04 Air Interface Optimization

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    Air interface optimization

    3G RANOP RU30

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    Course Content

    KPI overview

    Performance monitoring

    Air interface optimization

    Traffic Monitoring

    Capacity Enhancement

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    At the end of the module you will be able to: 

    • Describe techniques for interference and neighbour analysis

    and interference reduction

    • Discuss techniques for coverage monitoring and enhancement

    • Understand techniques for slow fading analysis

    • Describe techniques to monitor and improve CQI

    • Describe how to improve neighbour plan with NSN Optimizer

    Tool

    Module Objectives

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Air Interface Optimization

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    Power

    (dBm)

    Ec/Io = RSCP / RSSI

    Indicates total amount of interference in a cell

    Decreases from cell centre towards cell edge

    distance

    Ec/Io

    Ec/Io

    RSCP

    RSSI

    Interference monitoring – Ec/Io

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    RSSI

    cell 1

    cell edge

    power of neighbours

    dominate

    cell centre

    power of server

    dominates

     „i“ = 0.3   „i“ = 1.0  

    cell 2

    Little i = adjacent cell interference / own cell interference

    Indicates overlap of cells due to their total DL power

    Increases from cell centre towards cell edge

    Interference monitoring – little i

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    RSCP

    cell 1

    cell edge

    neighbouring CPICH

    dominate

    cell centre

    serving CPICH

    dominates

    cell 2

    Pilot pollution = total adjacent cell RSCP / own cell RSCP

    Indicates overlap of cells due to their CPICH power

    Increases from cell centre towards cell edgeDominance of neighboring CPICH usually consequence of SHO problem

    Interference monitoring – pilot pollution

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Air Interface Optimization

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    Ec/Io indicated by the following RRC messages

    Connection request serving cell only whole cell area coveredCell update serving cell only cell edge (cell update) only

    Event 1A report all measured cells  cell edge (SHO) only

    Event 1B report all active cells cell edge (SHO) only

    Event 1C report all active cells and better neighbor cell edge (SHO) only

    Event 1E report all active cells cell edge (HHO) only

    Event 1F report all active cells cell edge (HHO) only

    Ec/Io monitoring – RRC messages

    UE BS RNC

    Connection request

    Cell update

    Event 1A…1F report 

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    New RU30 counters M1033C0…M1033C9 

    Number of connection requests falling into specific Ec/Io interval

    Updated in serving cell

    Ec/Io ≥ -2 dB

    -2 dB > Ec/Io ≥ -4 dB

    -4 dB > Ec/Io ≥ -6 dB

    -6 dB > Ec/Io ≥ -8 dB

    -8 dB > Ec/Io ≥ -10 dB

    -10 dB > Ec/Io ≥ -12 dB

    -12 dB > Ec/Io ≥ -14 dB

    -14 dB > Ec/Io ≥ -16 dB

    -16 dB > Ec/Io ≥ -18 dB

    -18 dB > Ec/Io

    Ec/Io monitoring – connection request

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    Practical example – RNC cluster

    Ec/Io monitoring – connection request

    Number of cells versus median Ec/Io

    Red = 2 GHz Green = 900 MHz 

    HHO Ec/Io

    threshold

    Typical

    target

    Somewhat lower Ec/Io

    for the 900 MHz band

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    Practical example – single cell of average performance (2 GHz)

    Ec/Io monitoring – connection request

    Number of connection requests versus Ec/Io

    HHO Ec/Io

    thresholdTypical

    targetWhole cell area

    Most calls setup under

    acceptable conditions

    Few calls setup under

    bad conditions

    Very seldom call setup

    in HHO area

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    Counters M1007C38…M1007C47 

    Number of Event 1A reports falling into specific Ec/Io interval

    Updated in best active cell

    Ec/Io ≥ -5 dB

    -5 dB > Ec/Io ≥ -10 dB

    -10 dB > Ec/Io ≥ -12 dB

    -12 dB > Ec/Io ≥ -14 dB

    -14 dB > Ec/Io ≥ -16 dB

    -16 dB > Ec/Io ≥ -18 dB

    -18 dB > Ec/Io ≥ -20 dB

    -20 dB > Ec/Io ≥ -22 dB

    -22 dB > Ec/Io ≥ -24 dB

    -24 dB > Ec/Io

    Ec/Io monitoring – event 1A report

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    Practical example – RNC cluster

    Ec/Io monitoring – event 1A report

    Number of cells versus median Ec/Io

    Red = 2 GHz Green = 900 MHz 

    HHO Ec/Io

    thresholdTypical

    target

    Somewhat lower Ec/Io

    for the 900 MHz band

    Lower Ec/Io in SHO (cell

    edge) than during RRC

    setup (whole area)

