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    Introduction to Huawei

    UMTS Radio Network Dimensioning

    (RND)

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    Part 1. Context, Concepts and

    Rationale

    Part 2. Introduction to Huawei RNDtool

    Agenda

    Part 3. RND tool: Example and

    Exercise

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    Context

    Huawei C3Q principle of Radio Network Planning

    (RNP)

    Coverage: Largest coverage for profitable services

    Capacity: Highest capacity with limited resources

    Cost: Lowest total cost of ownership (CAPEX + OPEX)

    Quality: Best quality for key services

    Coverage and Capacity analysis are the core of

    UMTS radio network planning Our goal is to balance customers requirements of coverage,

    capacity, cost and quality.

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    Context (2)

    This presentation is focused on the rationaleand

    toolof Radio Network Dimensioning

    Perform radio networkdimensioning

    Conduct nominal planning

    Conduct Cell planning

    Identify RNP goalsOur focus

    is h ere!

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    Concepts

    Coverage analysis

    The major activity is RLB(radio l ink budget) that calculates the

    maximum allowed pathloss, and thus cell range can be derived

    using a proper propagation model

    Capacity DimensioningTranslate traffic model, subscriber density and behaviours into

    capacity requirements

    Coverage and Capacity: a trade-offWCDMA system: an intrinsically interference-limited system.

    Loading analysisserves as the linkage between coverage and

    capacity analyses

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    Rationale

    Rationale of RLB and capacity dimensioning

    1. Scenarios of analysis

    2. L ink budget model and key parameters

    WCDMA specif ic parameters

    3. Capacity dimensioning

    4. I terative coverage and capacity planning

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    1. What are the scenarios of analysis in Radio

    Network Dimensioning?

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    Scenarios of analysis

    Morphology

    Generally, planned areas are classified into five types:

    Dense Urban

    Urban

    Suburban

    Rural Area

    Highway

    The parameters that are contingent on morphology type

    include:

    Mean penetration loss Standard deviation of log-normal fading

    Path loss exponent and other factors in propagation model

    Etc.

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    Scenarios of analysis (3)

    Channel model

    The channel model defines the number of signal path,relative path loss and delay variance to abstract the wireless

    channel.

    According to specifications of 3GPP R4(TR25.943 V4.0.0),

    typical channel models are used as following:

    Static: no multipath

    TU3: typical urban area, pedestrian, 3km/h

    TU50: typical urban area, vehicle, 50km/h

    TU120: typical urban area, vehicle,

    120km/hRA120: rural area, vehicle, 120km/h

    RA250: rural area, vehicle, 250km/h

    HT120: high terrain, vehicle, 120km/h

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    Scenarios of analysis (4)

    Channel model (Cont.)

    Values of some parameters vary with the channel inthe wireless environment. The variances are acquired

    generally by the link simulation.

    Link performance: required Eb/No in both channels

    Downlink interference margin: due to the variance of

    orthogonal factor in different channel environments

    Fast fading margin (Power control headroom): due to

    different link performance

    Soft handover gain over fast fading margin: due todifferent link performance

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    Indoor coverageWhether indoor coverage is available depends on the

    intention of the operator.

    The penetration loss and the standard deviation of log-

    normal fading are subject to the requirement for indoor

    coverage.

    Targeted service (for seamless coverage)To identify the kind of service for seamless coverage, the

    coverage planning strategy needs to be aligned with the

    operators business strategy.

    Scenarios of analysis (5)

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    2. What are the key parameters in WCDMA

    radio link budget?

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    TX

    DUPLEXER FEEDER

    RX

    Pout_BS

    Lc_BSLf_BS

    Ga_BSNodeB

    TX

    RX

    Pout_U

    E

    Ga_UE

    UE

    DUPLEXER

    PL_D

    LPL_

    UL

    SLOW FADING

    MARGIN

    PENETRATION

    LOSSBODY LOSS

    Radio Link Budgetbasic model

    The basic RLB model in a radio

    system

    Rationale of RLB

    The link path between

    transmitter and

    receiver is broke down

    into components of

    analysis.

