1-12 two stage ota test method cmcc semina_agilent

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  • 8/13/2019 1-12 Two Stage OTA Test Method CMCC Semina_agilent

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    MIMO OTA ResearchUpdate

    Ya Jing

    Zhu Wen

    Xu Zhao

    Hongwei KongSteve Duffy

    Moray Rumney

    Agilent Technologies

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    Agenda

    MIMO OTA BackgroundMIMO OTA Test Methods

    MIMO OTA Test Application Scenarios

    Two-stage Method and Multiple Probe Antenna MethodEffectiveness Validation

    Using Two-Stage Method to Identify Antenna Performance Issue

    Using Two-Stage Method to Test LTE Device OTA Performance

    Summary

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    Background

    Over-the-air (OTA) test is a mandatory test for conformance toevaluate the handset radiation performance

    LTE MIMO OTA test is to be a mandatory test for LTE handsetdevices driven by operators addressing MIMO OTA challenges

    MIMO OTA test method MIMO OTA channel model MIMO OTA measurement metrics MIMO OTA performance criteria

    A hot LTE Test & Measurement topic for lots of companies

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    Spatial and Antenna Characteristics of the MIMOChannel

    Tx0Tx1

    Rx1Rx0

    MS/UEBS

    Tx0 GainPattern

    Tx1 GainPattern Rx1 Gain

    Pattern

    Rx0 GainPattern

    AoD SpatialDistribution

    AoA SpatialDistribution

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    MIMO Channel Models and OTA Test Methods

    UniformMultipath

    Channel

    Correlation-Based

    Model

    Geometry-BasedModel

    (Sum of Sinusoids)

    Geometry-BasedModel

    (Quantized PAS)

    Channel Approximations

    Two-Stage OTA Method Multiple Probe

    OTA Method

    Reverberation

    ChamberOTA Method

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    MIMO OTA MethodsMultiple Test Probe OTA Method

    Agilent PXTE6621A

    AgilentPXBN5106Achannelemulator RF up-

    converters

    RF connections

    Digitalconnections

    RF down-converters

    Group probe antennas to emulate quantized PAS Does not require direct connection to DUT receivers Requires extensive system calibration Requires a high channel count

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    MIMO OTA MethodsReverberation Chamber OTA Test Method

    Rapid OTA testing, cost effective, excellent for self-desensitization Statistically quasi-uniform fading channel characteristics

    E6621A

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    Throughput Test

    E6621A PXT

    E6621A PXT

    MIMO OTA MethodsTwo-stage MIMO OTA Method

    )(

    RxG

    Page 8

    Stage 1 Antenna pattern

    measurement

    Stage 2Throughput

    measurement

    )( Tx PAS )( TxG )( Rx PAS

    Or modeledpattern

    Measuredpattern

    Fast and very cost effective

    Uses standard SISO anechoic chamber Can models any 2D or 3D channel usingcorrelation or geometry methods

    Requires UE test mode for non-intrusiveantenna pattern measurement

    MeasuredBS Emulator

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    MIMO OTA Test Application Scenarios

    The primary motivation for MIMO OTA test is fordevice conformanceBut other test scenarios exist that require OTA testsolutions MIMO antenna performance evaluation solutions for

    performance optimization Solutions to locate the MIMO device radiation performance

    issues Solutions to do pre-conformance test before formal

    certification Solutions to rank device OTA performance

    Different test application scenarios will have differentsensitivity to some aspects of the high level criteria onMIMO OTA test method

    Problemcomplexity

    Test speed# test runs

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    Antenna Design Issue AnalysisMIMO Antenna Gain

    ANT #2 and ANT #1 performancedifference is partly related to thedifferent MIMO antenna gain

    ANT#2 for most of the orientations hashigher antenna gain than ANT#1

    ANT#1 has much bigger gain variationsthan ANT#2 during the rotation whichindicate poorer symmetry of the antenna

    Average gain difference could be 1-2dBor more depending on different channelmodel

    -92 -90 -88 -86 -84 -82 -80 -78 -76 -740

    1

    2

    3

    4

    5

    6

    7

    Power (dBm)

    T h r o u

    g h p u

    t ( M b / s )

