The HO’s that take place
between any sectors of the same node B come
under this category.
 Soft Handover – The HO’s that take place
between different Node Bs running on same
frequency are called soft HOs.
Inter Frequency Handover-
 Hard Handover – The HO’s that take place
between Node Bs running on different
frequencies. HOs from 2G-3G fall under this
category.
Active Set Update
 In 3G there can be six pilots in the active set. But, we
generally set it at maximum of three(depends on the
operator) to avoid Pilot pollution. In case of soft
Handover all the cells which are in MN can be entered
into Active set but, only till the maximum limit of three.
This procedure of soft HO from monitored to Active set
is called Active set update.
Active Set Update(Soft HO)
Monitored Neighbor
Current Location
Active Set Update(Soft HO)
Current Location
Added to Active Set
Active Set
Update

More Related Content

What's hot

Hw lte rf-optimization-guide
Hw lte rf-optimization-guideHw lte rf-optimization-guide
Hw lte rf-optimization-guide
tharinduwije
 
Dt parameters
Dt parametersDt parameters
Dt parameterssangwa85
 
2G optimization_with_optima
2G optimization_with_optima2G optimization_with_optima
2G optimization_with_optima
ZIZI Yahia
 
Interview question for 2g,3g,4g
Interview question for 2g,3g,4gInterview question for 2g,3g,4g
Interview question for 2g,3g,4g
Vijay Anand
 
Drive testing in mobile networks
Drive testing in mobile networksDrive testing in mobile networks
Drive testing in mobile networks
Naveen Jakhar, I.T.S
 
3G drive test procedure (SSV) by Md Joynal Abaden
3G drive test procedure (SSV)  by Md Joynal Abaden3G drive test procedure (SSV)  by Md Joynal Abaden
3G drive test procedure (SSV) by Md Joynal Abaden
Md Joynal Abaden
 
RSCP RSSI EC/NO CQI
RSCP RSSI EC/NO CQIRSCP RSSI EC/NO CQI
RSCP RSSI EC/NO CQI
Faraz Husain
 
Lte basic parameters
Lte basic parametersLte basic parameters
Lte basic parameters
Linh Phạm
 
Drive test final
Drive test  finalDrive test  final
Drive test final
Yaser Al-Abdali
 
Basic of gsm by pawan
Basic of gsm by pawanBasic of gsm by pawan
Basic of gsm by pawan
Pawan Kumar
 
wcdma-drive-test-analysis-ppt-libre
wcdma-drive-test-analysis-ppt-librewcdma-drive-test-analysis-ppt-libre
wcdma-drive-test-analysis-ppt-libre
Narcisse FOIDIENG
 
Layer 3 messages
Layer 3 messagesLayer 3 messages
Layer 3 messages
John Samir
 
Channel element
Channel elementChannel element
Channel element
Syed Zahid Shah
 
40234553 drive-test
40234553 drive-test40234553 drive-test
40234553 drive-test
محمد مشعل
 
Drive Test Nemo
Drive Test NemoDrive Test Nemo
Drive Test Nemo
toha ardi nugraha
 
Ericsson optimization opti
Ericsson optimization optiEricsson optimization opti
Ericsson optimization opti
Terra Sacrifice
 
Rf optimization
Rf optimizationRf optimization
Rf optimization
Tempus Telcosys
 

What's hot (20)

Hw lte rf-optimization-guide
Hw lte rf-optimization-guideHw lte rf-optimization-guide
Hw lte rf-optimization-guide
 
08. DRIVE TEST Analysis
08. DRIVE TEST Analysis08. DRIVE TEST Analysis
08. DRIVE TEST Analysis
 
Dt parameters
Dt parametersDt parameters
Dt parameters
 
2G optimization_with_optima
2G optimization_with_optima2G optimization_with_optima
2G optimization_with_optima
 
Interview question for 2g,3g,4g
Interview question for 2g,3g,4gInterview question for 2g,3g,4g
Interview question for 2g,3g,4g
 
