7-zte wcdma radio network optimization introduction 101

7/28/2019 7-ZTE WCDMA Radio Network Optimization Introduction 101

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ZTE WCDMA Radio Network Optimization

Introduction

ZTE University

TD&W&PCS BSS Course Team



Contents

Basic knowledge on WCDMA radio

network optimization

WCDMA radio network

optimization process and

technology

WCDMA radio network

optimization software



Basic knowledge on WCDMA radio network

optimization

Let’s start from the following aspects to understand

network optimization:

What is network optimization?

Service concept of network planning and optimization

Reasons for network optimization

Types of network optimization

Basic knowledge on WCDMA radio network optimization



What is Network Optimization?

Radio network optimization refers to a rational adjustment

process on radio communication network planning and

design by means of various optimization measures.

Via optimization, network coverage can be improved,

network capacity can be expanded, network QoS and

network resource utilization enhanced, so that networks

will be running more reliably and more economically.




Cause of Network Optimization

The network quality cannot meet the planning design

requirements. This generally occurs during the early stage of

network construction, in which the network coverage and

interference may not reach the requirement standard.

The network environment has changed. For example, the

increase of voice and data subscribers results in the

deterioration of network performance; the actual environment of

the city has changed, which deteriorates the network coverage

in some areas. When the change of the network environment

makes the original designed network unable to meet the

requirements of the current environment, the network need be

optimized and adjusted and suggests for subsequent network

capacity expansion shall be put forward.




Types of Network Optimization

In different stages of UMTS network construction, the

objectives of network optimization are also different from

each other.

Depending on the time segment, work objectives and

work content of its implementation, optimization can be

divided into Engineering Optimization and

operation/maintenance optimization .




Classification of Network Optimization

Engineering optimization

Engineering optimization refers to the network optimization

conducted after the completion of network construction and before

the number allocation. Its major purpose to enable the network to

work normally and ensure that the network can fulfill the planned

coverage and interference objectives.

The major work contents of Engineering Optimization include:

Eliminating the hardware fault of the system

Checking whether the cell configuration is consistent with the planned

objective of the network (Longitude, Latitude, Azimuth, Down tilt,

Connection, Lac, RAC, CI, antenna height, etc )

Making the coverage and interference reach a satisfactory level




Classification of Network Optimization

Operation and maintenance optimization

Operation and Maintenance (O&M) optimization indicates to

improve the network quality and customer’s degree of

satisfaction through optimization during the operation of the

network.

It includes three parts of contents:

Routine maintenance

Stage optimization

Network operation analysis




Engineering Optimization

At different stages of UMTS network construction, the

objectives of network optimization are also different. .

The objectives of (Pre-launch) Engineering Optimization

include:

Enabling the network to work normally

Issues deserving attention: coverage function and

interference





Eliminate the hardware fault of the system:

It is very important to eliminate any hardware fault from the

system.

Generally hardware faults are eliminated according to the

division of base station cluster.

The elimination of hardware faults is the responsibility of the

equipment supplier.

However, it is also very important for the operator to

understand the process of hardware fault elimination and

obtain the ability for checking the equipment.





Check the cell configuration:

Whether the site is in the correct position

Whether the type of the antenna is correct

Whether the installation height, direction angle and

downward tilt angle are all deployed according to the

planned solution

Whether the type of the feeder is correct and whether itslength is appropriate

Whether parameters (such as common channel power) of

the cell are consistent with the planned parameters.





Objectives for coverage and interference optimization

Typical threshold:

The intensity of the pilot received in 95% of the coverage

area is greater than -89dBm (in dense urban areas) or -

94dBm (in general urban area).

The pilot Ec/Io measured in 95% of the coverage area is

greater than -10dB.





Steps for improving the coverage:

Conduct drive test and collect the drive test data.

Analyze the drive test data to determine the holes of the

coverage.

Assess the seriousness of the coverage holes and order

them according to the priority.

Solve the coverage problems according to the priority till theobjective of the coverage optimization is fulfilled.





Steps for improving the interference:

Determine the areas where the pilot Ec/Io is lower than the

threshold.

Check the pilot level in these areas (which may have more than 3

pilots).