    DUT1 UMiDUT2 UMiDUT1 SC-UMiDUT2 SC-UMiDUT1 UMaDUT2 UMaDUT1 SC-UMaDUT2 SC-UMa

    -200 -150 -100 -50 0 50 100 150 200-13.5

    -13

    -12.5

    -12

    -11.5

    -11

    -10.5

    -10

    -9.5

    -9

    -8.5

    Orientation (degree)

    M I M O a n

    t e n n a g a

    i n ( d B )

    UMaSC-UMaUMiSC-UMi

    -200 -150 -100 -50 0 50 100 150 200-15

    -14.5

    -14

    -13.5

    -13

    -12.5

    -12

    -11.5

    -11

    Orientation

    M I M O A n t e n n a

    G a i n

    ( d B )

    UMaSC-UMaUMiSC-Umi

    Significant performance difference for twotest antennas

    ANT #1

    ANT #2

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    Antenna Design Issue AnalysisPower Imbalance

    The OTA throughput difference is partly related tothe different power imbalance of the twoantennas

    ANT#2 has less severe power imbalance than #1 ANT#1 has significant power imbalance for one side

    which indicate a poor symmetry of antenna as well

    Depending on the channel model, the averagepower imbalance difference could be 1-2dB or more

    -92 -90 -88 -86 -84 -82 -80 -78 -76 -740

    1

    2

    3

    4

    5

    6

    7

    Power (dBm)

    T h r o u

    g h p u

    t ( M b / s )

    DUT1 UMiDUT2 UMiDUT1 SC-UMiDUT2 SC-UMiDUT1 UMaDUT2 UMaDUT1 SC-UMaDUT2 SC-UMa

    -200 -150 -100 -50 0 50 100 150 2000

    2

    4

    6

    8

    10

    12

    14

    16

    18

    Orientation (degree)

    M I M O A n t e n n a

    G a i n

    ( d B )

    UMaSC-UMaUMiSC-UMi

    -200 -150 -100 -50 0 50 100 150 2004

    6

    8

    10

    12

    14

    16

    18

    20

    22

    24

    Orientation (degree)

    P o w e r

    I m b a l a n c e

    ( d B )

    UMaSC-UMaUMiSC-UMi

    Significant performance difference for twotest antennas

    ANT #2

    ANT #1

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    Antenna Design Issue AnalysisCorrelation

    The OTA throughput difference is partlyrelated to the different correlation of thetwo antennas

    ANT#2 has less severe correlation than ANT #1

    -200 -150 -100 -50 0 50 100 150 2000

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    Orientation (degree)

    C o r r e

    l a t i o n

    UMaSC-UMaUMiSC-UMi

    -200 -150 -100 -50 0 50 100 150 2000.5

    0.55

    0.6

    0.65

    0.7

    0.75

    0.8

    0.85

    0.9

    UMaSC-UMaUMi

    SC-UMi

    -92 -90 -88 -86 -84 -82 -80 -78 -76 -740

    1

    2

    3

    4

    5

    6

    7

    Power (dBm)

    T h r o u

    g h p u

    t ( M b / s )

    DUT1 UMiDUT2 UMiDUT1 SC-UMiDUT2 SC-UMiDUT1 UMaDUT2 UMaDUT1 SC-UMaDUT2 SC-UMa

    Significant performance difference for twotest antennas

    ANT #2

    ANT #1

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    Comparison of Two-stage and Single Cluster:Channel Power Correlation Coefficient and Capacity

    0 50 100 150 200 250 300-0.5

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    AoA in degree

    C h a n n e

    l P o w e r

    ( d B )

    4 subpath Ch1 power4 subpath Ch2 power20 subpath Ch1 power20 subpath Ch2 powerMeasured Ch1 powerMeasured Ch2 power

    0 50 100 150 200 250 3000

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1

    AoA in degree

    A b s o l u t

    i o n o f c o r r e

    l a t i o n c o e f

    f i c i e n t

    4 subPath20 subpathMeasured correlation

    PXB(Baseband

    siginal generatorand channel

    emulator)

