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Contents
Introduction
Atoll platform
Multi-RAT network model
Mobile technologies planning and
optimisation features
Conclusions
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Slide 2 of 2
What is Atoll?
Multi-technology Windows-based Radio Planning and Optimisation software
modelling :
LTE FDD/TDD
UMTS/HSPA
GSM/GPRS/EDGE
CDMA2000 1xRTT/EV-DO
TD-SCDMA
WiMAX
Microwave Links
Complete multi-technology product offering in one software
Advanced radio planning & optimisation platform
Scalable installation
Software Development Kit allowing customisation, integration and
automation
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Slide 3
Atoll Modular Configuration
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Slide 4
Hardware & software environment
Windows OS based software
32 and 64 bit operating systems
Windows XP Pro/Vista/ 7
Server OS versions (ex. Windows + Citrix)
Hardware
Standard PC
Single or multi-processor configurations
Workstations and servers
External database support:
Oracle
Sybase Adaptive Server
MS SQL Server
MS Access
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Slide 5
Atoll Configurations
Atoll is a scalable platform supporting flexible
deployment scenarios
Standalone
Laptop or PC
Multi-user
Workstation-based
Server-based (ex. Citrix)
Hybrid
Servers, workstations and laptops in one
environment
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Slide 6
Atoll Configurations
From simple to complex
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Slide 7
Atoll platform
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Slide 8
GIS features (1)
General features
Fast dedicated GIS
Dynamic map sampling
Open platform
Direct support of multiple industry standard
formats
Raster
Vector
Web Map Service (WMS)
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Slide 9
GIS features (2)
Multi-resolution multi-layer
Integrated cartography editor
Raster editor
Vector/Polygon editor including
definition of attributes
Integration with Arcview, MapInfo,
WMS and Google Earth
Import: geographical data, traffic and
population data
Export: prediction plots (e.g coverage),
vectors and polygons, etc.
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Slide 10
User & data management (1)
Advanced database architecture
High performance internal database
Multi-user support using standard RDBMS
(Oracle, MS SQL Server, Sybase, MS Access)
On-demand data synchronisation
Profiles and user rights management
Modifications tracking feature
Highlights:
RDBMS not required for standalone
configurations
On-demand database connection
Regionalisation and partial data loading support
for big networks
Flexible and easy integration within operator’s IT
organisation
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Slide 11
User & data management (2)
Flexible multi-technology database
model
User-definable fields and flags
Customisable project templates
Intuitive import/export and migration tools
XML, ASCII,XLS or csv files
User-definable import/export tools using
macros/scripts
Powerful data management functions
Advanced Data Grid for easy editing
Graphical data selection and filtering
queries
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Slide 12
Propagation modelling (1)
Integrated propagation model library:
CrossWave propagation model
(developed by Orange Labs)
Standard propagation model (SPM)
Okumura-Hata and Cost-Hata
ITU propagation models: 526-5, 529,
370-7 and 1546-2
Longley-Rice based propagation model
Etc.