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    Practical example – single cell of average performance (2 GHz)

    Ec/Io monitoring – event 1A report

    Number of event 1A reports versus Ec/Io

    HHO Ec/Iothreshold

    Typicaltarget

    Cell edge

    Many calls in bad

    conditions

    A considerable fraction of

    calls even in HHO area   #  r  e  p  o  r   t  s

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    Ec/Io monitoring – causes for low quality

    Low

    Ec/Io

    Low

    RSCP

    Io mainly

    due to UE

    receiver

    noise

    High

    Transmitted

    Carrier

    Power

    Io mainly

    due to own

    cell

    interference

    High

    Little i

    Io mainly

    due to other

    cell

    interference

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Air Interface Optimization

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    Estimate of little I requires knowledge both of

    • Ec/Io (total interference)

     TCP (own cell interference)

    Little I monitoring not supported by NSN counters

    Requires analysis of protocol trace

    Little I monitoring - requirements

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    0.25

    0

    0.50.75

    Little I monitoring – role for capacity

    Little I indicates grade of total cell power overlap

    The higher the overlap, the lower the capacity

    Example

    16 W overload threshold

    Little I = 1.0 → throughput = 700 kbps 

    Little I = 0.5 → throughput = 1100 kbps (about 60% more) 

    1.5

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    Practical example – RNC cluster

    Little I monitoring – RRC setup

    Number of cells versus median little i

    Red = 2 GHz Green = 900 MHz 

    Typical target

    Macro cell

    Typical target

    Micro cell

    Somewhat higher little Ifor the 900 MHz band

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    Practical example – single cell of average performance (2 GHz)

    Number of connection requests versus little i

    Typical target

    Macro cell

    Typical target

    Micro cell

    Little I monitoring – RRC setup

    Whole cell area

    Most calls little effected by

    adjacent cell interference

    Few calls strongly effected

    by adjacent cell interference

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    Practical example – RNC cluster

    Median Ec/Io versus median little I

    Each point = one cell

    Little I monitoring – impact on Ec/Io

    Clear relationship

    Low Ec/Io mainly due to

    adjacent cell interference

    Not due to high DL load

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    Practical example – single cell of average performance

    Ec/Io versus little I

    Each point = one call

    Little I monitoring – impact on Ec/Io

    Clear relationshipLow Ec/Io mainly due to

    adjacent cell interference

    Not due to high DL load

    Ai I f O i i i

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Air Interface Optimization

    Pil t ll ti it i i t

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    Pilot pollution monitoring requires complete knowledge of the surroundings

    of the UE

    Event 1A report the only suitable message

    RNC informs UE about ADJS cells to be measured by measurement control

    message after

    • RRC setup

    • Active set update

    Pilot pollution monitoring – requirements

    UE BS RNC

    Event 1A report =

    ADJS cells measured by UE

    Measurement control =

    List of ADJS cells

    Pil t ll ti it i bi d i hb li t

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    Pilot pollution monitoring – combined neighbour list

    Each cell has its own ADJS list

    In SHO the ADJS lists of the individual active cells are combined together

    according the following rules

    1. Active set cells are included

    2. Neighbour cells which are common to three active set cells are included

    3. Neighbours which are common to the controlling cell and a second active set cell are

    included. (cell, other than the controlling cell, which has the highest CPICH Ec/Io)

    4. Neighbour cells which are common to two active set cells are included5. Neighbour cells which are defined for only one active set cell are included

    6. Neighbours which are defined only for the second ranked cell are included

    7. Neighbours which are defined only for the third ranked cell are included

    If the combined list exceeds the maximum number of 32 cells during any

    step then the handover control stops with the algorithm

    Pil t ll ti it i bi d i hb li t

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    Neighboured

    Not neighboured

    1

    23   4

    56

    7

    89

    UE path

    Neighboured

    Not neighboured

    1

    23   4

    56

    7

    89

    UE path

    Pilot pollution monitoring – combined neighbour list

    Because of neighbour list combining it is possible

    to measure handover activity between cells without

    ADJS relationship

    In the example ADJS relationship exists between

    cells 2-6 and 6-7, but not between 2-7

    In cell 2 cell 6 can be added to active set

    Than cell 7 can be added to active cell as well, even

    if cell 2 still is best active cell

    Pilot poll tion monitoring detected set reporting

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    RNC

    ServingBTS

    Pilot pollution monitoring – detected set reporting

    ADJScells

    Other nearbycells

    According standard operation UE measures ADJS cells only

    • Nearby cells forgotten in ADJS list will escape detection

    • Will never become active and therefore can strongly interfere with active set

    Detected set reporting

    • Force UE to measure and report all visible cells

    • Reported cell not defined as ADJS is detected cell ADJD

    • SHO to ADJD cell allowed, if no ADJS cell available

    Problems

    • High signaling load for RNC due to longer

    measurement reports

    • Unstable SHO decisions due to degraded UE

    measurement accuracy (more neighbors measured

    during same time)

