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A955 V6.1.1

THE UMTS MODULE
1. UMTS Objectives 2. UMTS Concepts 3. A955 UMTS Modelling 4. A955 Simulation 5. A955 predictions 6. Neighbour allocation 7. Scrambling code allocation 8. GSM/TDMA – UMTS co-planning

A955 V6.1.1

1. UMTS OBJECTIVES
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GENERAL UMTS OBJECTIVES SERVICES - COVERAGE – MOBILITY

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1. UMTS OBJECTIVES

A955 V6.1.1

GENERAL UMTS OBJECTIVES
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High flexibility to introduce new services with variable data rates Optimised spectrum efficiency Full coverage and mobility for 144 kbps, eventually 384 kbps rate s UTRA Wideband-CDMA - country wide Limited coverage and mobility for 2 Mbps rate s UTRA Time-Division CDMA - locally

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1. UMTS OBJECTIVES

A955 V6.1.1

SERVICES - COVERAGE - MOBILITY
Rate

2 Mbps

1. UMTS OBJECTIVES

144 kbps

Fixed / Low mobility

Wide area / High mobility

UMTS user bit rate versus coverage and mobility

A955 V6.1.1

2. UMTS CONCEPTS
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THE UMTS PLANNING CHALLENGE CPICH - COMMON PILOT CHANNEL SOFT HANDOFF ACTIVE SET RAKE COMBINATION WCDMA RECEPTION PARAMETER POWER CONTROL OVSF CODES MANAGEMENT TRANSMITTER LOADING

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2. UMTS CONCEPTS

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A955 V6.1.1

THE UMTS PLANNING CHALLENGE
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Multiservice + multi-rate + high-rate Wideband Code Division Multiple Access technique s All terminals share the same frequency Mutual degradation of radio links defeated by sophisticated power control Coverage linked to traffic & services s Cell breathing

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2. UMTS CONCEPTS

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REALISTIC UMTS PLANNING REQUIRES SIMULATION OF TRAFFIC AND POWER CONTROL!

A955 V6.1.1

CPICH - COMMON PILOT CHANNEL
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CPICH power equivalent to BCCH carrier power in GSM Always on air Approx. 5%..20% of the total carrier power (e.g. 1..4 Watts of 20W (30..36dBm of 43 dBm) Pilot quality
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2. UMTS CONCEPTS

Ec/Io parameter Ec: Energy per chip (pilot signal) Io: Downlink total noise spectral density Measured by mobile to find its best server and active set

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A955 V6.1.1

SOFT HANDOFF
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UMTS handoff strategy different from GSM hard handoff
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Mobile in communication with several base stations (macro-diversity) – Mobile Active Set Different types of soft handoff – Soft, softer, – Soft-soft, softer-soft, soft-softer

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2. UMTS CONCEPTS

A955 V6.1.1

ACTIVE SET
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Set of transmitters connected to mobile

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Active set determination
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Best pilot (server) – Minimum Ec/Io : Pilot quality threshold – Highest Ec/Io Admission of other transmitters in Active Set – Handover margin : Active Set threshold – Ec/Io within a margin of best server

2. UMTS CONCEPTS

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A955 V6.1.1

RAKE COMBINATION
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Rake receiver with fingers

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Signals on active set links combined: MRC
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Maximal Ratio Combining – Signal quality Improved Handoff gain – Multipath gain or macro-diversity gain

2. UMTS CONCEPTS

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Notes : Uplink soft handoff 1. MRC not possible (as reception in different sites). 2. Handoff gain from RNC due to redundancy.