    ESG #1

    ESG #2

    ESG #3

    ESG #4

    Anechoic Chamber

    Ant#1

    Ant#2

    Ant#3

    Ant#4

    EUT

    Laptop

    Amplifier #1

    Amplifier #2

    Amplifier #3

    Amplifier #4

    VSA 89640

    TurningTable

    Ant 2 Ant 3

    Ant 4 Ant 1

    AoA

    0 50 100 150 200 250 3003

    3.5

    4

    4.5

    5

    5.5

    6

    AoA in degree

    C a p a c

    i t y ( b i t / s /

    H z )

    4 subPath20 subpathMeasured

    Channel Power Correlation Channel Capacity

    Channel measurement with

    multiple probe setupSetup inside chamber

    Single path over four probes3GPP R4-103761

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    Three Devices used to Compare HSDPA RXDiversity Performance Measurement Methods

    Page 14

    0.2

    0.4

    0.6

    0.8

    30

    210

    60

    240

    90

    270

    120

    300

    150

    330

    180 0

    E6400 pattern

    MainAUX

    0.2

    0.4

    0.6

    30

    210

    60

    240

    90

    270

    120

    300

    150

    330

    180 0

    HW K4505 Pattern

    MainAUX

    0.5

    1

    1.5

    2

    30

    210

    60

    240

    90

    270

    120

    300

    150

    330

    180 0

    Dipole Pattern (0.5 Lamda seperation)

    Dipole 1Dipole 2

    ANT #2 ANT #1 ANT #3Dipole (0.5 interval)

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    -90 -88 -86 -84 -82 -80 -78 -76 -74 -72

    10

    20

    30

    40

    50

    60

    70

    80

    Throughput, AS=35deg, VS=3km/ h

    Equivalent Receiving Power (dBm)

    T h r o u g h p u

    t ( % )

    E6400: Multiple ProbeE6400: Two StageK4505: Multiple ProbeK4505: Two Stage

    E6400 with multiple probeantenna setup

    E6400 with two-stage method setup

    3GPP R4-103760

    Scenario E6400:Standarddeviation (percent)

    K4505:Standard deviation(percent)

    AS=35 degree,VS=3km/h

    0.483517051 3.06473018

    AS=25 degree,VS=3km/h

    0.62545 2.805225

    AS=55 degree,VS=3km/h

    1.884411 3.361457

    AS=35 degree,VS=30km/h

    0.969416 2.505081

    AS=25 degree,VS=30km/h

    1.130037 2.820557

    Comparison of OTA Test Methods: Throughput

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    -100 -95 -90 -85 -80 -75 -70 -65 -60

    10

    20

    30

    40

    50

    60

    70

    80

    90

    Throughput, AS=35deg, VS=3km/h

    Equivalent Receiving Power (dBm)

    T h r o u g h p u t

    ( % )

    ANT#1: Multiple Cluster UmiANT#1: Single Cluster UmiANT#1: Uniform EPAANT#1, Multiple Cluster UmaANT#2: Multiple Cluster UmiANT#2: Single Cluster UmiANT#2: Uniform EPAANT#2, Multiple Cluster UmaANT#3: Multiple Cluster UmiANT#3: Single Cluster UmiANT#3: Uniform EPA

    Measurement Results for Receiver Diversity ModeChannel SensitivityUma limitsperformance to80%

    Choice of channelmodel is more

    important for non-ideal antennas(ANT #1, 2)

    Page 16

    For Rx diversity,

    SC-UMi and UMihas the similarperformance

    3GPP R4-104064

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    Two-stage Method Result Comparison withMultiple Probe Antenna based MethodTwo-stage test results indicate that the SC-UMi performance and UMi

    performance should be similar for different device antennas Agilent performed SC-UMi multiple probe antenna test and its result are similarto the Umi multiple probe antenna test results by other companies.