    Pilot pollution monitoring NSN counters

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    Pilot pollution monitoring – NSN counters

    With the optional counters M1013, for each ADJS or ADJD cell one can evaluate

    the following properties

    • M1013C2 / M1013C3 = average Ec/Io difference active – non active cell (for all active cells)

    • M1013C4 / M1013C5 = average Ec/Io (for all reported cells)

    • M1013C6 / M1013C7 = average RSCP (for all reported cells)

    From these counters follows the overall pilot pollution

    With the optional counters M1028, for each ADJD cell one can evaluate the

    following properties

    • M1028C0 / M1028C1 = average Ec/Io (for all reported ADJD cells)

    • M1028C2 / M1028C3 = average RSCP (for all reported ADJD cells)

    cell activebest 

    i

    icell neighbor 

    cell activebest 

    i

    icell neighbor 

     Io Ec

     Io Ec

     RSCP 

     RSCP 

     pollution Pilot  _  _ 

     _  _ 

     _  _ 

     _  _ 

    /

    /

     _ 

    Pilot pollution monitoring overall results

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    Practical example – RNC cluster

    Pilot pollution monitoring – overall results

    Number of cells versus median pilot pollution

    Red = 2 GHz Green = 900 MHz 

    Typical targetin SHO

    Pilot pollution higher in

    the 900 MHz band

    In general rather high

    values, as SHO (cell

    edge) considered only

    Pilot pollution monitoring overall results

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    Practical example – single cell of average performance (2 GHz)

    Number of event 1A reports versus pilot pollution

    Pilot pollution monitoring – overall results

    Typical targetin SHO

    Cell edge

    Many calls strongly effected

    by adjacent cell interference

       #  r  e  p  o  r   t  s

    Pilot pollution monitoring impact on Ec/Io

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    Practical example – RNC cluster

    Median Ec/Io versus median pilot pollution

    Each point = one cell

    Pilot pollution monitoring – impact on Ec/Io

    Clear relationship

    Low Ec/Io mainly due to

    pilot pollution

    Not due to high DL load

    For one cells low Ec/Io

    due to low RSCP

    Pilot pollution monitoring – impact on Ec/Io

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    Practical example – single cell of average performance

    Ec/Io versus pilot pollution

    Each point = one event 1A report

    Pilot pollution monitoring – impact on Ec/Io

    Clear relationship

    Low Ec/Io mainly due to pilot pollution

    Not due to high DL load

    Some reports taken under very low RSCP

    Pilot pollution monitoring – cell matrix

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    Pilot pollution monitoring – cell matrix

    In case of high pilot pollution the interfering neighbors must be found

    Treat each event 1A report by the following way

    • Best active cell = server

    • Each other cell = neighbor

    Evaluate for each neighbor the following properties

    • N = total number of reports collected for the server

    • n = number of reports collected for specific neighbor

    • Average ∆Ec/Io = Ec/Ioserver - Ec/Ioneighbor  

    Example values for pilot pollution

    • ∆Ec/Io = 4dB (addition window) → pollution = 10-0.4  = 0.4

    • ∆Ec/Io = 6dB (drop window) → pollution = 10-0.6  = 0.25

    10/][/10 _  _    dB Io Ec

     N 

    nneighbor  pollution Pilot   

    Pilot pollution monitoring – cell matrix

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    Pilot pollution monitoring   cell matrix

    Practical example – single cell of high overall pilot pollution

    N reports

    for server

    n reports for

    neighbor

    Pilot pollution per

    neighbor

    e.g. 79 / 87 * 100.78 / 10 = 1.088

    ∆ Ec/Io perneighbor

    Goal to detect neighbors responsible for high pilot pollutionConsider for each neighbor

    How often reported ?

    With which strength relative to the server ?