Open interface to external propagation
models :
Integration of external propagation
models through the Developer Toolkit
Full integration of propagation models
available from 3rd party developers
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Slide 13
Propagation modelling (2)
SPM is a semi-deterministic
propagation model suited for
predictions in the 150 to 3500MHz
range
It is best suited to GSM 900/1800,
UMTS, CDMA2000, WiMAX, and
LTE radio technologies
Uses Clutter and 3D building data
Automatic and assisted tuning
features
Models basic indoor propagation
A performance of close to 7 dB of
Standard Deviation can be
achieved
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Slide 14
Propagation modelling (3)
CrossWave propagation model
Frequency range 200 MHz to 5 GHz
Supports all mobile technologies
Models all cell types
Suited for all types of environment
Benefits
High accuracy even without tuning
Robust
Easy settings
Great performance
Same model for all areas
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Slide 15
Propagation modelling (4)
Propagation model tuning :
Based on CW and drive test data
(measurement module required)
Manual tuning using a propagation model
editor
Automatic model tuning based on the Bounded
Variable Least Squares technique
Assisted model tuning designed for advanced
calibration
Measurement-based pathloss matrixes
Drive Tests or CW data can be used to
improve the propagation calculation accuracy
of individual sectors
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Slide 16
Measurement module
CW Measurements
Import , display and analysis of CW data
Prediction/Measurement comparison and
statistical analysis (mean & standard deviation)
Test mobile data
Import , display and analysis of test mobile
data
Graphical replay on map combined with userdefined graphs
Call events display and analysis
Automatic propagation model calibration
and pathloss tuning
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Slide 17
Development tools
Atoll scripting language
Automation and scheduling of
calculation tasks(e.g automatic
nationwide coverage)
Custom features development
Macros written in Vbscript
Atoll Software Development Kit
C++ development resources for
developers
Development of Atoll extensions and
plug-ins
Dedicated training and support
services
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Slide 18
Integration use case
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Slide 19
3 GPP Multi-RAT network model
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Slide 20
3GPP Multi-RAT
Designed for integrated
GSM/UMTS/LTE networks in a single
project
Allows multi-technology sites
Provides antenna sharing
Models Multi-technology services
Supports Common Traffic
Runs Combined GSM/UMTS/LTE
Monte-Carlo simulator
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Slide 21
3GPP Multi-RAT
Multi-Technology Network Model
Common Traffic Model
Combined Monte-Carlo Simulator
Coverage & Quality
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Slide 22
Combined Monte-Carlo Simulator
Supports GSM/UMTS/LTE radio
access technologies
Technology independent traffic is
shared across supported
technologies
Multi-RAT services are assigned
according to their priorities
Simulation results range from global
performance to individual mobile
failure causes
Detects capacity and quality issues
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Slide 23
Inter-technology analysis
Inter-technology neighbours planning
Inter-system handover planning
Inter-technology interference analysis
Inter-band interference
Wide band noise
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Slide 24
Mobile technologies planning and
optimisation features
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Slide 25
GSM/GPRS/EDGE
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Slide 26
GSM/GPRS/EDGE
Network modelling
Support of multiple-band networks
Support of frequency hopping (base band
and synthesised)
Control of frequencies distribution: frequency
layers, border constraints
Network analysis
Network dimensioning
Traffic analysis
°15'E
4°20'E
4°25'E
Service and interference analysis
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50°50'N
50°50'N
Prediction plots per cell layer
Prediction plots for coverage and quality
User equipment modelling
Multi-Band ( ex. 900 / 1800 / 1900)
Technologie (GSM / GPRS / EDGE )
4°15'E
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4°20'E
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4°25'E
Slide 27
GSM/GPRS/EDGE
Neighbour list planning
Manual and automatic neighbour planning
Inter-system neighbour planning (GSMUMTS,…)
Interference matrix generation
IM can be generated from predictions, drivetest data and OMC-R measurements.