Drive testing in mobile networks
Drive testing in mobile networksDrive testing in mobile networks
Drive testing in mobile networks
 
3G drive test procedure (SSV) by Md Joynal Abaden
3G drive test procedure (SSV)  by Md Joynal Abaden3G drive test procedure (SSV)  by Md Joynal Abaden
3G drive test procedure (SSV) by Md Joynal Abaden
 
RSCP RSSI EC/NO CQI
RSCP RSSI EC/NO CQIRSCP RSSI EC/NO CQI
RSCP RSSI EC/NO CQI
 
Lte basic parameters
Lte basic parametersLte basic parameters
Lte basic parameters
 
Drive test final
Drive test  finalDrive test  final
Drive test final
 
Basic of gsm by pawan
Basic of gsm by pawanBasic of gsm by pawan
Basic of gsm by pawan
 
wcdma-drive-test-analysis-ppt-libre
wcdma-drive-test-analysis-ppt-librewcdma-drive-test-analysis-ppt-libre
wcdma-drive-test-analysis-ppt-libre
 
Drive test learning
Drive test learningDrive test learning
Drive test learning
 
Layer 3 messages
Layer 3 messagesLayer 3 messages
Layer 3 messages
 
Channel element
Channel elementChannel element
Channel element
 
Sdcch
SdcchSdcch
Sdcch
 
40234553 drive-test
40234553 drive-test40234553 drive-test
40234553 drive-test
 
Drive Test Nemo
Drive Test NemoDrive Test Nemo
Drive Test Nemo
 
Ericsson optimization opti
Ericsson optimization optiEricsson optimization opti
Ericsson optimization opti
 
Rf optimization
Rf optimizationRf optimization
Rf optimization
 

Similar to 3 g drive-test

Drive test using tems investation 16.1
Drive test using tems investation 16.1Drive test using tems investation 16.1
Drive test using tems investation 16.1
Md Joynal Abaden
 
Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16Md Joynal Abaden
 
3 g drive test
3 g drive test3 g drive test
3 g drive test
Faisal Ehsaan
 
2 g dt and mapinfo
2 g dt and mapinfo2 g dt and mapinfo
2 g dt and mapinfo
mohammad ali amini
 
Drive Test and Optimization Tutorial - I.pdf
Drive Test and Optimization Tutorial - I.pdfDrive Test and Optimization Tutorial - I.pdf
Drive Test and Optimization Tutorial - I.pdf
hamdi_saif
 
Inter system-cell-reselection-optimization-in-umts
Inter system-cell-reselection-optimization-in-umtsInter system-cell-reselection-optimization-in-umts
Inter system-cell-reselection-optimization-in-umts
phinguyen150
 
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSISTELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
IslamBarakat18
 
Fyp Presentation
Fyp PresentationFyp Presentation
Fyp Presentation
Arsalan Mir
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And Optimization
Yasir Azmat
 
DC-HSPA and Carrier Aggregation
DC-HSPA and Carrier AggregationDC-HSPA and Carrier Aggregation
DC-HSPA and Carrier Aggregation
Yasser Monier
 
Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24
Jose Asuncion Silva Vasquez
 
Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24
Jose Asuncion Silva Vasquez
 
Drive test golden rules
Drive test golden rulesDrive test golden rules
Drive test golden rulesFidele Castro
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts network
Thananan numatti
 
Q & A for 3G Optimization
Q & A for 3G Optimization Q & A for 3G Optimization
Q & A for 3G Optimization
l3p15
 

Similar to 3 g drive-test (20)

Drive test using tems investation 16.1
Drive test using tems investation 16.1Drive test using tems investation 16.1
Drive test using tems investation 16.1
 
Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16Drive Test Using Tems Investation 16
Drive Test Using Tems Investation 16
 
3 g drive test
3 g drive test3 g drive test
3 g drive test
 
2 g dt and mapinfo
2 g dt and mapinfo2 g dt and mapinfo
2 g dt and mapinfo
 
Drive Test and Optimization Tutorial - I.pdf
Drive Test and Optimization Tutorial - I.pdfDrive Test and Optimization Tutorial - I.pdf
Drive Test and Optimization Tutorial - I.pdf
 