A955 V6.1.1

WCDMA RECEPTION PARAMETER
"Energy per bit" is the generic radio reception requirement Eb / Nt = ( C / Rb ) / ( I / W )

2. UMTS CONCEPTS

Eb : Nt : Rb : W: C: I:

Energy of one bit ( Ws/ kb that is to say J / kb) Total noise density ( W / MHz ) Effective rate of the service (kbps) Spread bandwidth (MHz) Carrier power (W) Power of interfering carriers + thermal noise (W) Eb / Nt = ( C / I ) . ( W / Rb )

C/I: Interference ratio used in GSM/TDMA planning (W / W) W / Rb : Processing gain

A955 V6.1.1

POWER CONTROL
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POWER CONTROL ON TRAFFIC CHANNEL OBJECTIVES s Solve near-far-problem of CDMA in the uplink s Limit overall interference to maximize capacity s Ensure good reception for a maximum number of mobiles s Power control yields a network-wide compromise! MEANS s Mobile power adjustment for uplink s Base station power adjustment for downlink s UMTS power control is fast!

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2. UMTS CONCEPTS

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A955 V6.1.1

OVSF CODES MANAGEMENT
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MANAGEMENT ON DL ONLY 512 codes per cell
4 bit

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16 bit

32 bit 64 bit

2. UMTS CONCEPTS

128 bit 256 bit 512 bit 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1516 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31

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1 code (512 bit) per common channel 1 code per cell-mobile link s Code length = W/Rb
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W is the spreading bandwidth (Hz) Rb is the downlink effective bit rate of the service (bit/s)

A955 V6.1.1

TRANSMITTER LOADING
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Load factor = Interference / Total noise

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Noise rise = -10log (1 - load factor) s Interference margin due to traffic in link budget

2. UMTS CONCEPTS

A955 V6.1.1

3. A955 MODELLING

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Active-set management Multi-Service traffic data Service description

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3. A955 MODELLING

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Terminal description User profile description Multi-service traffic cartography

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Traffic

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Mobility modelling

Radio

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UMTS Radio Data

A955 V6.1.1

UMTS RADIO DATA (1)
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3. A955 MODELLING

SITE EQUIPEMENT s MUD factor s UL Rake factor s Carrier selection mode – UL minimum noise – DL minimum power – Random s CEs dedicated to common channels in UL/ DL s Possible restriction to neighbours in Active set CE CONSUMPTION s For each Equipment/Service pair: number of CEs used on UL/DL SITES s Number of CEs UL/DL available on the site s Equipment installed on the site

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A955 V6.1.1

UMTS RADIO DATA (2)
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GLOBAL PARAMETERS s Average frequency (FDD), carrier number, spread bandwidth
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Default orthogonality factor Io calculation mode – Total noise – Without pilot Default UL SHO gain, MRC in softer/soft

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3. A955 MODELLING

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Notes : Default values will be taken into account in computations only if : 1. No orthogonality is defined per clutter class 2. No standard deviation is defined per clutter class.

A955 V6.1.1

UMTS RADIO DATA (3)
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TRANSMITTERS s Equipment specifications s Noise figure s Cells : (Tx-carrier) pairs – Several cells per Tx (potentially) CELLS s Carrier s Scrambling code s Scrambling code Domain s Max power, Pilot power (CPICH), SCH power, other CCH powers s Total DL power used s UL load factor s AS_threshold : max quality margin admitted between best-server and other transmitter pilots to be in active-set s Neighbours

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3. A955 MODELLING

Note : In point analysis and pilot coverage studies, when selecting all the cariers, A955 takes into account the highest Ppilot of cells to evaluate the pilot signal level related to a transmitter

A955 V6.1.1

UMTS RADIO DATA (4)
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CAE DATA IMPORT AND EXPORT s 3 files for UMTS data – U_CELL, UU_ADJ, UG_ADJ
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Import – Transmitter and cell data creation or update Export – All the transmitters or only filtered ones can be exported – Consistency problem detection

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3. A955 MODELLING

A955 V6.1.1

ACTIVE-SET MANAGEMENT
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TO ENTER ACTIVE SET
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Best server – Ec/Io > threshold (defined per mobility) – Best Ec/Io

3. A955 MODELLING

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For the other cells – Use the same carrier – Ec/Io > (Ec/Io)BS - AS_thresholdBS
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AS-threshold : maximum difference allowed between best-server and candidate cell pilot qualities

– Neighbours of best server (optional)

A955 V6.1.1

MULTI-SERVICE TRAFFIC DATA (1)
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USER PROFILE : communication behaviours for a type of subscriber s Which terminal(s) does he use? s For which service(s)? s With which usage probability? MOBILITY : Ec/Io and Eb/Nt per service s Specified for different mobile speeds TRAFFIC ENVIRONMENT : s List of user profiles with mobility and density (subscribers/km2) for each user profile s Possible clutter weighting

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3. A955 MODELLING

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A955 V6.1.1

MULTI-SERVICE TRAFFIC DATA (2)
TERMINALS
Terminal A Terminal B ...