    Then, coverage

    capability of a radio

    system is the collective

    effects of thesecomponents.

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    Key parameters in RLB

    1. Maximum transmission

    power of TCH

    2. Cable loss & body loss

    3. Antenna gain

    4. EIRP (Equivalent isotropic

    Radiation Power)

    5. Noise figure

    6. Required Eb/No

    7. Sensitivity of receiver

    Margin of background noise

    Minimum required signal strength

    Penetration loss

    Log-normal fading margin

    Radio propagation model

    Interference margin

    Fast Fading Margin

    Soft H andover Gain

    WCDMA

    specific

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    What are the WCDMA specif ic parameters

    in RLB?

    Required Eb/N0

    Interference margin

    Fast fading margin

    Soft handover gain

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    Required Eb/N0

    Needed by the user service to maintain the link

    with acceptable quality

    Downlink and uplink Eb/N0

    Output from Link-level Simulation accordingto the following factors:

    Channel type

    Mobile speed

    QoS

    Receiver implementation

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    Interference Margin

    The interference margin is used to account for theincrease in the interference level within the cell

    due to other users.

    It introduces a way into RLB to account for theloading of the cell. More loading is allowed in a

    cell, the larger margin is required, which induces

    smaller cell range.

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    Uplink Loading

    The loading factor can be defined as:

    Where Rjis the bit rate of the j-th link in the cell

    jis the user activity factor

    i is the other to own cell interference ratio

    EbN0is the target for the j-th link in the cell

    W is the chip rate

    N

    j

    jjjb

    UL

    vR

    W

    NE

    i1

    0

    1

    )/(

    11

    11

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    Uplink Interference Margin

    The uplink interference margin should be

    equal to the maximum planned noise rise in

    BS receiver:

    UL

    UL NoiseRiseIM

    1

    1

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    Downlink Loading

    In the Downlink the loading factor can be

    expressed as

    Where jis the orthogonality factor in the downlink

    Rjis the bit rate of the j-th link in the cell

    jis the user activity factorijis the other to own cell interference ratio of j-th link

    Eb/N0is the target for the j-th link in the cell

    W is the chip rate

    N

    jjj

    jjjb

    DL i

    vR

    W

    NE

    1

    0

    )1(1

    )/(

    11

    1

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    Downlink Interference Margin

    The downlink interference margin should be equal to

    the planned maximum noise rise in the receiver ofUE on cell edge. For a user j on cell edge:

    DL

    N

    n j

    n

    n

    nbn

    Nj

    CCH

    jj

    N

    jTXBSjj

    N

    OCSCN

    N

    Totalj

    CL

    CL

    RW

    NEv

    PCL

    P

    i

    P

    CLPi

    P

    IIPP

    jINoiseRise

    1

    ]/

    )/([

    )(1

    /)(1

    )(

    1

    0

    _

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    Downlink Interference Margin (2)

    Where jis the orthogonality factor in the downlink

    Rjis the bit rate of the j-th link in the cell

    jis the user activity factor

    ijis the other to own cell interference ratio

    Eb/N0is the target for the j-th link in the cellW is the chip rate

    PCCH is the common channel power transmitted by the BS

    PN is the noise floor of UE

    CLj is the coupling loss, which is the loss between the antenna

    connectors of BS cabinet and UE receiver for j-th link

    CableLossennaeGainsOfAntnLossPenetratioBodyLossPathLossCL

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    Downlink Interference Margin (3)

    CLSIRNCL

    RW

    NEvENCL

    RW

    NEv n

    n

    nbnn

    N

    n n

    nbn

    ]}

    /

    )/({]

    /

    )/([ 0

    1

    0

    )()]}1(/

    )/({[

    )]1(/

    )/([)1(

    1

    )/(

    11

    1

    0

    1

    0

    1

    0

    iSIRNiRW

    NEvEN

    iRW

    NEvi

    vR

    W

    NE

    jj

    j

    jb

    n

    N

    jjj

    j

    jb

    n

    N

    jjj

    jjjb

    DL

    Assuming there are enough users in the cell and

    demodulation performance is irrelevant to location,such approximation can be supposed:

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    Downlink Interference Margin (4)