    Pilot pollution monitoring – cell matrix

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    Pilot pollution monitoring   cell matrix

    Practical example – single cell of high overall pilot pollution

    In general very strong neighbors(problem over whole server area)

    Very frequently reported

    Then as strong as server or even

    stronger

    Occasionally too strongneighbors (local problem)

    Rarely reported

    But then stronger than

    server

    Cause for high pilot pollutionTwo very strong neighbors (probably their coverage area too large)

    SC 123 in the average stronger than server (pilot pollution = 1.1)

    SC 172 in the average almost as strong as server (pilot pollution = 0.7)

    Pilot pollution monitoring – cell matrix

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    Pilot pollution monitoring   cell matrix

    Practical example – single cell of high overall pilot pollution

    In general strong

    neighbors

    Frequently reported

    Then as strong as

    server or even stronger

    Cause for pilot pollution

    Several strong neighbors (probably coverage area of server  too large)SC 506 / SC 504 / SC 174 / SC 197

    All with pilot pollution = 0.2…0.4 

    In general very

    weak neighbor

    Very seldom

    reported

    Far below server

    Pilot pollution monitoring – cell matrix

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    Pilot pollution monitoring   cell matrix

    Practical example – single cell of high overall pilot pollution

    Cause of pilot pollution

    One very strong neighbor (SC 92) with pilot pollution 0.7

    Two strong neighbors (SC 89..91) with pollution = 0.2...0.4

    On the other side many unnecessary neighbors with pilot pollution = 0

    Pilot pollution monitoring – optimization flow

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    High overall

    pilot pollution

    Few very

    strong

    neighbours

    Intra-BTS

    Many not very

    strong

    neighbours

    p g p

    Inter-BTSCheck whether coverage

    area of server is too large

    Check whether coveragearea of neighbor is too large

    Check angle

    between sectorsCheck horizontal

    antenna beam

    Air Interface Optimization

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    p

    Propagation delay monitoring – limitations

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    To recognize whether a cell is too large, at least the distances of the served

    users must be known

    UL frame protocol encapsulating RRC connection request the only message

    indicating propagation delay

    The propagation delay is given with a resolution of 3 chips = 234 m

    p g y g

    UE BS RNC

    RRC connection request

    UL frame protocol

    RRC connection request encapsulated

    Propagation delay

    Propagation delay monitoring – NSN counter

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    p g y g

    Counters M1006C128…M1006C148 

    Number of connection requests falling into specific propagation delay interval

    Updated in serving cell

    The intervals are hardcoded, but depend on the setting of the parameter

    PRACHDelayRange (see next slide) 

    The parameter offers the following options

    • Set 1 up to 5 km

    • Set 2 up to 10 km

    • Set 3 up to 20 km

    • Set 4 up to 60 km

    • Set 5 up to 180 km

    Propagation delay monitoring – NSN counter

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    g y g

    Propagation delay monitoring – too large cell

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    Practical example – single cell with high pilot pollution

    Cell matrix indicates

    • No extremely strong neighbor

    • But several significant neighbors

    Number of connection requests versus propagation delay

    Distant access outside

    intended cell area

    Server itself might be too large

    Propagation delay monitoring – positioning

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    Estimate of the position of an UE requires knowledge about the distance to

    three BTS

    Two possible options exist

    • Combination of propagation delay information and propagation model

    • Three visible BTS needed only

    • But result depends on propagation model

    • Combination of Rx-Tx time difference and round trip time

    • Active set with three BTS needed

    • But result model independent

    Positioning not supported by NSN

    Requires analysis of protocol trace

    Propagation delay monitoring – positioning

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    Positioning confirms too distant

    access indicated by propagation

    delay statistics

    Probably water reflection

    Server

    Too distant

    access

    Number of connection requests per pixel

    Practical example – single cell with high pilot pollution

    Propagation delay monitoring – positioning

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    Practical example – cell appearing as strong interferer

    Number of connection requests per pixel

    Server

    Too distantaccess

    Positioning indicates too distant

    access along broad street

    Cell is interferer due to street

    canyoning effect

    Air Interface Optimization

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    Interference monitoring and reduction

    Overview

    Ec/Io

    Little I

    Pilot pollution - cell matrix

    Propagation delay - positioning

    SHO delay

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    SHO delay monitoring – idea

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    Pilot pollution can be introduced not only by too huge overlap between cells,

    but also by problems with SHO

    • UE informs RNC too late about the need for SHO

    • RNC setups new radio link too late

    • RNC cannot perform SHO because no resource available in target cell

    Addition window

    4dB difference

    CPICH 1CPICH 2

    time

    1st event 1A report e.g.

    2dB difference

    Ec/Io

    New RL setup e.g.