SERVICES
S1
Mobility A  Eb/Nt UL&DL Mobility B  Eb/Nt UL&DL

MOBILITIES
Mobility A Mobility B ...

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Mobility C  Eb/Nt UL&DL

USER PROFILES
UP1
Service 1 Service 1 Terminal A Terminal C nbrOfCalls, Duration, Volume nbrOfCalls, Duration, Volume

3. A955 MODELLING

Service 1

Terminal B Terminal A Terminal E

nbrOfCalls, Duration, Volume nbrOfCalls, Duration, Volume nbrOfCalls, Duration, Volume

UP2

Service 3 Service 4

ENVIRONMENTS
ENV1
User Profile 1 User Profile 2 Mobility A Mobility A Density (Subsc./km²) Density (Subsc./km²)

User Profile 1

Mobility B Mobility A Mobility C

Density (Subsc./km²) Density (Subsc./km²) Density (Subsc./km²)

ENV2

User Profile 3 User Profile 6

A955 V6.1.1

SERVICE DESCRIPTION
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DL and UL nominal rate (kbps) and coding factor Min and max transmitter traffic power Priority Macro-diversity use Body loss Circuit or packet type s Circuit : DL and UL activity factors (DTX - Time) s Packet : DL and UL packet efficiency factors (unsuccessful data retransmission) s Both : DL and UL coding factors (rate) DL and UL Eb/Nt targets per mobility

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3. A955 MODELLING

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A955 V6.1.1

MOBILITY DESCRIPTION
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PILOT QUALITY THRESHOLDS (depending on speed,…) TO MANAGE ACTIVE SET Ec/Io THRESHOLD

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3. A955 MODELLING

A955 V6.1.1

TERMINAL DESCRIPTION
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MINIMUM AND MAXIMUM POWER GAIN AND LOSS IN TERMINAL NOISE FIGURE ACTIVE SET SIZE (maximum 4) DL RAKE FACTOR

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3. A955 MODELLING

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A955 V6.1.1

USER PROFILE DESCRIPTION
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List of behaviours for a typical subscriber Behaviour definition s Which service with which terminal s Usage frequency with different definition – Circuit : average number of calls per hour, average duration of a call in seconds – Packet : average number of sessions per hour, DL and UL transferred data volume during a session (in kBytes)

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3. A955 MODELLING

Note : User profile definition is used to calculate activity probability (probability of attempting to use the network).

A955 V6.1.1

MULTI-SERVICE TRAFFIC CARTOGRAPHY FROM MARKETING DATA (RASTER MAP)
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Macro estimation based on environments s Dealing with subscribers s Each bin is assigned an environment class s Traffic Environment class is defined by : – A list of user profiles with associated mobility and density for each user profile – Possible clutter weighting Map creation s In the document from scratch – Traffic editor s 8-bits raster file import – Supported formats : Bil, Tif, Bmp Same management features as clutter s Traffic raster map order s Multi-resolution s Statistics s Display s Possibility to export traffic map – Bil, Tif, Bmp formats

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3. A955 MODELLING

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Note : Clutter maps may be imported as traffic maps.

