Wcdma Hspa Case Study v52 Aug2010

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    Case study of WCDMA R99/HSPA

    for planet v5.2

    Peter Cheung

    Technical Consultant,

    Mentum HK

    10 Aug 2010

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    Summary

    Set and configure soft launch site/sectors Define subscriber setting

    equipment, service, subscriber type

    Define environment

    Create traffic map based on #sub or throughput demand Run Monte Carlo for R99 and HSDPA carriers

    Analyze Monte Carlo results # served subscriber

    Throughput per sector

    Examine unserved subscriber reasons

    Apply Monte Carlo cell load and re-run Network analysis CPICH pollution

    Area coverage % of different bearer

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    1a soft launch site/sectors group

    Group Mongkok_ wcdma (green)

    Each sector has carrier 1 and 3, both R99 + HSPA carriers

    Activate carrier 1 as R99 ONLY

    Activate carrier 3 as HSPA ONLY

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    1b configure sectors for R99 carrier

    Use max 472 OVSF for R99 only traffic for carrier 1,

    with #R99 users = 100

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    1c configure sectors for HSPA carrierUse max 472 OVSF for R99 only traffic for carrier 3 with

    max # HS-DSCH codes=10 and max # HSPA user = 2

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    2a setup R99 and HSPA bearerDefine R99 DL and UL bearer for required Eb/No at FER=xxx%

    Define HSDPA DL bearer HS-DSCH Ec/Nt

    Define HSUPA UL bearer E-DCH Ec/Nt

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    2b setup equipment

    Both HSPA equipment, where

    WCDMA-R99 MS has ALL R99 bearer but no

    HSDPA bearer

    WCDMA-data-dongel has ALL R99 bearer +HSDPA bearer

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    2c setup services2x CS services (12.2K voice and 64K data) with specified

    individual loading and DL activity factor=50%

    3x PS services (164K/128/384K data) with specified

    individual loading and DL activity factor=100%

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    2d setup subscriber typesR99 subscriber for outdoor usage for CS services with higher priority (1)

    HSPA subscriber for indoor usage for PS services with lower priority (2)

    10x scaling factor for BOTH

    subscriber type to over-spread subscriber from traffic

    map (i.e., to spread as many

    subscriber as possible)

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    3 setup environment Enter fast/slow fading margin

    map default 4x planet clutter type to clutter names from map

    e.g., disable some clutter, no indoor for water clutter

    set clutter dependent DL orthogonal % (100% = no intra-cell interference, 0% = intra issame as inter-cell interference)

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    4a Create traffic map

    Tabulate site ID/sector ID/ # of

    sub as an excel file (ie.. Traffic

    target per sector)

    Import excel file to planet

    and map column

    Import excel to operational data

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    4b Create traffic map

    Create CPICH

    best server

    Create traffic map with unit #sub/km2 and select

    CPICH best server within mongkok area

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    4c Create traffic map

    assign different weight factor per clutter class

    and generate traffic map

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    5a Run Monte Carlo

    Run MC for 2x subscriber type within

    mongkok test area, and wait for MC run toconverge within 5%

    Distribution of spread subscriber after MC

    runs converged

    after MC result is checked OK, apply cell

    loading (i.e., write traffic power % and noise rise

    back to sector config)

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    5b Examine Monte Carlo results

    Subscriber per sector/carrier examine block

    reason and # served/unserved subscriber

    compare unserved % with KPI

    CDF of # served subscriber

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    5b Examine Monte Carlo results

    Global throughput MC report for

    different service/environment

    PDF of throughput

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    5c Examine Monte Carlo results

    Sort # served subscriber (from largest to

    smallest) for 1 combination of carrier/subtype/service/environment

    Create sector display scheme to

    represent # served sub, apply to

    sector on map windows

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    6a CPICH pollution at environment

    xx and subscriber equipment xxCPICH pollution between cells (at low CPICH Ec/Io, where no dominant

    CPICH presents), typically resolve by increasing antenna downtilt

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    6b coverage % for different bearer

    Create statistics report based on HS-DSCH max achievable data rate and with

    Analysis area = mongkok_area

    Classified grid = best server grc file

    Traffic map = xxx

    Step size of data rate = 32k, 64k, 128k, 384k, 1M, 2M, 3M as different ranges

    Optional map input to add extra columns in statistics

    report (e.g., best server grc, traffic map)

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    6c coverage % for different bearer

    e.g., top 10x sector with highest coverage area %

    within polygon within 2M~3M data rate range

    e.g., area coverage % for different bearer of HS-DSCH