    1dB difference

    SHO delay monitoring – idea

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    Consider difference ∆Ec/Io between serving cell and best non active cell

    under the following conditions

    • First event 1A report sent after RRC setup (“measurement”) 

    • Last event 1A report sent before first RL setup due to SHO (“execution”) 

    Difference should be as close as possible to addition window

    • Too small according “measurement” → UE acts too late 

    • Too small according “execution” → RNC acts too late 

    SHO delay monitoring not supported by NSN counters

    Requires analysis of protocol trace

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    SHO delay monitoring – overall results

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    Practical example – RNC cluster (execution)

    Number of cells versus median 1A window

    Red = RT Green = NRT 

    Addition

    window

    RT → almost same statistic as for measurement mode 

    no further delay due to RNC processing

    NRT → statistic clearly shifted to even smaller 1A window 

    further delay due to RNC processing

    SHO delay monitoring – impact on pilot pollution

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    Practical example – single cell of average performance

    Pilot pollution versus 1A window

    Each point = one event 1A report

    High pilot pollution

    in case of too late

    SHO process

    Addition

    window

    RRC release

    margin

    Neighbor

    equals server

    1A reporting although addition

    window not fulfilled yet

    SHO delay monitoring – impact on Ec/Io

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    Practical example – single cell of average performance

    Ec/Io versus 1A window

    Each point = one event 1A report

    Very low quality in

    case of too late SHO

    process

    1A reporting although addition

    window not fulfilled yet

    Some reports taken under very

    low RSCP

    Addition

    windowRRC release

    margin

    Neighbor

    equals server

    SHO delay monitoring – event 1B

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    Not only event 1A, but also event 1B related SHO procedure might be done

    too late

    Unwanted consumption of capacity, as bad active cell kept too much time in

    active set• UE informs RNC too late about the need to drop bad active cell

    • RNC deletes radio link too late

    Drop window

    6dB difference

    CPICH 1

    CPICH 2

    time

    1st event 1B report e.g.

    8dB difference

    Ec/Io RL deletion e.g.

    9dB difference

    SHO delay monitoring – event 1B

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    Consider difference ∆Ec/Io between best and worst active cell under the

    following conditions

    • First event 1B report sent after RRC setup (“measurement”) 

    • Last event 1B report sent before first RL deletion due to drop (“execution”) 

    Difference should be as close as possible to drop window

    • Too large according “measurement” → UE acts too late 

    • Too large according “execution” → RNC acts too late 

    SHO delay monitoring again not supported by NSN counters

    Requires analysis of protocol trace

    P ti l l RNC l t ( t)

    SHO delay monitoring – overall results event 1B

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    Practical example – RNC cluster (measurement)

    Number of cells versus median 1B window

    Red = RT Green = NRT 

    Drop

    window

    RT → 1B window usually 8 to 9 dB 

    NRT → 1B window usually 7 to 9 dB 

    UE in general needs too much time to inform

    RNC about SHO

    In principle SHO process could be speed up by

    somewhat lower drop window (5 to 5.5 dB)

    But contradicts requirements for event 1A !!

    Sometimes 1B reporting

    although drop window

    not fulfilled yet

    P ti l l RNC l t ( ti )

    SHO delay monitoring – overall results event 1B

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    Practical example – RNC cluster (execution)

    Number of cells versus median 1B window

    Red = RT Green = NRT 

    Statistic slightly shifted to

    bigger 1B window

    Small further delay due to

    RNC processing

    Drop

    window

    Sometimes 1B execution

    although drop window

    not fulfilled yet

    Interference monitoring and reduction

    Air Interface Optimization

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    Interference monitoring and reduction

    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    RSCP indicated by the following RRC messages

    RSCP monitoring – RRC messages

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    RSCP indicated by the following RRC messages

    Connection request serving cell only whole cell area covered

    Cell update serving cell only cell edge (cell update) only

    Event 1A report all measured cells  cell edge (SHO) only

    Event 1B report all active cells cell edge (SHO) only

    Event 1C report all active cells and better neighbor cell edge (SHO) only

    Event 1E report all active cells cell edge (HHO) only

    Event 1F report all active cells cell edge (HHO) only

    RSCP reporting by connection request optional feature only

    UE BS RNC

    Connection request

    Cell updateEvent 1A…1F report 

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    RSCP monitoring in SHO not supported by NSN counters

    RSCP monitoring – event 1A report

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    RSCP monitoring in SHO not supported by NSN counters

    Requires analysis of protocol trace

    Practical example – RNC cluster

    RSCP monitoring – event 1A report

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    Practical example – RNC cluster

    Number of cells versus median RSCP

    Red = 2 GHz Green = 900 MHz 

    HHO RSCP

    threshold

    Typical

    target RT

    Clearly better coverage in

    900 MHz band

    Too low coverage in 2 GHz

    band especially for NRT

    40W cells with 4W CPICH

    required

    Typical

    target NRT

    Practical example – single cell of average performance (2 GHz)

    RSCP monitoring – event 1A report

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    Practical example   single cell of average performance (2 GHz)