A955 V6.1.1

MULTI-SERVICE TRAFFIC CARTOGRAPHY FROM MARKETING DATA (VECTOR MAP)
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Estimation based on user profiles density s Dealing with subscribers s Lines and polygons with traffic information (user profile + mobility + density) – Vector attributes : Detailed information – User-defined : Global information s Possible clutter weighting for each vector map Map creation s In the document from scratch – Vector editor s Vector file import – Supported formats : Dxf, Mif/Mid, Shp, Agd Same management features as vectors s Attributes listed in a manageable table s Sort and filter criteria on vector display s Generic display dialog s Access to any single vector property s Possibility to export traffic map – Mif/Mid, Shp, Agd formats

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3. A955 MODELLING

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A955 V6.1.1

MULTI-SERVICE TRAFFIC CARTOGRAPHY FROM NETWORK DATA
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Distribution of traffic per service and sector s Dealing with network users s Traffic map is built spreading traffic on cells – UL and DL rates or number of active users on UL and DL s Proportion of terminals and mobility can be given globally s Possible clutter weighting for each traffic map Map creation s In the document from scratch – Based on a best-server coverage by transmitter study (defined and calculated) to obtain cells s File import – Supported format : Agd Management features s Traffic description in a manageable table s Sort and filter criteria on display s Generic display dialog s Possibility to export traffic map: Agd format

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3. A955 MODELLING

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Note : A955 can deal either with one single multi-services map or with one map by service.

A955 V6.1.1

4. A955 SIMULATION
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SIMULATION PROCESS CREATION OF TRAFFIC SCENARIO POWER CONTROL SIMULATION SIMULATION RESULTS SIMULATION MANAGEMENT

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4. A955 SIMULATION

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A955 V6.1.1

SIMULATION PROCESS
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ISSUE : Obtaining network parameters and noise level THREE STEPS 1. Creation of a traffic scenario – Eventually creation of a set of scenarios 2. Power control simulation – Uplink & Downlink 3. Simulation results – Dimensioning information

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4. A955 SIMULATION

A955 V6.1.1

CREATION OF TRAFFIC SCENARIOS
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Multi-service traffic cartography required ! Calculation of probability per user for a connection attempt with a certain service considering different behaviours in uplink and downlink Random trial strategy: Monte-Carlo algorithms complying with multi-service traffic data and cartography s to assign each user a behaviour and an activity status (which determines its participation to network noise) s to assign each user a geographic position (possibly depending on clutter)

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4. A955 SIMULATION

Notes : If standard deviations per clutter class are defined, each mobile is assigned a random shadowing error due to: - The mobile position - The Tx-Rx path.

A955 V6.1.1

POWER CONTROL SIMULATION (1)
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FOR A GIVEN USER DISTRIBUTION PRINCIPLES s Loading each carrier almost equally s Iterative algorithm – Iteration until convergence – Every mobile is dealt with in an iteration s Mobile ejection causes – Not enough pilot reception – Not enough DL traffic channel power per service – Not enough terminal power – Maximum load factor exceeded q During admission control q During congestion control – Not enough channel elements on site (saturation) – Not enough power for cell (saturation) – Not enough OVSF codes for cell (saturation)

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4. A955 SIMULATION

A955 V6.1.1

POWER CONTROL SIMULATION (2)
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4. A955 SIMULATION

SIMULATION INPUTS s Number of simulations s Respect of cell constraints or not s Additional outputs optionally available s Traffic – Cartography selection – Optional multiplicative factor s Generator initialisation – Used to insure random or identical user distribution between two simulation sessions s Convergence criteria – Maximum number of iterations – UL and DL convergence thresholds

Notes : 1. Possibility to defer simulation calculation. Simulations will be computed when clicking on the Calculate command. 2. Power control simulation needs propagation results.

A955 V6.1.1

POWER CONTROL SIMULATION (3)
Initialisation

1st step : Mi best server determination

2nd step : Mi active set determination

For each mobile Mi

3rd step : Uplink power control

4. A955 SIMULATION

4th step : Downlink power control

5th step : Uplink and downlink interference update

Congestion and radio resource control

Convergence study

A955 V6.1.1

POWER CONTROL SIMULATION (4)
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FOR EACH MOBILE s 1st step: Best server determination – Not enough pilot reception – Maximum load factor exceeded
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2nd step: Active set determination 3rd step: UL power control (terminal power) – Not enough terminal power 4th step: DL power control (traffic channel power) – Not enough DL traffic channel power per service 5th step: UL&DL interference updates for every cell