Interference matrix display tool
Visual display on the map
Victim/interferer analysis
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Slide 28
GSM/GPRS/EDGE
Automatic Frequency Planning module
Multi-layered networks support
Frequency hopping parameters (HSN, MAIO and
MAL) allocation
Editable cost function based on a soft penalty
approach
BSIC allocation
Interactive Frequency Planning tool
Candidate channels list creation based on AFP
cost function
Victim or interferer analysis
Powerful display features
Open interface to external AFP tools
External AFP tools can be easily and seamlessly
integrated with Atoll
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Slide 29
UMTS/HSPA
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Slide 30
UMTS/HSPA
Network modelling
Multi-band multi-carriers networks modelling
UMTS equipment modelling including RRM and
inter-carrier resource sharing
Service modelling
Advance Service and User Equipment modelling
VoIP modelling
HSPA and HSPA+ modelling including:
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DC-HSPA
MIMO
Multimedia Broadcast and Multicast System
modelling
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Slide 31
UMTS/HSPA
Traffic modelling
Multi-service traffic maps
Modelling of R99/HSPA traffic mix
Flexible traffic definition methods:
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Live traffic spread
Populations files (MapInfo/Arcview)
Linear and area spreading
Any combination of raster and vectors
Clutter weighting function
Indoor ratio on a per clutter class basis
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Slide 32
UMTS/HSPA
W-CDMA simulation
State-of-the-art WCDMA simulator
(Monte-Carlo based) supporting R99,
HSPA and HSPA+
Multi-carrier allocation and RRM
algorithms
Statistical analysis of terminal distributions
(mean / standard deviation)
User-definable simulation areas
Simulation management and control
Multiple simulation groups
Management of large areas through a
regional splitting technique
Batch mode and parallel calculations
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Slide 33
UMTS/HSPA
Predictions studies
Based on simulation results or user-defined load
values
Pilot coverage and pilot quality analysis
Services areas (DL, UL, effective)
Interference analysis (pilot pollution, noise rise…)
Quality analysis (BER, BLER, FLER…)
HSDPA/HSUPA dedicated analysis
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Control/Traffic Channels quality
Throughputs and rates
Handover analysis
Analysis tools and reporting
Graphical point analysis tool
Multi-vendor hardware resource dimensioning
(channel element dimensioning)
Comprehensive and flexible reports on userdefined areas
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Slide 34
UMTS/HSPA
Neighbour planning
Manual and automatic multi-carrier
neighbour planning
Scrambling code planning
Automatic Scrambling Code
allocation
Scrambling Code plan consistency
check
Scrambling Code interference
analysis
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Slide 35
4. LTE
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Slide 36
LTE
Multi-Technology Network Model
Common Traffic Model
LTE Monte-Carlo Simulator
Coverage & Quality
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Slide 37
Network and Radio Parameters Modelling
Supports Evolved UTRA (3GPP Release 8 LTE)
Networks
Various frequency bands
Scalable channel bandwidths
Resource blocks per channel and sampling
frequencies
FDD and TDD frame structures
Inter Cell Interference Coordination (ICIC) UL/DL
Fractional UL power control
Half-frame/full-frame switching point periodicities
for TDD
Normal and extended cyclic prefixes
Downlink and uplink control channels and
overheads
(Downlink and uplink reference signals, P-SCH,
S-SCH, PBCH, PDCCH, PUCCH, etc.)
Physical cell IDs
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Slide 38
Network and Radio Parameters Modelling
Supports Evolved UTRA (3GPP
Release 8 LTE) Networks
Coverage planning
Quality analysis
Network capacity analysis using Monte
Carlo simulations
Scheduling and resource allocation in
two-dimensional frames
Beam forming
Multiple Input Multiple Output (MIMO)
systems
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Transmit and Receive Diversity
Single-User MIMO (Spatial Multiplexing)
Adaptive MIMO Switch (AMS)
Multi-User MIMO (Collaborative MIMO) in
uplink
Automatic allocation of neighbours,
physical cell IDs, and frequencies (AFP)
(Optional)
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Slide 39
Network Parameters
Network-Level Parameters
Cyclic prefix
PDCCH and PUCCH channel
overheads
Switching point periodicity for TDD
frames
Uplink power control margin
Serving cell layer selection
System-level constants (Hard-coded in Atoll)
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Width of a resource block (180 kHz)
Frame duration (10 ms)
Other control channel overheads defined by 3GPP (calculated based on
3GPP specs)
•
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Reference signals, P-SCH, S-SCH, PBCH, etc.
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Slide 40
Network Parameters
Bearers (Modulation and Coding Schemes)
User-selectable modulations
(QPSK, 16QAM, 64QAM)
User-definable coding rates
(e.g. 1/2, 2/3, 3/4, etc.)