    Number of event 1A reports versus RSCP

    HHO RSCP

    threshold

    Typical

    target RT

    Typical

    target NRT

       #

      r  e  p  o  r   t  s

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    Practical example – RNC cluster

    RSCP monitoring – impact on Ec/Io

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    p

    Median Ec/Io versus median RSCP – 900 MHz band

    Each point = one cell

    Lower Ec/Io at same coverage in

    comparison to 2 GHz band

    In 900 MHz band higher adjacent

    cell interference

    Practical example – single cell of average performance

    RSCP monitoring – impact on Ec/Io

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    p g g p

    Ec/Io versus RSCP

    Each point = one event 1A report

    Ec/Io rather stable downto coverage of -100 dBm

    Than rapid drop with

    decreasing coverage

    Interference monitoring and reduction

    Air Interface Optimization

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    g

    Coverage monitoring and enhancement

    Slow fading analysisCQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Both Ec/Io and RSCP undergo certain scatter due to shadowing

    Slow fading analysis - motivation

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    Must be taken into account when specifying thresholds for opposite procedures e.g.

    • Event 1A (add cell) / 1B (drop cell)

    • Event 1F (enter compressed mode) / 1E (leave compressed mode)

    • Cell re-selection or ISHO to 2G / to 3G

    If thresholds for such procedures are to close together, ping-pong mobility and thus

    unwanted signaling occurs

    NSN counter do not give scatter of Ec/Io and RSCP directlyMust be determined manually from Ec/Io and RSCP distributions of each cell

    Practical example – RNC cluster

    Slow fading analysis – scatter of Ec/Io

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    Number of cells versus scatter of Ec/Io (RRC connection request)

    Red = 2 GHz Green = 900 MHz 

    Scatter of Ec/Io often larger

    than 2 dB

    Risk of ping-pong 1A/1B

    Scatter of Ec/Io rarely larger

    than 3 dB

    Little risk of ping-pong 1F/1E

    Default difference

    Drop window – 

    addition window

    Default difference

    HHO Ec/Io threshold – 

    HHO Ec/Io cancel

    Practical example – RNC cluster

    Slow fading analysis – scatter of Ec/Io

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    Number of cells versus scatter of Ec/Io (Event 1A report)

    Red = 2 GHz Green = 900 MHz 

    Under SHO conditions more scatter

    of Ec/Io than during RRC setup

    More shadowing at cell edge

    Default difference

    Drop window – 

    addition window

    Default difference

    HHO Ec/Io threshold – 

    HHO Ec/Io cancel

    Practical example – RNC cluster

    Slow fading analysis – scatter of RSCP

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    Number of cells versus scatter of RSCP (Event 1A report)

    Red = 2 GHz Green = 900 MHz 

    Default difference

    HHO Ec/Io threshold – 

    HHO Ec/Io cancel

    Scatter of RSCP usually much

    larger than 3 dB

    High risk of ping-pong 1F/1E

    Interference monitoring and reduction

    Air Interface Optimization

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    Coverage monitoring and enhancement

    Slow fading analysisCQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

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    CQI monitoring - motivation

    According NSN CQI reported every 4ms by UE

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    Reported CQI compensated by Node B on the basis of

    • Actual HS-PDSCH power

    • Number of ACK and NACK

    Node B decides about transport block size for next sub-frame

    • Modulation (QPSK, 16QAM, 64QAM)

    • Coding rate (1:6 – 1:1)

    • Number of codes (1 – 15)

    CQI (corrected)

    CQI monitoring - motivation

    The mapping between CQI and transport format is hardcoded by 3GPP in

    dependence of the UE category

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    16 3576 5 16-QAM 0

    17 4200 5 16-QAM 0

    18 4672 5 16-QAM 0

    19 5296 5 16-QAM 0

    20 5896 5 16-QAM 0

    21 6568 5 16-QAM 0

    22 7184 5 16-QAM 0

    23 9736 7 16-QAM 0

    24 11432 8 16-QAM 0

    25 14424 10 16-QAM 0

    26 15776 10 64-QAM 0

    27 21768 12 64-QAM 0

    28 26504 13 64-QAM 0

    29 32264 14 64-QAM 0

    30 32264 14 64-QAM -2

    dependence of the UE category

    CQI requirements

    • ≥ 13 for data rate > 1 Mbit/s 

    • ≥ 16 for 16QAM 

    • ≥ 26 for 64QAM 

    1 136 1 QPSK 0

    2 176 1 QPSK 0

    3 232 1 QPSK 0

    4 320 1 QPSK 0

    5 376 1 QPSK 0

    6 464 1 QPSK 0

    7 648 2 QPSK 0

    8 792 2 QPSK 0

    9 928 2 QPSK 0

    10 1264 3 QPSK 0

    11 1488 3 QPSK 0

    12 1744 3 QPSK 0

    13 2288 4 QPSK 0

    14 2592 4 QPSK 0

    15 3328 5 QPSK 0

    Mapping CQI – transport format

    for UE category 13

    CQI monitoring – reported CQI

    WBTS counters M5000C8…M5000C38 

    N b f i di i ifi CQI

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    Number of reports indicating specific CQI