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4. A955 SIMULATION

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A955 V6.1.1

POWER CONTROL SIMULATION (5)
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AFTER CONSIDERATION ALL THE MOBILES IN AN ITERATION s UL load factor control – Maximum load factor exceeded
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Control of channel elements – Not enough channel elements on site (saturation) Control of OVSF codes – Not enough codes for cell (saturation) Control of total cell power – Not enough power for cell (saturation)

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4. A955 SIMULATION

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AT THE END OF AN ITERATION s UL&DL convergence verification

A955 V6.1.1

SIMULATION RESULTS (1)
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CONVERGENCE RESULTS s 6 tabs : statistics, sites, cells, mobiles, shadowing values (if detailed results), initial conditions s Analysis provided over the focus zone GLOBAL STATISTICAL INFORMATION s Requests (Monte-Carlo result) – Number of users trying to be connected to cells… s Results (after power control) – Number of users connected to cells and rejected – Number of different causes of rejections… ANALYSIS AT THE SITE LEVEL s Number of channel elements consumed

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4. A955 SIMULATION

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A955 V6.1.1

SIMULATION RESULTS (2)
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ANALYSIS OF CELLS s Power calculations s Load factor and reuse factor calculation s Number of OVSF codes used s Number of users connected on UL and DL s HO status distribution… MOBILES s Connection status (to compare with activity status) s Mobile power s HO status, transmitters in active set, macro-diversity gain s Number of channel elements consumed MOBILES (SHADOWING VALUES) s Random error due to the mobile position s Random error due to the Tx-Rx path (10 paths) INITIAL CONDITIONS s Transmitter global parameters s Simulation parameters

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4. A955 SIMULATION

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A955 V6.1.1

SIMULATION MANAGEMENT
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SIMULATIONS GROUPED BY SESSION ADDITION OF NEW SIMULATIONS s New simulation(s) in an existing group – Based on inputs of the related group (radio, multi-service traffic, session conditions) s Replay of an existing group – Same user distribution(s) – New power control taking into account current radio parameters s Use of generator initialisation (≠ 0) – Same user distribution(s) – New power control taking into account current radio and multiservice traffic parameters AVERAGE SIMULATION s Calculated on simulations of an existing group GLOBAL DISPLAY MANAGEMENT AT THE FOLDER LEVEL s A955 generic display dialog

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4. A955 SIMULATION

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A955 V6.1.1

5. A955 PREDICTIONS
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UMTS POINT ANALYSIS UMTS COVERAGE STUDIES

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5. A955 PREDICTIONS

A955 V6.1.1

Traffic-dependent Predictions

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Virtual mobile with given service, UE, etc. placed on each pixel Predictions base on an interference situation This situation can base on
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One simulation The average of several simulations Several simulations (yielding probability) User-defined interference situation (fixed load)

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If you go for Fixed Load, you don't need Simulations

A955 V6.1.1

The Way to UMTS Predictions (Simulations)

Network Design

Propagation Prediction UMTS Simulations Cell Load UMTS Predictions

Map Data

Traffic Maps

Services & Terminals

A955 V6.1.1

The Way to UMTS Predictions (Fixed Load)

Network Design

Propagation Prediction Cell Load UMTS Predictions

Map Data

Services & Terminals

A955 V6.1.1

UMTS POINT ANALYSIS
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RADIO RECEPTION DIAGNOSIS PROVIDED FOR: s a given simulation – Only its UL&DL load conditions s a carrier s a user-definable “probe" receiver with terminal, mobility and service PILOT QUALITY RECEPTION (with threshold visualization) SERVICE AVAILABILITY (with reasons for unavailability)

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5. A955 PREDICTIONS

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Caution : - Display same simulation on map and in point analysis! No saturation taken into account for probe mobile!