From the pilots received in these areas, find the pilots unexpected

(these pilots come from the cells that are not designed to provide

coverage for these areas). Reduce the intensity of these “unexpected” pilots (generally by

increasing the downward tilt). Pay attention to the influence

resulting therefrom on the coverage within the service range of the

cell (the influence can be checked with the planning tool).




B i k l d WCDMA di t k ti i ti



O&M Optimization

The major work contents of the post-launch O&M

Optimization include:

Adding base station

Further sectorizing existing base station

Optimizing the parameters

Reducing the interference

Using more than 1 carriers

Implementing the layered cell structure

Providing the solution for indoor coverage


B i k l d WCDMA di t k ti i ti



Flow for network

operation analysis

Start

Retrieve background data

OMC engineer

Analyze data andnetwork performance

Optimizing engineer

Backgroundstatistics data

Network running

analysis report

End

O&M Optimization

Network operation analysis is suitable for a network in formal operation.

OMC performance statistic data can be extracted and analyzed

periodically, possible equipment and network problems can be

analyzed and then network operation analysis report can be submitted

to provide a reference for the customer’s network adjustment and

optimization.




Contents

Basic knowledge about WCDMA

radio network optimization

WCDMA radio network optimizationflow and technique

WCDMA radio network optimization

software

WCDMA di t k ti i ti fl d t h i



Simulation/planning report

Start

Preliminary setup

Frequency spectrum scan

Calibration test

Network data collection

Data analysis

Parameter check

Problem locate

Making optimization plan

Carrying out optimization plan

Optimization verification

Networkperformance meetsthe requirements?

Optimization project acceptance

Data archive

Optimizationproject plan

Network evaluationreport

Optimizingadjustment plan

Optimizingadjustment record

Network optimizationreport

End

Network Optimization Flow

WCDMA radio network optimization flow and technique




A perfect work plan is the guarantee for the smooth implementation of network optimization and can also be used to monitor the optimization progress.

Preparations

Analyzing the Requirements

Understand the coverage and capacity requirements.

Confirm the setting of the optimization test parameters. (Parameters of test

equipment, and test means)

Confirm the work division interface with the customer.

Confirm the acceptance standard of each item.

Drawing the work plan

The work plan should be drawn according to such conditions as the

network scale, human and equipment resources as well as the customer’s

objective and requirement for the network optimization. Then output theOptimization Plan for WCDMA Radio Network in XX Service Area.





Preparations

Collecting and investigating materials Obtain the WCDMA Radio Network Simulation Report in XX Service Area

and WCDMA Radio Network Planning Report in XX Service Area at the

network planning stage.

Obtain the site information, antenna feeder information and the setting of

the system parameters in the current network. Know the problems in the current network.

Preparing optimization tool

DT tools are the basic tools for network optimization test. They include DT

software, test mobile phone, receiver and GPS. Besides, some DT

equipment requires a dual-serial-port card.

Possible signaling analyzer need be used for signaling tracing and locating.

If interference test need be conduct, device such as spectrum analyzer

may be required; If the engineering parameters need be adjusted, then

devices such as compass may be used.





Spectrum Scanning (Optional)

Spectrum scanning

With the authorization from the

customer, scan and confirm the

frequencies used by the

network at present in the

optimization area to ensure that

the frequencies are clean and

available.




Collection of Network Data

Source of network optimization

data:

DT data

CQT data OMC performance statistic data

User complaint information

Alarm information

Other data





Only under the same load condition and on the same paging mode, can thecomparison be carried out between the network evaluations. Therefore, youshould firstly understand the parameter selection of the network data.

The loads in the network evaluation test can be divided into types: on busy, with load and

without load (or light load). For the network in running and with large number

assignment, the “on busy” evaluation is adopted; for the newly created network, the

“with load” or “without load” evaluation is adopted.

In terms of call duration, the call modes can be divided into continuous long

call and periodic call.

The difference between this two call modes is the duration. The call duration

for the continuous long call is as long as possible, while that for the periodic

call is fixed (the duration is determined by the real situation.

The times of periodic call reflects the processing capability and the result is

closer to the user’s usage, while the continuous long time call reflects the

system’s handover capability.