    M5000C8 number of reports indicating CQI = 0

    M5000C9 number of reports indicating CQI = 1

    … 

    M5000C38 number of reports indicating CQI = 30

    Counters consider CQI as reported by UE, not CQI corrected by Node B

    CQI monitoring – reported CQI

    Practical example – CQI distribution for two cells

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    QPSK 16QAM 64QAM

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    CQI monitoring – transport format

    No counters for compensated CQI available yet

    Just WBTS counters for transport format selected by Node B

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    Just WBTS counters for transport format selected by Node B

    M5000C49…M5000C53 number of packets with 1…5 codes and QPSK 

    M5000C54…M5000C58 number of packets with 1…5 codes and 16QAM 

    M5000C86…M5000C95 number of packets with 6…15 codes and QPSK 

    M5000C96…M5000C105 number of packets with 6…15 codes and 16QAM 

    M5000C283 total number of packets with 64QAM (no subdivision in

    dependence on number of codes)

    CQI monitoring – transport format

    Practical example – transport format distribution for two cells

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    QPSK

    16QAM

    Cell with low CQI

    Typically 5 codes allocated

    Cell with high CQI

    Typically 10 codes allocated

    CQI monitoring – optimization flow

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    Low CQI

    Low Ec/Io

    Low

    RSCP ?

    Low HSDPA

    power

    High adjacent

    cell

    interference ?

    High R99

    traffic ?

    Wrong power

    settings ?

    (next chapter)

    Interference monitoring and reduction

    C it i d h t

    Air Interface Optimization

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    Coverage monitoring and enhancement

    Slow fading analysis

    CQI monitoring and improvement (HSDPA)

    NSN Optimizer Tool (appendix)

    Adjacency Based Measurements Counters

    NetAct tool (Optimiser 2.0)

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    Adjacency Based Measurements Counters

    M1013 Autodef SHO

    • M1013C0 Number of Intra Frequency SHO attempts – Counter is Updated when SRNC starts a Branch Addition or Branch Replacement procedure.

    • M1013C1 Number of completed Intra Frequency SHO

     – Counter is updated when SRNC successfully ends the Branch Addition or Branch Replacementprocedure.

    M1014 Autodef IFHO

    • M1014C0 Number of Inter Frequency HHO attempts

     – Counter is updated when SRNC starts inter-frequency HHO

    • M1014C1 Number of completed Inter Frequency HHO

     – Counter is updated when SRNC successfully ends inter-frequency HHO

    M1015 Autodef ISHO

    • M1015C0 Number of Inter System HHO attempts

     – Counter is updated when SRNC starts inter-system HHO

    • M1015C1 Number of completed Inter System HHO – Counter is update when SRNC receives RANAP:IU RELEASE COMMAND from core network after

    successful Inter System HHO

    For each measurements (SHO, IFHO

    NetAct tool (Optimiser 2.0)

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    For each measurements (SHO, IFHO

    and ISHO) Statistic show:

    •  # of HO attempts

    •  # of HO completed (successful)

    to source and target cell objects

    Measurement is carried out in SRNC

    HO completion is considered

    successful if the SRNC during the

    handover decision does not detectany errors (errors in the source RNC

    side or failure messages fromRRC/Iu/Iur/Iub interfaces)

    Object identifiers for M1013 and M1014

    Source-RNC/Source-CID

    Target-RNC/Target-CID

    MCC/MNC

    Object identifiers for M1015 (ISHO)

    Source-RNC/Source-CID

    GSM-LAC/GSM-CID

    MCC/MNC

    Adjacency Based Measurements Counters

    Automated Adjacency Optimisation for 3G in Optimizer 2.0

    NetAct tool (Optimiser 2.0)

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     Accurate and efficient process for optimizingoperational WCDMA cell adjacencies.