Inter system-cell-reselection-optimization-in-umts
Inter system-cell-reselection-optimization-in-umtsInter system-cell-reselection-optimization-in-umts
Inter system-cell-reselection-optimization-in-umts
 
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSISTELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
TELECOM OPTIMIZATION AND DRIVE TEST ANALYSIS
 
Fyp Presentation
Fyp PresentationFyp Presentation
Fyp Presentation
 
Wide band cdma
Wide band cdmaWide band cdma
Wide band cdma
 
Lte drive test parameters
Lte drive test parametersLte drive test parameters
Lte drive test parameters
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And Optimization
 
20786641 lte-whitepaper
20786641 lte-whitepaper20786641 lte-whitepaper
20786641 lte-whitepaper
 
DC-HSPA and Carrier Aggregation
DC-HSPA and Carrier AggregationDC-HSPA and Carrier Aggregation
DC-HSPA and Carrier Aggregation
 
Umts Final
Umts FinalUmts Final
Umts Final
 
Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24
 
Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24Wcdma p&o-c-en-wireless technology-2-201006-24
Wcdma p&o-c-en-wireless technology-2-201006-24
 
Drive test golden rules
Drive test golden rulesDrive test golden rules
Drive test golden rules
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts network
 
Q & A for 3G Optimization
Q & A for 3G Optimization Q & A for 3G Optimization
Q & A for 3G Optimization
 
3 G Interview
3 G Interview3 G Interview
3 G Interview
 

Recently uploaded

"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 

Recently uploaded (20)