A955 V6.1.1

UMTS COVERAGE STUDIES (1)
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GENERIC STUDY DIALOGS (General, Simulation, Display tabs) SIMULATION TAB s Determination of calculation settings s Choice of reference UL&DL load conditions – Single or average simulation – All simulations with required probability q Statistical coverage prediction q Network stability evaluation with regard to traffic fluctuations – User-definable UL load and DL total power used s Selection of a specific carrier or all s Reliability level s Description of a probe non interfering mobile, on each bin – Choice of terminal, service and mobility DISPLAY TAB s Determination of graphical settings

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5. A955 PREDICTIONS

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Notes : - If a radio parameter is modified, simulations must be replayed before recalculating predictions! - Study based on no simulation : Default values: % UL load = 50% and Ptot = 50 % Pmax

A955 V6.1.1

UMTS COVERAGE STUDIES (2)
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PILOT RECEPTION ANALYSIS (Ec/Io study) s Per Tx, per mobility, per probability, per Ec/Io margin, per Ec/Io threshold DOWNLINK, UPLINK SERVICE AREA (Eb/Nt study) s DL combined Eb/Nt study s Per Tx, per service, per mobility, per probability, per Eb/Nt margin, per Eb/Nt threshold EFFECTIVE SERVICE AREA s Combined DL and UL Eb/Nt study s Per Tx, per service, per mobility, per probability

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5. A955 PREDICTIONS

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A955 V6.1.1

UMTS COVERAGE STUDIES (3)
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ACTIVE-SET ANALYSIS s Per handoff status, per number of potential servers DOWNLINK TOTAL NOISE STUDY s Per min, max or average noise level s Per min, max or average noise rise PILOT POLLUTION STUDY s Per number of polluters (extra potential servers)

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5. A955 PREDICTIONS

Notes : UMTS predictions and simulations can be created and calculated automatically.

A955 V6.1.1

6. NEIGHBOUR ALLOCATION (1)
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MANUAL ALLOCATION s Max inter-site distance (30 Km) AUTOMATIC ALLOCATION (1/2) s Allocation parameters – Minimum signal level with a reliability level – Min Ec/Io and Ec/Io Handover margin – Io evaluation q % of BS max powers contributing to Io q Total power used: user-defined or from simulation – Min % of covered surface – Max inter-site distance

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6. NEIGHBOUR ALLOCATION

Note : Neighbour allocation can be performed without simulation

A955 V6.1.1

6. NEIGHBOUR ALLOCATION (2)
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6. NEIGHBOUR ALLOCATION

AUTOMATIC ALLOCATION (2/2) s Options – Force neighbourhood link reciprocity and co-site cells – Possibility to keep a current allocation s Sorted list of neighbours s Allocation on a group of cells – All the cells of the group – Symmetric neighbours of these cells – Other cells which have an intersection area with the cells of the group GRAPHICAL DISPLAY ON MAP

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Note : Neighbourhoods are performed on identical carriers.

A955 V6.1.1

7. SCRAMBLING CODE ALLOCATION
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CODE PARTITION INTO COUNTRIES SETTINGS AUTOMATIC ALLOCATION CHECKING ALGORITHM

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7. SCRAMBLING CODE ALLOCATION

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A955 V6.1.1

CODE PARTITION INTO COUNTRIES (1)
ISL

• Vatican CVA • Monaco MCO • Andorra AND

= Country 1 = Country 1

• San Marino SMR = Country 1
FIN NOR Country 1 = Country 2 = Country 3 = Country 4 = IRC G
HOL BEL DNK RUS(E) EST

= Country 2

S

• Liechtenstein LIE= Country 4

RUS

LVA LTU BLR

D CZE

POL

LUX

UKR
SVK
M D A

F

SUI

AUT
SVN HRV BIH

HNG ROU YUG BUL
MKD ALB GRC

POR

I E

TUR

CYP

A955 V6.1.1

CODE PARTITION INTO COUNTRIES (2)

Set A Set B Set C Set D Set E Set F Country 1 0..10 11..20 21..31 32..42 43..52 53..63 Border 1 -2 Zone 1 -2-3 Border 1 -3 Zone 1 -2-4 Border 1 -4 Zone 1 -3-4 Set A Set B Set C Set D Set E Set F Country 3 0..10 11..20 21..31 32..42 43..52 53..63 Border 3 -2 Zone 3 -1-2 Border 3 -1 Zone 3 -1-4 Border 3 -4 Zone 3 -2-4