User-definable bearer efficiencies
(useful bits per resource element)
User-definable reception characteristics
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© Forsk 2011
Bearer selection thresholds for link adaptation
Quality indicator graphs
BLER used to model the effect of errors in data reception
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Slide 41
MIMO Systems
Multiple Input Multiple Output Systems
Supported MIMO systems:
© Forsk 2011
•
Transmit and receive diversity
• Improves the CINR
•
Single-User MIMO (SU-MIMO) (or Spatial Multiplexing)
• Improves throughput
•
Adaptive MIMO Switch (AMS)
• Can switch from SU-MIMO to Diversity as the
radio conditions worsen
•
Multi-user MIMO (MU-MIMO) (or Collaborative MIMO)
in uplink
• Improves cell capacity in terms of number of
connected users
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Slide 42
Beamforming
Benefits
Coverage improvement
Interference level reduction
Capacity increase
Modelling
Generated using Monte-Carlo
simulation
Calculates AAS usage
Takes into account overhead
due to AAS
Used in Predictions and
Simulations
Can be combined with MIMO
systems
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C
CP
PDDS
SCCH
H__I
Inntt
Slide 43
Traffic Modelling
Traffic Data
Traffic maps and subscriber lists
Various types of traffic maps:
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Raster traffic maps
Vector traffic maps
Live traffic maps
Traffic density maps
Subscribers
Subscribers
Live
Live Traffic
Traffic Data
Data
Vector
Vector Traffic
Traffic Data
Data
Raster
Raster Traffic
Traffic Data
Data
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Slide 44
Traffic Modelling
Services
Modelling of Voice and Data services
Support for service priorities
considered for scheduling and RRM
Modelling of traffic demand parameters:
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Minimum throughput demand = GBR
Maximum throughput demand = MBR
Activity factor for voice type services
Modelling of application layer overheads
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Slide 45
Traffic Modelling
Terminal Types (UE)
Minimum and maximum transmission powers
Antenna, gain, losses, and noise figure
Reception characteristics
Optional MIMO support
Number of transmission and reception antenna
ports
User Profiles
Service usage characteristics
for categories of users
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Slide 46
Coverage Predictions
Coverage Predictions
Signal level coverage plots:
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Best server plot based on downlink reference signal levels
Multiple server coverage based on downlink reference signal levels
Reference signal, SCH/PBCH, PDSCH, and PUSCH signal level plots
Reference signal, SCH/PBCH, PDSCH, and PUSCH CNR plots
Quality analysis:
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© Forsk 2011
Can be based on user-defined cell loads or on Monte Carlo simulation results
Reference signal, SCH/PBCH, PDSCH, and PUSCH CINR and interference plots
Best bearer plots based on PDSCH and PUSCH CINR levels
Throughput and cell capacity per pixel plots based on PDSCH and PUSCH CINR levels
• Peak RLC, effective RLC, and application throughputs
• Peak RLC, effective RLC, and application cell capacities
• Peak RLC, effective RLC, and application aggregate cell throughputs
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Slide 47
Coverage Predictions
Coverage Prediction Examples
Coverage by Signal Level
Coverage by DL CINR
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Number of Servers
Coverage by UL CINR
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Slide 48
Monte Carlo Simulations
Monte Carlo Simulations
For studying network capacity
Network behaviour under given traffic
Distribution of mobile users and services
Calculation of user parameters (CINR, power
control, noise rise, resource allocation, etc.)
