Cw Survey Planning

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    Copyright 1999 AIRCOM International LtdAll rights reserved. No part of this work, which is protected by copyright, may be reproduced

    in any form or by any means - graphic, electronic or mechanical, including photocopying,

    recording, taping or storage in an information retrieval system without the written permission

    of the copyright owner.

    CW Survey

    Planning GuideXanthos N. Angelides

    5th April 2000

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    CW Survey Planning Guide Page 1

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    CONTENTS

    1. INTRODUCTION... 2

    2. DIGITAL MAP DATA... 2

    2.1. Map Data Recommendations..... 2

    3. CW MEASUREMENT DATA...... 2

    3.1 Site Parameters and Visits.. 3

    3.1.1 Site Selection.......... 3

    3.1.2 Site Parameters where Verification is Required.. 33.1.3 Factors to Observe During Site Visits... 3

    3.2 Survey Planning....... 4

    3.2.1 Factors for Planning Surveys. 4

    3.3 Equipment Parameters.... 5

    3.3.1 Typical Test Transmitter Setup.... 5

    3.3.2 Typical Receiver Setup....... 6

    3.4 Collected CW Data... 73.4.1 Data Filtering...... 7

    3.4.2 Survey Feedback..... 7

    3.4.3 Data Binning.... 8

    3.4.4 File Format for CW Survey Data.. 8

    APPENDIX A..... 10

    APPENDIX B...... 11

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    1. INTRODUCTION

    This Application Note aims to provide guidance on the process of conducting Continuous

    Wave (CW) propagation surveys for the collection of actual data required for the calibrationof the propagation model in ASSET.

    The calibration process is directly depended on the quality of the data used to conduct it.

    The two key inputs which dictate the results of a calibration process of any propagation

    model are:

    1. The resolution accuracy and quality of the available digital terrain andmorphology data.

    2. The quality, statistical validity and accuracy of the Continuous Wave (CW)propagation survey data used to calibrate the model.

    These inputs must be verified before and during the CW survey process to ensure that

    errors are minimal. This Application Note examines these various inputs along with methods

    of planning and implementing CW surveys identifying issues which may affect the overall

    results.

    2. DIGITAL MAP DATA

    Mapping data is essential for the functionality of a prediction model. Furthermore its

    accuracy will play a key role throughout the calibration process and will determine the

    quality of the resulting propagation model. It is therefore important that mapping data is up-

    to-date and various map data sets are available for the calibration of the different prediction

    models.

    2.1. Map Data Recommendations

    Data sets must be derived from source material less than two years old.

    A countrywide data set should be used for the rural and semi rural locations whereashigh-resolution maps should be used for the denser urban areas and city centres.

    These should comprise of the features described in the ASSET user manual.

    High resolution scanned maps would be of great advantage.

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    3. CW MEASUREMENT DATA

    Apart from the actual measurements collected while conducting CW surveys various other

    parameters are required for the calibration. It is highly recommended that all parameters of

    the calibration configuration are verified throughout the data collection process. The main

    areas where attention and constant verification are required are identified as follows.

    Site Parameters Survey Planning Equipment Parameters Analysis on Collected CW Data

    The following subsections describe the various issues and suggestions for each of the above

    areas.

    3.1Site Parameters and VisitsTo ensure validity of the calibration process it is essential that sites are selected carefully

    and that various parameters required for the calibration process are verified.

    Furthermore site visits before planning and conducting surveys are always useful since

    through these possible delays and problems can be identified soon before the surveys

    commence. The site morphology is also a major factor in determine the extent of surveys

    regarding direction around the site.

    3.1.1 Site Selection

    Test sites measured should be representative of typical BTS sites, consideringissues such as the general environment and antenna height surrounding clutter

    characteristics etc.

    They should be spread around the area where the prediction model will be usedon so as to capture a wider range of DTM heights and locations thus ensuring a

    valid model for all the area in hand.

    Sites should have flat roofs and power outlets (possibly sites with BTS equipmenton the roof) so that test masts and equipment can be installed.

    3.1.2 Site Parameters where Verification is Required

    HeightThe heights of sites should be verified using an altimeter. Building heights are

    usually provided by estate authorities and are usually inaccurate.

    LocationThe site location should be verified in Longitude-Latitude format, which will be

    used for the calibration. These coordinates must be calculated in the ellipsoid

    format used by the mapping data in ASSET.

    3.1.3 Factors to Observe During Site Visits

    Area Around SiteKnowledge on the area surrounding a site is always beneficial when planning andconducting surveys. It is useful to know the clutter types in the near areas around

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    the site and the possibility to drive as close as possible to the site so as to collect

    data at distances under 200m which usually causes problems.

    Morphology of the SiteUrban sites are often installed on tall large terrace buildings with wide roof-topsthus if a test antenna is installed on the building the first reflections of the signal

    will be blocked in areas near the building. The shadowing effect of the building

    can be minimised by installing the test antenna as close as possible to one edge of

    the building or at the tallest point of the building. The drives must then be planned

    in the direction of the building where the antenna was installed thus avoiding any

    blocking effects on the other side of the building.