Parameter Requirement for Data Collection





Network Data Collection- DT Data

Drive Test (DT) refers to the process to move along a selected

path in the coverage area and then record various test data and

location information through DT equipment. The items in CS

service DT assessment include coverage rate, call success rate,

call drop rate, conversation quality and handover success rate.

The major items in PS service DT assessment include PDP

context activation success rate and the average uplink/downlink

transmission rate.






The DT data to be collected includes:

Ec/Io, Pilot Power, UE TX Power, Neighbours, Call

Success/Drops and Handover statistics; FER/BLER, Delay

DT devices include: Scanner, test mobile phone, DT

software and GPS. As for the on-site test software, the

special test software for WCDMA radio network

optimization ZXPOS CNT1(UMTS Edition) can beadopted.





Scanner is used for to collect complete radio network information,

and implement pilot analysis test and spectrum analysis test.


Both scanner and test mobile phone can be used for network data collection. However they are different from

each other in some way.





Test mobile phone is used to understand the use situation of the users and collect the

downlink information on the network. It implements the following functions:

Collecting the measurement data of the mobile phone, including pilot power, Ec/Io, UE

Tx power, neighbor cells, RSSI and FER/BLER.

Call class event and performance statistics: including the statistics of call drop rate,

blocking rate, call success rate, handover success rate, voice service quality and data

service rate.

Collecting the signaling of air interface: decoding L3 messages such as access, paging,

synchronization and downlink/uplink service messages.







DT Principles

WCDMA system is a self-interference system. On different

network load conditions, the DT result will also be different.

Thus, before the test the network load need be confirmed.

An appropriate test time need be selected according to the

load selection of different networks.

Based on the area that the test path belongs to, DT can be

divided into urban DT and artery DT.

The test conditions shall be kept consistent for tests

conducted before and after the optimization.






Selection of test path Radial path and ring path shall be selected as the DT path.

The radial path can reflect the variation of the signal quality

according to the change of the base station distance.

The ring path can provide the prediction of the signal quality in

different directions of the base station.

During the optimization test, generally three test paths need be

defined for each base station cluster. Besides, the test paths

before and after the optimization shall be kept consistent.




Including the geographical location information

Subject to the restriction of selected test path, which influences the accuracy of the test

result

Features of DT data


p q




CQT refers to the fixed-point test conducted at important places in the coverage area.

Scenic spot, airport, railway station, bus

station and port

Important hotels (star-level hotels)

Catering and entertainment sites, largeshopping malls

Important residential communities andoffice areas

Other important areas

Conduct the CQT at a fixed places and record various data at each place.At each test place several calls shall be originated.

Fixed-point CQT includes CS service test and PS service test. Thespecific test contents are related to the customer’s requirement and shall be determined according to the actual situation.

Network Data Collection-CQT Data

p q




CQT principles

Test time requirement

The following factors shall be considered during the selection of test site:

The traffic of the area where the test point is located: for a network in formal operation,

generally a site with large traffic shall be selected.

Geographical sector of the area where the test site is located: 80% of the test sites shall

be indoor while 20% shall be outdoor. Besides, the sites shall be geographically

distributed evenly.

Radio environment of the area where the test site is located: a place where repeater or

indoor distribution system is installed shall be preferred as the test site.

Areas where there may be network problems: areas that may become coverage blind

areas, for example, street canyons between high buildings or places in areas with

multiple carriers


p q




Features of CQT data

Including geographical location information

Subject to the restriction of the selected test path, which influences the accuracy of thetest result


p q




Extraction

Concept

Features

The extraction of OMC performance statistic data is suitable for a network

that has already been commercially applied on a large scale. The data are

objective and abundant and reflect the operation quality of the whole

network from the point of view of statistics. The network performance

index obtained in this way can be used as the most important basis for

evaluate the network performance.

The counter value required for calculating the network KPI can be extracted

flexibly. Besides, the statistics can be conducted flexibly according to

different statistic range, or performance statistics table can be made

according to the customer’s requirement.

Based on the statistics of large amount of sampling data, the background

NMS reflects the operation quality of the network under its management. The statistic range varies from one another. In some cases the statistic unit

is RNC and in other cases the unit is logic cell.

Counters for calculating various network performance indices are

provided.

Network Data Collection-OMC Performance Statistic

Data




As the end user of the network service, ordinary user has more direct experience of the

network performance.