    Measurem ent based opt imizat ion

    • Current adjacency status analysis

    • Deletion of unused adjacenciesbased on KPIs

     –

    HO attempts, HO success•  Adjacency candidate identification,

    activation and measurement

     – Interfering intra-frequency cells

     – Cell pair Ec/No difference from WCDMA

     – Neighbour cell signal strength from GSM

    • Final adjacency list optimization

    • Scrambling code re-allocation

    Full visibility and control to the user

    Automated Adjacency Optimisation for 3G in Optimizer 2.0

    NetAct tool (Optimiser 2.0)

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    Creating new adjacencies

    NetAct tool (Optimiser 2.0)

     A fast way to identify missing intra-frequency

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    adjacencies

    • Interference measurements colleted from

    RNC

    • New adjacencies can be created based onthat statistics

    Rotation method used to achieve the optimallists

    for other adjacency types

    • Optimizer creates adjacency candidates

    • Candidates are downloaded to network andmeasured

     – Statistics collected directly from RNC

    Cell pair Ec/No difference

    Successful BSIC verifications & BSIC verificationtime

    • Final adjacency list is generated

    Creating ADJx based on PM data (AutoDef)

    NetAct tool (Optimiser 2.0)

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    Optimizer will show adjacency based SHO amounts forundefined neighbours. Purpose is to search all ADJS and ADJG new neighbours which are within certain max distance

    • Example 1-5 km in urban area and 4-10 km outside urbanarea. 

     After that only those will be selected which have enoughSHO/ISHO attempts.The selected neighbours could beprovisioned straight away to the network

    How to create Missing ADJx based on PM data-1

    1. Select area from the map

    and start the ADJ Optimization tool

    NetAct tool (Optimiser 2.0)

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    and start the ADJ Optimization tool

    2. Select ADJG, ADJS and ADJW types

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    How to create Missing ADJx based on PM data-3

    6. Save plan from here with

    any name

    NetAct tool (Optimiser 2.0)

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    4. Purpose is to search all ADJS and ADJG new

    neighbours which are within certain max distance like

    1-5 km in urban area and 4-10 km outside urban area.

     After that only those will be selected which haveenough SHO/ISHO attempts.

    5. Start from here

    a y a e

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    How to create Missing ADJx based on PM data-5 8. Select the whole week

    or one day for PM data analysis

    NetAct tool (Optimiser 2.0)

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    10. Update the list of

    Neighbours from here

    9. Select the right profile tobrowser (ADJG, ADJS)

    11. Sort according to

    the PM attempts

    How to create Missing ADJx based on PM data-6

    12. See the ADJ on top of the map

    NetAct tool (Optimiser 2.0)

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    13. Provision the selected neighbors to the network

    Note ! These neighbors are defined only for one way direction.

    See next slides how to make those bi-directionally (Refreshactual operation with RAC)

    How to create Missing ADJx based on PM data-7

    14. Open the CM data exchange

    NetAct tool (Optimiser 2.0)

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    under the main window

    15. Select refresh actual and wait

    Until the data is updated

    16. Open the adjacency optimization without selecting any

    tabs from Deletion or Creation, just to find just created one way ADJx

    How to create Missing ADJx based on PM data-8

    17 Save the plan and list the planned elements

    NetAct tool (Optimiser 2.0)

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    17. Save the plan and list the planned elements

    18. You can see now the ADJx neigbours which

    can now provisioned to the network

    Creating ADJx based on DSR measurements (ICSU)NetAct tool (Optimiser 2.0)

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    Detected set measurements are not coming fromundefined neighbours (based on ICSU logs)

     Aim is to find source of interference

    • cell having many DSR results but no SHOattempts (with neighbour list combination list) 

    Solutions

    •  Add found cell to the neighbour

    • Down tilt to decrease the interference

    DSR measurements are suitable also for ADJGneighbours

    DSR activation

    Creating ADJx based on DSR measurements (ICSU)NetAct tool (Optimiser 2.0)

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    When DSR is not activated, UE monitors only cells in its NCL (either read fromBCCH or sent from RNC in SHO case).

    When DSR IS activated, UE scans ALL scrambling codes in same frequencyband and if cells are found that fulfil certain criteria, UE reports this/thesecell(s) as detected cells.

    criteria for detection is that UE has to be able to detect if Ec/N0 is greater than

    -18 (or -20???) dBfor a DSR to be triggered, detected cell/s must fulfill "normal" HO criteria, i.e.for example, are within the reported range relative to P-CPICH of strongest AScell.

    Details of activation :MML command that is sent to RNC that sets some flagactive and RNC orders UE to measure and report. It can be done by HITmacro, but Optimizer is not (supposed to) using them but same commandsthat are in HIT macros are sent directly to RNC.

    SHO Success Ratio RNC2 border with RNC3 Data before parameter changeSHO success at RNC border

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    SHO success at RNC borderSHO Success Ratio RNC2 border with RNC3 Data after parameter change

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    /