    So the downlink interference margin can be written as:

    )/

    (1

    )(1

    1

    ]/

    )/([

    )(1

    }1

    ]/

    )/([

    )(1{

    1

    0

    1

    0

    j

    DL

    N

    jCCH

    DL

    jj

    DL

    N

    n j

    n

    n

    nbn

    Nj

    CCH

    jj

    DL

    N

    n j

    n

    n

    nbn

    Nj

    CCH

    jj

    jDL

    CL

    CL

    iP

    CLPi

    CL

    CL

    RW

    NEv

    PCL

    P

    i

    CL

    CL

    RW

    NEv

    PCL

    P

    iE

    NoiseRiseIM

    Note: mean values without subscript j refer to averaging over all users in

    the cell; mean values with subscript j refer to averaging over users on the

    cell edge.

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    Interference Margin vs. Load Factor

    An example of downlink interference margin vs.

    downlink loading with balanced links is depictedas:

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    Total Transmission Power vs. Load Factor

    In the downlink, it is important to estimate the total

    amount of BS transmission power required.

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    Fast Fading Margin

    In the link budget, the required EbNo is estimated by the link-

    level simulation with the assumption of perfect power control.

    The assumption will be invalid If a terminal transmits with

    maximum power on the cell edge and subsequently suffers

    from fast fading. It is because the terminal cannot respond to

    the power increase command issued by power control

    algorithm from RNC.

    The fast fading margin, or PC headroom, is included to account

    for the additional headroom needed in the mobile station

    transmission power to maintain adequate power.

    Consequently, fast fading margin can be calculated as:

    perfectPCEbNonoPCEbNoheadroomPC ___

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    Soft Handover Gain

    Soft handover gain accounts for the diversity

    gain achieved during soft handover conditions.

    In link budget, we divide it into two parts as

    follows:

    SHO gain over fast fading (Macro Diversity CombiningGain)

    Reduce the requirement for EbNo on the cell edge

    Estimated in different circumstances by the link-level

    simulation

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    Soft Handover Gain (2)

    SHO gain over slow fading (Multicell Gain)

    More uncorrelated paths available to reduce the outage

    probability

    The outage probability on the cell edge in SHO area is

    estimated by:

    db

    aQeR

    SHOR

    OutageSHO

    2_ )]([2

    1)(Pr

    2

    The gain can be resulted from:

    SHORSingleRG __

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    3. What is the rationale of WCDMA air

    inter face Capacity dimensioning?

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    Capacity dimensioning: purpose

    Estimate Supported Subscribers

    Cell Resource

    Mixed Services

    Service Traffic

    Respective GoS

    Estimate Site Number and Configuration

    Site number

    CE number

    E1 per site

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    Capacity dimensioning: difficulties

    Cell edge is continuously moving accordingto the traffic load

    Mixed services: multiple data rates

    Respective GoS Requirement

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    Capacity dimensioning: rationale

    WCDMA capacity is determined by both uplink and

    downlink maximum allowed interference which isquantitated by loading analyses.

    Uplink load equation

    C

    N/E

    data/voice

    R

    WAob

    1010

    1

    1

    Downlink load equation

    C

    N/E

    data/voice

    R

    WA

    ob

    1010

    1

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    Capacity analysis: rationale (2)

    Service model and subscriber behaviours

    collectively determine the traffic model which

    ultimately determines the capacity requirements.

    Service modeling

    Subscriber behaviours

    Traffic

    modeling

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    Capacity dimensioning method

    Campbells Theorem

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    Campbell Theorem

    Virtual Service

    Video Phone Call

    Voice Call

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    Campbell Theorem (2)

    Multi services one Virtual ServiceVirtual Service Load

    Virtual Service Traffic

    One Service CalculationErlang B Formula

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    Campbell Theorem (4)

    Virtual service channels

    Total Traffic: using Erlang B Formula

    virtual

    UL

    AfN

    .1

    UL

    fM

    AN

    virtualDL

    c

    .1.1

    DL

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    4. What is iterative coverage and capacity

    planning?