    This indicates that two-stage method can provide reasonable predictions on themultiple probe antenna test results

    -100 -95 -90 -85 -80 -75 -70 -65 -600

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    4500

    5000HSet6 Max T-put

    Channel Power (dBm)

    T - p u t

    ( K b p s )

    RR HSDPA Rx Div Results - HSet6 Umi

    CS-15 -NokiaCS-15 -satimoCS-15 -AgilentCS-15 -Wiesbaden UniversityCS-15 -NTT DCMCS-15 -EMITE

    3GPP R4-104768

    CS-15 results for HSet6 under SCME Urban microcell (Umi)channel

    -100 -95 -90 -85 -80 -75 -70 -650

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

    4500

    5000HSet6 Max T-put

    Channel Power (dBm)

    T - p u t

    ( K b p s )

    RR HSDPA Rx Div Results - HSet6 Umi

    K4505 -Agilent AnechoicK4505 -Agilent 2-StageK4505 -Wiesbaden UniversityK4505 -EMITE

    K4505 results for HSet6 under SCME Urban microcell (Umi) channel

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    Using Two-Stage Method To Test the LTE MIMODevice Performance: Antenna Measurement

    Active antenna measurement

    Pool1 DUT3 main antennapattern on polarization V

    Pool1 DUT3 main antennapattern on polarization H

    050

    100150

    0

    100

    200

    300

    -40

    -30

    -20

    -10

    0

    Elevation (degree)Azimuth (degree)

    A n t e n n a g a

    i n ( d B )

    050

    100150

    0

    100

    200

    300

    -40

    -30

    -20

    -10

    0

    Elevation (degree)Azimuth (degree)

    A n t e n n a g a

    i n ( d B )

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    Active LTE MIMO Antenna Measurement Validation( 0.1 dB & 1 degree stability & good linearitywith power down to -60dBm)

    MXG #0OutputPower(dBm)

    MXG #1OutputPower(dBm)

    MeasuredRSSI_RX0

    (dBm)

    MeasuredRSSI_RX1

    (dBm)

    RSSI_RX0Power Step

    Error(dB)

    RSSI_RX1Power Step

    Error(dB)

    -30 -30 -31.433 -30.1804 0 0

    -40 -40 -41.2886 -40.0433 0.1444 0.137

    -50 -50 -51.6027 -50.5056 -0.1698 -0.3252

    -60 -60 -61.5879 -60.2891 -0.155 -0.1087

    -70 -70 -71.6828 -71.5867 -0.2498 -1.4064

    -80 -80 -81.6261 -81.6424 -0.1931 -1.4621

    -90 -90 -90.5122 -90.973 0.9207 -0.7927

    Page 19

    Pattern Measurement Function Validation Platform

    Table 1 Pattern Power Measurement Validation Results

    Measured Power Distribution at Different Levels

    Pattern Phase Measurement Validation Results

    -1.5 -1 -0.5 0 0.5 1 1.50

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    Measured Phase - Measured Mean Phase (degree)

    M e a s u r e

    d P h a s e

    O f f s e

    t D i s t r i b u t

    i o n

    P r o b a b

    i l i t y D e n c

    i t y

    Measured @ Output Power = -50dBm, Variance = 0.0868

    -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.50

    2

    4

    6

    8

    10

    12

    Measured Power - Measured Mean Power (dB)

    M e a s u r e

    d P o w e r

    O f f s e

    t D

    i s t r i b u t

    i o n

    P r o

    b a b i l i t y

    D e n c i

    t y

    -60dBm

    -70dBm

    -80dBm

    -90dBm

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    RSSI Linearity Calibration

    11/6/2011Oct. 2007Labs Beijing MIMO Project Review

    -95 -90 -85 -80 -75 -70 -65 -60-95

    -90

    -85

    -80

    -75

    -70

    -65

    -60

    -55

    Power Range (dB)

    R S S I L e v e

    l ( d B )

    Pool1 DUT1, main

    Pool1 DUT1, subPool1 DUT3, mainPool1 DUT3, subPool2 DUT1, mainPool2 DUT1, subPool3 DUT1, mainPool3 DUT1, sub

    -90 -85 -80 -75 -70 -65 -60-90

    -85

    -80

    -75

    -70

    -65

    -60

    -55

    Power Range (dB)

    R S S I L e v e

    l ( d B )

    Pool 2 DUT 2, main

    Pool 2 DUT 2, subPool 3 DUT 2, mainPool 3 DUT 2, sub

    Measured the RSSI linearity curves by controlling the receivedsignal power using cable-conducted methodRSSI measurement number shows good linearity on these DUTs