    Site Access and Power Issues3.2Survey PlanningOnce identifying any drive limitations through the site visits care must be taken in the

    actual route planning. Various factors shape the actual drive and the validity and

    accuracy of the CW data.

    3.2.1 Factors for Planning Surveys

    Drive tests must first be planned according to the limitations observed through thesite visits.

    It is important to collect a statistically significant amount of data. The more dataavailable the more accurately the model can be calibrated.

    The data should be evenly distributed with respect to distance from thetransmitter. Distance should also be taken into account on a per clutter type

    basis. Using various locations of test sites this is practically implemented.

    When planning drive routes it is of great importance to ensure that the drive goesthrough the clutter type in mind since consecutive roads may be classified as

    different clutter types.

    Using partially the same routes for different surveys is beneficial since the differentlocation of the test antenna will provide different data with respect to distance.

    The extent of the survey is dictated on the amount of clutter types and requiredbins along with the actual purposes of the survey data. In cases where the data

    collected will be used for analysing interference between sites survey may tend to

    reach long distances away from the site and the actual route exceeding 100km.

    There should be sufficient data collected within each clutter category to ensureaccurate modelling. Typically a minimum of 600 data points are required for each

    clutter category.

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    3.3 Equipment Parameters

    For accuracy in the CW data it is required that the setups performance is verified and

    factors contributing to variations in the CW data to be taken into account. Below thesetup of a typical test configuration for CW surveys is described with details on all the

    elements and settings which need verification. It would be useful to note down the

    performance of these elements before and after each survey. The template in Appendix

    A may prove useful. It contains data fields which are required for the calibration

    process.

    3.3.1 Typical Test Transmitter Setup

    Transmitter SettingsPower: Constant stable power must be used throughout the surveys and it would

    be recommended that its value was verified before and after each survey. This

    power must be high enough so that the radiated signal would be sufficiently higher

    than the noise floor.

    Frequency: The test frequency should be selected so that no signals other than

    that of the test transmitter are measured. It would be wise to scan the air interface

    for any interfering signals that may cause problems to the data collection.

    Connector LossesThe power at the input of the antenna is a required input to any calibration

    process. In simple setups like the one illustrated above the power can be

    measured by subtracting the loss through the cable from the transmitter power. It

    is therefore necessary to use a cable with known losses.

    In more sophisticated setups an NRT sensor can be connected between the

    antenna and the end of the feeder to monitor the power into the antenna. This is

    usually more accurate since the transmitter clock usually has a slight error upto

    20%.

    Antenna SettingsType: In order to make measurements more accurate simple antennas should be

    used as it would limit the number and depth of sidelobes. Generally low gain

    simple omnidirectional antennas are suitable. It is necessary to know the antennas

    radiating pattern and to use it within ASSET during the calibration.

    TRX

    Simple

    Omni

    AntennaFeeder

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    Height: The antenna is usually set on a pump-up mast. The height of the mast

    must therefore be measured and added to the overall site height which will be

    used in the calibration.

    3.3.2 Typical Receiver Setup

    Antenna SettingsType: Typicallya simple omnidirectional antennas with zero gain should be used

    are suitable.

    Height: The receiver antenna height should remain constant throughout the

    surveys at the typical height of mobile stations (human height). This in practice is

    set as the height of the roof of the measurement vehicle.

    Connector LossesThe losses in the cables and connectors must be taken into account when

    measuring the signal strength at the receiver ends. At the operating frequency

    these losses should be measured prior the commencement of the surveys and

    then be added to the received signal strength. This way the collected data will

    represent signals at the input of the receiver antenna.

    Measurement ReceiverIt is suggested that the receiver takes measurements using a narrow band filter.

    This would enable measurements at lower signal levels and would decrease anypossibility of interference.

    Positional DataTo ensure positional accuracy the use of differential GPS (DGPS) is

    recommended. This may also need to be augmented with dead-reckoning to

    cope with areas where satellite lock is lost for long periods.

    Measurement SoftwareData will be collected with the use of a processor using a measurement software

    package usually provided by the measurement receiver vendor. Each

    measurement will be a set of coordinates calculated by the DGPS and a value for

    Simple

    Omni

    AntennaFeeder

    CP

    DGPS

    Measurement

    Receiver

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    the received signal in dBms. The rate by which data is stored is dictated by the

    sampling rate achieved by the receiver. It is recommended that the samples

    should be distance triggered and that the speed of the mobile be directly

    proportional to the sampling rate.

    3.4 Collected CW Data

    Before the collected data can be used appropriate filtering must be performed so as to

    verify its validity and remove erroneous data. Inspecting the CW data using ASSET and

    through the survey teams comment valuable feedback can be obtained which could be

    used for future survey planning. Once the filtering process has been performed the

    collected data must be binned and converted to the required format along with the

    setup data for use within ASSET.