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    Iterative nature of Dimensioning

    DU ??km^2U ?? km^2

    SU ??km^2

    RA ??km^2HW ??km

    Geographical information

    DU km2

    U km2

    SU km2

    RA km2

    HW km

    Adjust

    UL loadingDownwards

    UL cell range

    with specific

    UL loading

    Service-specific Information

    Service Type, Proportion

    Service DensityService Forecast

    DL Loading

    in specific

    circumstances

    Cell Range

    Y (Capacity-limited)

    COST231-HATA,...

    Applicable Propagation Model

    COST231-HATA, ...

    If the upper limitof configuration

    be reached

    Large than

    Less than (Coverage-limited)

    Shrink the Cell

    Cell Loading vs.Maximum Allowable Value

    N

    Add the amount of configuration

    (sectorization, carriers,...)

    Equal to

    SiteConfiguration

    Cell Range

    Number of Site

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    i f i f

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    Basic functions provided by Huawei RND tool

    Basic functions of RND tool

    Radio link budget (UL/DL)

    Capacity dimensioning (UL/DL)

    Iterative capacity and coverage planning

    CE dimensioning

    Th i d f RND l

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    The input and output of RND tool

    Coverage related: Target Area to be

    covered

    Propagation model

    Capacity related:

    Traffic type/model Traffic distribution

    Forecast of growth

    GoS & QoS

    Coverage probability

    Blocking rate

    Equipment related

    TMA

    Three sector

    Others

    Scale of network Number of sites

    Site configuration

    Sectorisation

    Carrier number

    Cost Cost of Node B

    & RNC

    equipment

    Input Output

    Link Budget

    Capacity

    Estimation

    Key Processes

    Th i d A l k t RND t l

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    Three windows: A look at RND tool

    Output

    window:

    Dimensioning

    result

    Input window 1:common

    parameters

    Input window 2:

    Advanced

    parameters

    C t i d

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    Common parameter window

    Input windowthe common parameters (which

    change according to specific project)

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    Please group the common parameters into:

    Coveragerelated parameters

    Capacity related parameters Qualityrelated parameters

    Equipmentrelated parameters

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    Advanced parameter: the propagation

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    p p p gmodel selection

    Options of Propagation Model:

    COST231-HATA SPM model

    ASSET Standard Macrocell

    Setting the coefficients

    of SPM model: These coefficients derive

    from propagation model

    calibration.

    Any input should be

    based on model

    calibration value.

    Di i i t t

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    Dimensioning output

    Making sense of the dimensioning results

    the output window includes results of:

    Link budget result

    Network coverage dimension Network iteration dimension

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    N t k di i

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    Network coverage dimension

    Network coverage

    dimension result

    Network iteration dimension

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    Network iteration dimension

    Network iteration

    dimension result

    Agenda

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    Part 1. Context, Concepts and

    Rationale

    Part 2. Introduction to Huawei RNDtool

    Agenda

    Part 3. RND tool: Example and

    Exercise

    Example

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    Example

    Our customer specifies the coverage and

    capacity requirements in the following

    document.

    Interpret the requirements

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    Interpret the requirements

    Coverage relatedrequirements

    1. Continuous coverage service is?

    2. Coverage area is?

    3. Propagation model specified?

    4. Other information?

    Capacity related

    requirements

    1. Subscriber number?

    2. Service penetration rate?

    3. Service model?4. Traffic distribution and throughput

    per user?

    5. Other information?

    Quality related

    requirements

    1. Coverage probability

    2. GOS?

    3. Indoor coverage required?

    4. Other information?

    Interpret the requirements (2)

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    Coverage related

    requirements

    Already understood by RND

    Capacity related

    requirements

    Traffic modeling data needs translation in

    order for RND to understand.

    Quality related

    requirements

    Already understood by RND

    Raw data of customer requirements need to be

    translated into RND-readable parameters.

    Interpret the requirements (2)

    Dimensioning results

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    Dimensioning results

    Cell range (radius)

    Site number

    Site configuration

    CE number (UL/DL)

    Exercise

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    Exercise

    Operator name: Br il liant Mobil ity

    Brilliant Mobilitys coverage and capacity requirements

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