The user complaint information most directly reflects the disadvantage of thenetwork.

Users are most concerned with the problems included in the complaints, whichneed be solved as soon as possible.

The complaint includes geographical location information.

Generally the problems complained include poor signal coverage quality,difficulty for call completion and frequent call drop.

Network Data Collection-User Complaint Information




Network Data Collection-Alarm Information

Alarm information includes the alarm information of the

RNC, Node B and CN background NMS.

It reflects the abnormal or near-abnormal status in

equipment use or network operation. During network

optimization, the alarm information deserves close

attention and need be viewed periodically, so that

warning information or problems can be found in time toavoid the occurrence of accident.




Network Data Collection-Other Data

In addition to the data listed above, there are data

obtained through the signaling analysis system, network

flow test system and voice quality assessment system.




Data Analysis

Data analysis indicates to make clear the network

operation quality, assess the network performance, find

and locating the possible network problems and provide

suggestions for network optimization by analyzing the DT

data, CQT data, OMC performance statistic data, user

complaint information and alarm information.



User-defined Event Analysis Statistic Analysis

Graphical Analysis

Data Analysis- DT Data




Adopt special network optimization analysis software ZXPOSCNA1(UMTS Edition) to analyze the CQT test data. The items to

be analyzed include:

Call event analysis

Delay analysis

User-defined event analysis

Geographical analysis of events

Geographical analysis of delay

Analysis of various statistic indices

CQT data analysis be used to obtain the call success rate, call drop rate, call delay,conversation quality and average rate of data service. Base on this, we can knowthe indoor coverage and interference of the network in the selected area.

Data Analysis-CQT Data




Call success rate

Call success rate

＝[number of successful calls /the total number

of calls]×100%

Call drop rate

Call drop rate＝[number of call drop times/total

number of successful calls]×100%





Average call delay

WCDMA network optimization analysis software ZXPOS CNA1 can be used

for the statistic analysis of the average call delay. It is also the statistics of the

average interval between the time the calling terminal receives the Alerting

signaling directly transmitted by the CN and the time when the calling terminal

sends the first RRC Connection Request.

As different network load will result in different radio environment quality, there will alsogreat difference in random access delay. Therefore, the statistics of the average call delay isconducted on the base of network load.





Data Analysis-OMC Performance Statistic Data

OMC performance statistic data analysis can generate

the General Performance Index (GPI) and Key

Performance Index (KPI) of the radio network. They are

important data for assessing the network performance.

Through the analysis of OMC performance statistic data,

the area where the problem has occurred can be directly

located on the OMC platform. This helps accuratelylocate the problem..





Indices that reflect the resources utilization include: ratio of

worse cells, ratio of over busy cells, ratio of over idle cells and

utility of cell code resources.

Indices extracted from the OMC background also include other indices that reflect network operation quality: access success

rate, call success rate, call drop rate and call delay.

Indices that reflect system handover performance (handover

success rate) include: softer handover success rate,, cross-lur

interface software handover success rate, hard handover

success rate and inter-system handover success rate.




Worst cell refers to a cell whose service call drop rate is greater than a% or whose service

congestion rate is greater than b% in the case of a given traffic. The ratio of worst cells refers to

the percentage of the number of worst cells among the total number of available cells in thesystem.

Index description

Rate of worst cells

Ratio of worst cells

= the total number of worst cells

/number of available cells * 100%

Calculating formula

The total number of worst cells refers to the number of cells whose service drop rate is greater

than a% or whose service congestion rate is greater than b%. a% and b% can set in the

configuration. The total number of available cells refer to the number of available cells in the

system at present.





Over busy cell refers to a cell where the utility of carrier transmitting power is greater than c%. The ratio

of over busy cells is the percentage of the over busy cells in the total number of cells.

Index description

Ratio of over busy cells

Ratio of over busy cells

= total number of over busy cells

/total number of available cells *100%

Calculating formula

The total number of over busy cells refers to the number of cells where the utility of the carrier

transmitting power is greater than c%, in which c% can be set during the configuration. The total number

of cells refer to the number of available cells in the system at present.




Softer handover occurs between different cells in the same NodeB, while the diversity signals are

combined based on the maximum gain rate at the RNC. The softer handover success rate reflects themobility performance of the system and can be indirectly felt by the user.