    Antenna pattern was calibrated according to the measured RSSIlinearity curves

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    Noise and Interference Comparison between OTAand Cable-conduct Test

    21

    -100 -95 -90 -85 -80 -75 -70 -65 -60-102

    -100

    -98

    -96

    -94

    -92

    -90

    -88

    -86

    -84

    ML1 RSSI level (dB)

    N o i s e p o w e r

    ( d B )

    Measured the noise and interference property of the overall spheresurface when do DUT 3D pattern measurement in chamberMeasured the noise and interference property by controlling the receivedsignal power for cable-conducted caseFurther experiments and research are required on this topic

    Pool3 DUT1 noise property for OTA and cable-conduct case

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    Using Two-stage Method To Test LTE OTA Performance

    LTE MIMO OTA Throughput test system Throughput under single-cluster Umi channel model

    Throughput under multi-cluster Umi channel model

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    DUTs Ranking and Some Findings

    The performance under multi-cluster Umi and multi-cluster Uma is similarwhen the eNB side is set to un-correlated,

    The performance curves under single-cluster channel model show widerspread than that under multi-cluster channel model, which demonstratesnarrow AS channel model makes the performance test more sensitive.

    Pool1 DUT3 and Pool4 DUT1s ranking sequences are changed whenswitching from single-cluster to multi-cluster model, which demonstratesthese DUTs are sensitive to channel power angular spread

    11/6/2011Oct. 2007Labs Beijing MIMO Project Review

    Used Channel Model Ranking

    High Medium Low

    SC Umi Pool1 DUT1 Pool2 DUT1, Pool2 DUT2,

    Pool3 DUT1, Pool1 DUT3,

    Pool3 DUT2, Pool4 DUT 1

    MC Umi Pool1 DUT1, Poo1 DUT3 Pool2 DUT1, Pool2 DUT2,

    Pool3 DUT1

    Pool4 DUT1, Pool3 DUT2

    MC Uma Pool1 DUT1, Poo1 DUT3 Pool2 DUT1, Pool2 DUT2,

    Pool3 DUT1

    Pool4 DUT1, Pool3 DUT2

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    Round Robin Test Results from Other Companies

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    20

    22

    24

    26

    -111 -109 -107 -105 -103 -101 -99 -97 -95 -93 -91

    Pool1Dev1-BlueTest

    Pool1Dev1-Nokia

    Pool1Dev1-Agilent

    Pool1Dev3-BlueTest

    Pool1Dev3-Agilent

    Pool2Dev1-BlueTest

    Pool2Dev1-Nokia

    Pool2Dev1-NTTPool2Dev1-Satimo

    Pool2Dev1-Agilent

    Pool2Dev2-Bluetest

    Pool2Dev2-Nokia

    Pool2Dev2-Agilent

    Other companies curves are referred by reading out the data in the pictures in theproposals submitted to 3GPP RAN4 meeting, including proposals: R4-111718,R4-114178, R4-MIMOOTAah-0002, R4-MIMOOTAah-0005 and R4-MIMOOTAah-0017.

    Power/15KHz(dBm)

    T h r o

    u gh

    p u t ( M b p

    s )

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    Summary

    The appropriate MIMO OTA test solution depends on the test purpose

    MIMO OTA tests needs to have MIMO channel model and different MIMO OTAdiffers in the way to reproduce a specified MIMO channel model

    Agilent is supporting several MIMO OTA test methods for different test applications

    Agilent is proposing the two-stage MIMO OTA test method as a cost effectivemethod covering the stages of MIMO antenna optimization through to pre-conformance test and finally for conformance test if accepted by 3GPP RAN4 andCTIA

    The two-stage method is shown to provide comparable test results to multiple probeantenna method through various measurement campaigns

    Initial evaluation of non-intrusive (active) antenna pattern measurement shows good

    measurement accuracy The two-stage LTE MIMO OTA test results correctly rank the device antenna

    performance difference

    The two-stage method can be effectively used to identify the antenna performanceissues and provide guidance on how to optimize the design