"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 

3 g drive-test

  • 1. Workspace  After installing TEMS and opening the Data collection window we need to create a workspace so, that we can save the windows for 3G drive test, saving us from tedious work of opening it every time we want to collect drive data.  We need to open a new worksheet for the same and the procedure has been shown in the following slide.
  • 3. Worksheet  Once we have opened a new worksheet, we will start with a map which shows us our current location and also guides us the area and the roads we need to cover with the help of GPS.  It also displays all our Node B’s.
  • 4. Map Window  Select presentation on the information bar.  Go to positioning and select map.
  • 5. Cellfile Load  To see the NodeBs installed in the operator’s network we need to add the cellfile to our Map. Following are the steps for same –  Go to configuration on the tools bar.  Select General.  Select Cellfile Load.  Go to ADD and select the required cellfile. Following slide shows the same-
  • 8. Vectors  In the above snapshot select the second icon from left which shows “open map” and browse for vectors.  Select the vectors and put them on the map to show the roads highways, railways etc.  We can also remove and add things by going to “Layer control” option on top of the map toolbar.
  • 9. Workspace  Now we will see various windows we need to open for 3G drive test.  3G stands for 3rd Generation.  In technical terms it is also known as WCDMA  WCDMA – Wide Band Code Division Multiple Access.  It is called WCDMA because it uses code division multiple access on a large bandwidth of 5MHz.  This 5MHz frequency is further divided into 512 Scrambling codes.  Before going into further details lets see the windows we need to open for drive test -
  • 10. Serving/Active Set + Neighbors
  • 13. WCDMA HSPA/GSM Data Line Chart
  • 15.  We can see a lot of aspects of 3G with the use of the windows we have opened for data colletion.
  • 16. Serving/Active Set + Neighbors  This window contains a lot of aspects of 3G and has a lot to be explained –  Cell I.D – This is the identity or name given to a particular Node B and its cell by the operator.  UARFCN – It is the frequency band allotted to the operator. One spectrum bandwidth is of 5MHz in WCDMA or 3G.This window shows us the centre frequency of the bandwidth allotted to the operator.
  • 17. Serving/Active Set + Neighbors  Cell Name – It is the name given to particular Node B’s by the operator generally along the lines of the name of the area the Node B is located in.  Scrambling Code – Scrambling code is a code assigned to a particular cell. There are 512 such codes for the network to differentiate among different Node B’s and these codes can be repetitive. They are of two types primary and secondary.
  • 18. Serving/Active Set + Neighbors  AS – This stands for Active Set. Active Set is the set of Scrambling Code which the U.E is currently latched on and there can be a maximum of 6 Scrambling codes in Active Set.  MN – MN Stands for monitored neighbor i.e the neighbor cell that is detected by the U.E as a neighbor and is also defined as a neighbor in the network. U.E will initiate a Handover onto the monitored neighbor in case the monitored neighbor has a stronger Rx level than the AS.
  • 19. Serving/Active Set + Neighbors  DN - DN stands for Detected Neighbor and as the name suggests it is the neighbor detected by the UE but, is not defined in our network . Hence, the U.E does not handover to the detected neighbor. It can be because of Overshooting of a site, incomplete neighbor list or in case of a new site. It is very important to optimize and have no DN’s as they are one of the major reasons of Call drops in 3G.
  • 20. Radio Parameters  CPICH Ec/No – Common Pilot channel Ec/No is the ratio of energy of the chip and the combined power of all the signals including the pilot itself received by the UE at that particular point. It is a very important factor for call quality.  CPICH RSCP – Received Signal Code Power is the level of the signal received by the U.E from a particular pilot.
  • 21. Radio Parameters Radio parameters are the parameters of a Mobile equipment – Tx Power – As the name suggests it is the transmitting power of a Mobile Station. Its value can vary from -50 to 50. The minimum the Tx power of the Mobile station the better it is for call quality. UTRA Carrier RSSI - It is the Received Signal Strength Indicator of the Mobile Station or the U.E. It tells us the total Power Received by the Mobile Station from all the Pilots including itself at that particular location.
  • 22. Radio Parameters  SIR – It is the signal to interference Ratio is the ratio of Energy in the DPCC(Dedicated Physical Control Channel) to that of the interference and noise received by the U.E.  Target SIR – It is the target Signal to Interference ratio that Mobile Equipment is supposed to achieve by increasing or decreasing its power. It is set by the use of Power Control procedure.
  • 23. Radio Parameters  SQI - It is the speech Quality Index which is a parameter to rate the voice Quality on that particular call. It ranges from 0 – 30 with 30 being the best quality.  RRC State – It tells the current state and channel as in Idle or dedicated.  Mode – It is the mode that we are using GSM or WCDMA.
  • 24. Layer 3 Messages  Layer 3 Messages are the messages on the Uu interface i.e between Mobile station and the Node B.
  • 25. GSM Neighbors  This window is very helpful in case of 2G – 3G Handovers as we can see all the 2G neighbors of that particular 3G cell in the compressed mode state which would be explained later on.
  • 26. HSPA/GSM Line Chart  This window gives us the data speed for both 3G and 2G modes depending on which mode the mobile equipment is.  RLC DL Throughput – This is the total throughput on the downlink at that particular point.  The speed shown in this window as throughput is in Kilobits/sec.
  • 28. Handovers In UMTS there are the following type of Handovers- Intra Frequency Handovers-  Softer Handover – The HO’s that take place between any sectors of the same node B come under this category.  Soft Handover – The HO’s that take place between different Node Bs running on same frequency are called soft HOs. Inter Frequency Handover-  Hard Handover – The HO’s that take place between Node Bs running on different frequencies. HOs from 2G-3G fall under this category.
  • 29. Active Set Update  In 3G there can be six pilots in the active set. But, we generally set it at maximum of three(depends on the operator) to avoid Pilot pollution. In case of soft Handover all the cells which are in MN can be entered into Active set but, only till the maximum limit of three. This procedure of soft HO from monitored to Active set is called Active set update.
  • 30. Active Set Update(Soft HO) Monitored Neighbor Current Location
  • 31. Active Set Update(Soft HO) Current Location Added to Active Set Active Set Update