Set A Set B Set C Set D Set E Set F Country 2 0..10 11..20 21..31 32..42 43..52 53..63 Border 2 -1 Zone 2 -3-1 Border 2 -3 Zone 2 -1-4 Border 2 -4 Zone 2 -3-4 Set A Set B Set C Set D Set E Set F Country 4 0..10 11..20 21..31 32..42 43..52 53..63 Border 4 -1 Zone 4 -1-2 Border 4 -2 Zone 4 -2-3 Border 4 -3 Zone 4 -3-1

A955 V6.1.1

SETTINGS
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7. SCRAMBLING CODE ALLOCATION

512 SCRAMBLING CODES s 64 clusters containing 8 codes – Cluster numbering: 0-63 – Code numbering: 0-511 MODELLING s Domains – Borders and zones
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Groups – Set of clusters 1 domain = set of groups 1 domain per cell

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FORBIDDEN PAIRS OF CELLS

A955 V6.1.1

AUTOMATIC ALLOCATION (1)
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7. SCRAMBLING CODE ALLOCATION

ALLOCATION CRITERIA s Neighbourhood s Reuse distance – Comparison between the inter-transmitter distance and the reuse distance – Inter-transmitter distance weighted by azimuths of antennas s SC domain assigned to the cell s Forbidden pairs 2 ALLOCATION STRATEGIES s Clustered – Use a minimum number of clusters s Distributed – Use as many clusters as possible

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Notes : 1. Srambling codes can be allocated to all the cells or only the ones using the selected carrier. 2. Neighbour allocation is not necessary to define scrambling codes but if neighbourhoods exist, they are used.

A955 V6.1.1

AUTOMATIC ALLOCATION (2)
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EXAMPLES: 10 scrambling codes to be allocated
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7. SCRAMBLING CODE ALLOCATION

1st case: No domain assigned to cells – Clustered: 8 codes in the cluster 0 (0, 1, 2, 3, 4, 5, 6, 7) and 2 codes in the cluster 1 (8, 9) – Distributed: first code of clusters 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 (0, 8, 16, 24, 32, 40, 48, 56, 64, 72) 2nd case: Domain1 assigned to cells - Domain1=Groups 1 and 2 Group1=Cluster0 (available SCs: 0 to 7) Group2=Clusters 2 and 3 (available SCs: 16 to 31) – Clustered: 8 codes in the group1 (0, 1, 2, 3, 4, 5, 6, 7) and 2 codes in the group2 (16, 17) – Distributed: first code of group1 (cluster0), first code of cluster2 (group2),…: 0, 16, 24, 1, 17, 25, 2, 18, 26 3rd case: Domain1 is assigned to cells - Domain1=Group1 Group1=Cluster1 (available SCs: 8 to 15) – Not enough scrambling codes – No scrambling code allocated

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A955 V6.1.1

CHECKING ALGORITHM
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USEFUL IF MANUAL CHANGES CHECKING ALLOCATION CRITERIA
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7. SCRAMBLING CODE ALLOCATION

Neighbourhood Forbidden pairs Reuse distance Domains

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CHECKING RESULT AVAILABLE IN A REPORT s ScramblingCodeCheck.txt

A955 V6.1.1

8. GSM/TDMA – UMTS CO-PLANNING
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8. GSM/TDMA – UMTS CO-PLANNING

POSSIBILITY TO COMPARE SEVERAL NETWORKS IN A SAME DOCUMENT .ATL s Different or identical technologies s Link between projects VISUALISATION s Sites, Transmitters, Prediction studies, Geo data, etc... INTER-PROJECT NEIGHBOUR ALLOCATION s Manual allocation: Max inter-site distance (30 Km) s Automatic GSM – UMTS neighbour allocation – Allocation parameters q Maximum inter-site distance (including transmitter azimuths) – Allocation options q Maximum number of neighbours q Forcing co-site transmitters q Possibility to keep a current allocation

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Notes : 1. Projection systems must be the same in the different projects. 2. Linked projects can be managed in databases.

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