Index description

Softer handover success rate

Calculating formula

Softer handover success rate

= number of successful softer handover times

/number of softer handover attempts *100%





Access success rate (RRC connection success rate) reflects the UE access ability of the radio network. Successful RRC

connection means that the UE has established signaling connection with the RNC. This index is also important for

measuring the call completion rate and is included in the latter. It will influence the call success rate and can be directly

felt by the user.

Index description

Access success rate

Calculatingformula

Here the influence of the retransmission is omitted.

Access success rate

= number of RRC connection success times

/ RRC connection attempts* 100%





Index description

RAB connection success rate

RRC connection success means that the UE has established signaling connection with

the network, which is the first step for establishing call connection. On the other

hand, RAB connection success means that user plane connection has been

successfully allocated to the user (RAB refers to the user plane bearer and is used to

transmit voice, data and multimedia services between UE and CN). It is the last step

for establishing call connection.

RAB connection success rate is a performance index that can be directly felt by the

user. It can be divided into CS domain RAB connection success rate and PS domain

RAB connection success rate. Besides, each of the two types can be further divided

according to the specific services.





Formula for calculating RAB connection success rate

CS domain RAB connection success rate

= number of CS domain successful RAB connection times

/number of CS domain RAB connection attempts×100%

PS domain RAB connection success rate

= number of PS domain successful RAB connection times

/number of PS domain RAB connection attempts ×100%

RAB connection success rate

=(number of CS domain successful RAB connection times +

number of PS domain successful RAB connection times )

/(number of CS domain RAB connection attempts +

number of PS domain RAB connection attempts )×100%





As the end user of the network service, ordinary users can feel the network

performance most directly. Due to the diversity and individuality of each problemdescribed by the user, the user complaint data involve not only the base station side,

but also the billing system and transmission system. Therefore, the complain data

need be carefully identified to find the data that can actually reflect the network status.

The user complaint can directly reflect the problem phenomena and

geographical information. From the complaint the following information can

be collated out:

Area of poor signal coverage

Area of low call success rate

Area of high call drop rate

Area of poor conversation quality

Data Analysis-User Complaint Information




If it can be determined from the alarm information that the problem lies in the basestation (for example, alarm for standing wave ratio), then the faulty base station

should be checked and trouble-shooting should be conducted for the equipment.

Data Analysis-Alarm Information

Alarm information includes a large amount of abnormal warninginformation during network operation. It can help the

optimization engineer to quickly locate the problem and find the

direction and method for solving the problem.

Besides, OMC performance statistic indices may also be

abnormal. When the relation between the OMC performance

statistic indices and the relevant alarm information is found, it

will greatly help locate the network fault and solve the problems.



Common Analysis Methods

Common optimization analysis methods include:

Multi-dimensional analysis

Tendency analysis

Accident analysis

Comparative analysis

Grading analysis

Cause and influence analysis




Multi-dimensional analysis

“Dimension” here refers to the standing point of problem handling and the direction

problem solution.

The data can be analyzed from several different angles and the combinations of them.

For example: to solve the call drop problem, we shall not only pay attention

to drop, but also handover and access problems.





Tendency analysis Analyze the tendency of the change according to the change of time from the

angle of time sequence and find the regularities.





Accident analysis

Find abnormal data such as over-high /over-low data and too drastic change

from a large amount of data and, and find the data of the cause.

The call drop rateis abnormally high.

We should check

whether there is

problems in this

time segment.





Comparative analysis

It indices to compare different data sets from the same view and find the

difference. If necessary, we can further find cause of the difference. This

method is generally used in signaling flow analysis.

Grading analysis

Find the Top N and Bottom N data from a large amount of data according to a

certain classification method. These data deserve special attention, for example,

the common worst cell method.





Cause and influence analysis

Find the influence factors from a large amount of data for a specific

result already generated and analyze the importance of the different

factors and or their combinations.

Each method has its orientation and restriction for problem analysis. Thus, it isdifficult to only use a single method to locate a specific equipment problem parameter configuration problem (including engineering parameter and radio

parameter) and network resources utility problem. Instead, the above analysismethods shall be combined and used together.