    3.4.1 Data Filtering

    It is essential to filter any invalid data that may cause anomalies in the calibration

    process. Data which requires filtering can be identified through correct tagging of

    measurements by the team conducting the surveys. Generally the following

    circumstances would result to invalid data and therefore must be removed from the

    measurement files.

    Elevated RoadsData would be measured at a different height than desired and thus

    would be invalid.

    BlockingBlocking would cause abrupt drops in signal strength. Data would be

    invalid since it does not represent the prediction model being calibrated.

    This would occur when driving through tunnels, under bridges or when

    driving alongside larger trucks or busses.

    Dead Reckoning Drifting OffIn areas where satellite lock is lost for long periods the configuration uses

    dead reckoning to ensure positional accuracy. Dead reckoning works

    fine when driving over a steady bearing. If an abrupt turn is taken then

    dead reckoning will drift off and positional data will be inaccurate. This

    may result to measurements being assigned to different clutter types than

    what they should be.

    Consequences due to DGPS Offset EffectEven though it is strongly advised that DGPS is used for positional

    accuracy it must be noted that this is accurate within 5-30m. The

    consequence of this inaccuracy may result to measurements being

    assigned to different clutter types and thus invalidity of measurements.

    When filtering data this must be taken into account and there may be

    circumstances where data will require shifting so as to coincide with the

    correct mapping data.

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    3.4.2 Survey Feedback

    Feedback from surveys may prove valuable when defining new drive routes.

    Drive routes can be planned taking into account any problemsencountered thus minimising time delays during the drive.

    The team conducting the survey team may point out roads that cannotbe driven through or one way streets, which can be taken into account

    so as to plan surveys which are easier to follow.

    3.4.3 Data Binning

    Once all the erroneous data has been filtered out the data must be appropriately

    binned for its use within ASSET.

    Conversion of Coordinates Long/Lat format used in the map data. Interpolation of coordinates (useful when using distance triggering and

    GPS coordinates are not updated fast enough) Once the bins are taken all values below 110 dBm are removed

    (values below 110 are usually too close to the noise floor to be valid).

    Averaging of values over areas based upon the resolution of the mapdata used for the calibration.

    3.4.4 File Format for CW Survey Data

    Once the data is binned then it must be stored in the required format for the

    calibration process. ASSET supports various file formats for CW measurement

    analysis. The most commonly used file format is the Signia file format and is

    recommended for use since it can easily be generated for all types of surveys.Each survey performed consists of two files. They are:

    Header FileIt consists of all detailed information about the test site and the survey.

    Typically

    Data about Site Location and Parameters Numerical data about equipment configuration Management Data and Comments

    The file is in ASCII text format and it is useful to name it in the following

    format for organisation purposes:

    SiteID_SurveyNo_Date.hdAn example of a Signia Header file can be found in Appendix B

    Data FileIt contains any number of measurements where each line of data

    represents one measurement. The data for each measurement is split

    into three columns separated with a single space. The data in each

    column is as follows:

    Decimal Longitude for measurement Decimal Latitude for measurement Signal Strength Received

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    The file is in ASCII text format and is named the same way as the

    corresponding header file with a different extension:

    SiteID_SurveyNo_Date.dat

    An example of a Signia Data file can be found in Appendix B

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    APPENDIX B

    Signia Header File Format

    SITE_ID 02FON

    SITE_NAME 02FON

    SITE_LONGITUDE 4.34491439

    SITE_LATITUDE 50.84546273

    SITE_TYPE MAST

    TX_AZIMUTH 0

    TX_TILT 0

    TX_HEIGHT 26.86TX_POWER 38.4

    ANTENNA_TYPE K005U0_USED

    FEEDER_TYPE UNK NOWN

    FEEDER_LENGTH 0

    CONNECTOR_LOSS 0

    FREQUENCY900

    OPERATOR UNKNO WN

    COMMENTS POWER WAS MEASURED AT OUTPUT OF CABLE

    DATE_START 13/3/2000

    TIME_START 12:30DATE_END 14/3/2000

    TIME_END 16:00

    Signia Data File Format

    4.33942533 50.83962315 -54.514

    4.33970832 50.83962315 -53.273

    4.33999132 50.83962316 -52.988

    4.33942532 50.83980312 -52.3564.33999132 50.83980313 -56.232

    4.33942532 50.83998310 -44.772

    4.33999131 50.83998310 -57.323

    4.33942531 50.84016307 -47.866

    4.33970831 50.84016307 -53.212

    4.33999131 50.84016307 -55.332

    4.33942531 50.84034304 -53.991

    4.33970830 50.84034304 -45.953

    4.33942530 50.84052301 -56.469

    4.33970830 50.84052302 -49.795

    4.33999130 50.84052302 -43.670

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    4.33999129 50.84070299 -43.803

    4.34027429 50.84070299 -42.132

    4.34112328 50.84070300 -55.351