First summarize the network test and analysis conducted at theearly stage and output the WCDMA Radio Network Assessment

Report in XX Service Area.

The comprehensive score of the network assessment shall be

obtained by weighting and summating the DT score, CQT scoreand OMC background index score.

The assessment is used to discover the problems in the network,

provide guide for the network optimization at the next stage and

facilitate the comparison of the performance before and after thenetwork optimization.

Network Assement




Check the base station

Check whether the base station is in the correct location, whether the type of the antenna is

correct, whether the height, direction angle and downward tilt of the antenna are consistent

with the planned solution, whether the type of the feeder is correct and the length is

appropriate and whether the standing wave ratio of the antenna feeder is appropriate.

Data analysis can help find bad indices in the network. If it is found that the parameter

configuration is unreasonable and influences the network performance, the parameter

configuration of the abnormal base station must be checked. The contents of the check

include:

Check whether the radio configuration parameter of the cell is consistent with the planned

value.

Check the relevant configuration parameters of the voice service and data service.

Parameter Check (Optional)




Problem Locating

The problems of radio network are found in the following

major aspects:

Equipment software and hardware problems

Engineering parameter problem

Radio parameter problem

Network capacity problem




Making Optimization Solution

The major adjustment policies for network optimization includes:

Adjust the software and hardware of the equipment.

If software problem is found through parameter check, the software versionshall be confirmed and updated in time. Hardware problem is generally boardfault, in which case the faulty board need be replaced by a normal one.

Adjust the network engineering parameters.

This includes the adjustment of the direction angle, downward tilt angle, height

and location of the antenna. After the network construction is completed,coverage and interference problems in the pre-launch network optimizationshall be solved by adjusting the network engineering parameter.

Adjust the network radio parameters.

This includes the adjustment of the access parameter, paging parameter, power control parameter, handover parameter and search parameter.

Adjust the neighboring cell list of the system.

Optimize the neighboring cell list of the network through DT data analysis. Capacity analysis or busy analysis.

Possible measures include cell splitting, adding cells and micro cells, RFextension and use of multiple carriers.



Optimization Verification

After the network optimization solution is implemented, it is

necessary to verify whether the network problems have been

solved or whether the network performance is improved.

To implement the optimization verification, also first collect the

network operation data and analyze the collected data.

After the optimization solution is implemented, assess the network

performance again by analyzing the DT data, CQT data, OMC

performance statistic data, user complaint and alarm data.

Compare the network performance indices before and after the

optimization and verify whether the network problems are solved

or the network performance has met the requirement after the

optimization.




Project Acceptance

Acceptance test shall be conducted for the requirednetwork performance indices according to the contract

requirements. Contents of the test such as the test path,

test point and call mode shall be set according to the

principle determined at the contract or requirement

analysis stage. In principle the customer shall participate

in the acceptance test.




Documentation Archiving

After the optimization verification and project acceptance,

the network optimization report need be submitted and

relevant documentations need be archived.

The network optimization report includes such contents

as problem analysis, locating process, optimization

measures adopted, comparison of the indices before and

after the optimization, remaining problems of the networkand suggestions for subsequent construction.



Contents

Basic knowledge on WCDMA radio

network optimization

WCDMA radio network optimizationprocess and technology

WCDMA radio network optimization

software

WCDMA radio network optimization software



Network Optimization Software

Two sets of optimization software that reach the commercial

application standard:

ZXPOS CNT1(UMTS Edition)

It is the special test software for WCDMA radio network optimization.

It can accurately and display various kinds of network data in a realtime way so that the user can know the network performance and

diagnose network faults quickly.

ZXPOS CNA1(UMTS Edition)

It is the special analysis tool for WCDMA radio network optimization.

It is based on DT data and other auxiliary data and can conduct

various kinds of intelligent analysis for radio network to help

implement the network optimization quickly and effectively.




Support mobile phones that comply with the Qualcomm serial data control protocol and

quickly implement the test and configuration of mobile phones.

Support the simultaneous test of several mobile phones and implement independent control

and display for each mobile phone.

Provide convenient indoor test function: support the pre-definition and modification of the

path.

Powerful geographical display function: dynamically color the test parameter, display call

events graphically, draw neighboring lines in real time way and support the MapInfo format

and geographical display of base station information.

Support the GPS that complies with the NMEA standard and adopts RS-232 communication

interface and implement GPS test and configuration quickly and intelligently.

Major Features of CNT1

M j F f CNT1




Provide powerful message analysis function, support the thorough decoding, filtration and

classified display of RRC and NAS messages and able to assembly system information blocks

transmitted in segments.

Quickly and accurately collect mobile phone diagnostic test data and GPS positioning data, and

display L1, L2 and L3 data in geographically in a dynamic-static combined way based on graphs

and tables.

Provide powerful service test function and support the customization of voice/data service

automatic test plan; analyze the cause of voice call failure intelligently and quickly locate the

problem.

Provide the data review function to read the files recorded in the test and show the test process

again.

Support automatic link disconnection test and recovery of equipment.

Major Features of CNT1



G hi l Di l




Geographical Display

Support the display of Best

Ec/Io, Aggregated Ec/Io, UEreceiving power, UE

transmitting power, block error

rate of the transmission

channel and downlink/uplink

RLC throughput along the test

path.

Support the display of

message events.

Support the immediate line

connection between data point

and service cell and the theimmediate line connection

between data point and

relevant cell (the cell

corresponding to the activation

set).

Di l f L1 M




Display of L1 Message

Display the pilot information and multi-path information.

Display the uplink and downlink physical channels.

Display the information about the power parameter.

Power Parameter CurveMulti-path Information



Si li T i




Signaling Tracing Interface

Signaling Tracing

Support the decoding, filtration and capture of RRC and

NAS messages.

Voice Ser ice Test




Voice service test

Voice Service Test

Support the customization of test plan.

Support the display of the process, time and statistic information of thecall, as well as the call originating, hook-on, aerial interface messageand status information.

Support time statistics and record in a real time way various statisticinformation during the CQT of voice service, including number of connection requests, call connection time, link release time and idletime.

Data Service Test




Data service test

Data Service Test

Support thecustomization of test plan.

Support the service test

of traffic display of PPP,

PING, FTP and HTTP.

Provide traffic monitoring

function at IP, TCP and

UDP levels.

Data Review




Data Review

Data Review

Support the review of the test process data and re-display

the test process.

GPS Status Information




GPS Status Window

GPS Status Information

Support the display of GPS satellite signals.

Support the display of GPS positioning information.



Powerful Pilot Analysis Function




Best All

-coverage coloring of a specified PSC

It includes the best coverage of the specified PSC (PSC’s Ec/Io

is best) and all coverage of a specified PSC (PSC’s Ec/Io in

NBList)





-coloring the best coverage of all PSCs

This function displays the best Ec/Io (Best Ec/Io in NBlist) and the PSC

with the best Ec/Io (Best PSC in NBlist) along the whole test path.

Powerful Pilot Analysis Function-pilot pollution




Pilot pollution algorithm GPPA2

n>Ec/Io>mandshall be greater

than X.

analysis

At present the system supports 2 common pilot pollution algorithms

GPPA1 and GPPA2 and one special pilot pollution algorithm SPPA1.





Special pilot pollution algorithm SPPA1

The conditions below

shall be met:Count(Ec/Io>m)>n

And X>its difference

value>y.

-pilot pollution analysis

Analysis of Lacking Neighboring Cell




Analysis of Lacking Neighboring Cell

When a certain PSC is not in the neighboring cell list but PNScanner

finds that though it is not in the neighboring cell list, its strength has

exceeded the preset threshold, then it is considered as lacking.

Message Browsing




Message Browsing

The message analysis window is divided into two parts. The upper part

is the MessageList sub-window, while the lower part is the Decode

sub-window.

Message Analysis




Delay Analysis (CS is separated from PS)

Message Analysis

It includes message filtration, user-defined event analysis, delay

analysis and KPI analysis.

Message Analysis




KPI Analysis (CS is separated from PS)

Message Analysis

It includes message filtration, user-defined event analysis, delay

analysis and KPI analysis.



Automatic Report Output




Automatic Report Output

The analysis item selected can be automatically exported in a Word

document in the mode of a MAP, table or curve graph according to thepre-defined template.

7-zte wcdma radio network optimization introduction 101

Documents