Scheduling and radio resource allocation
based on service priorities and scheduling
methods:
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© Forsk 2011
Proportional Fair
Proportional Demand
Max Aggregate Throughput
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Slide 49
Monte Carlo Simulations
Simulation Results
Cell level
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UL and DL traffic loads
UL noise rise
UL and DL aggregate cell throughputs
Traffic input and connection statistics
…
Mobile level
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© Forsk 2011
Serving transmitter and cell
Azimuth and tilt (towards the serving cell)
Reference signal, SCH/PBCH, PDSCH, and
PUSCH signal levels
Reference signal, SCH/PBCH, PDSCH, and
PUSCH CINR and interference levels
Best bearers based on PDSCH and PUSCH
CINR levels
Cell throughputs, cell capacities, and user
throughputs PDSCH and PUSCH CINR levels
Connection status and rejection cause
…
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Slide 50
Automatic Optimisation Features
Automatic and Manual Neighbour Planning
Automatic allocation based on a hard-handover
criteria
Possibility to import existing neighbour lists
Manual and graphically assisted neighbour
allocation
Automatic Physical Cell ID Planning
Based on neighbour and distance relations
Allocation of S-SCH IDs and P-SCH IDs
Automatic Frequency Planning
Based on interference matrices, neighbour,
distance relations
Possibility to lock frequencies for cells
Can work with more than one frequency band in
the same document
Can also allocate physical cell IDs taking
interference matrices into account
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Slide 51
5. CDMA2000 1xRTT/EV-DO
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Slide 52
CDMA2000 1xRTT/EV-DO
Network Model
Traffic Model
CDMA Monte-Carlo Simulator
Coverage & Quality
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Slide 53
CDMA2000 1xRTT/EV-DO
Network modelling
Equipment
Multi-vendor Radio Resources
Support for Repeaters
Carrier modelling
Flexible frequency bands
Multi-carrier support
Multi-carrier operation (1xEV-DO Rev. B)
Carrier type support: 1xRTT, 1xEV-DO
Service and radio configuration modelling
Service modelling: voice, VoIP, 1xRTT data,
1xEV-DO (rev. 0, rev. A and B)
Radio configuration modelling
Service quality tables
1xRTT, 1xEV-DO rev. A and B radio bearer
modelling
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Slide 54
CDMA2000 1xRTT/EV-DO
Traffic modelling
Multi-service traffic database
Multiple traffic types:
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Live traffic data
Traffic map generation from population files (MapInfo, ArcView)
Traffic spreading within polygons and along vectors
Raster traffic demand maps
Clutter weighting function
Population
Population Data
Data
Live
Live Traffic
Traffic Data
Data
Vector
Vector Traffic
Traffic Data
Data
Raster
Raster Traffic
Traffic Data
Data
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Slide 55
CDMA2000 1xRTT/EV-DO
CDMA simulation
Advanced and proven CDMA
simulator (Monte-Carlo based)
Modelling of mixed 1XRTT / 1xEVDO traffic
Multi-carrier allocation
Service downgrading and RRM
modelling
User-definable simulation
parameters (number of snapshots,
convergence criteria)
Statistical analysis of terminal
distributions (mean/standard
deviation)
Batch mode and parallel calculations
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Slide 56
CDMA2000 1xRTT/EV-DO
CDMA prediction studies
Pilot quality plots
Forward and reverse Eb/Nt
coverage maps
Service areas with rate
prediction
1xRTT/EV-DO specific plots
Handoff type plots
Number of servers and pilot
pollution
and more…
Neighbour and code planning
Manual and automatic
neighbour planning
Multi-carrier neighbour planning
PN offset allocation and
analysis
PN offset interference plots
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Slide 57
ACP
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Slide 58
Atoll ACP
Unique concept of ACP implemented
as an integrated Function of the
Planning Tool
Easy to use & administrate
One GUI for RF Planning & ACP
Common HW and system
infrastructure
Common database
Automatic Cell Planning to increase
Coverage and Capacity
Site selection
Antenna selection & parameter
optimisation (azimuth, mechanical &
electrical tilt, height)
Pilot Power
…
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Slide 59
Atoll ACP
Available for GSM, UMTS, LTE and
WiMax modules
Designed to support multi-technology
GSM/UMTS/LTE networks
Green field as well as existing
network optimisation scenarios
Complex multiple objective criteria
Allows to weight required changes
against possible improvements
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Slide 60
Atoll ACP
Optimisation features:
Network coverage and quality
Network capacity
Through automatic adjustments of
selected network parameters
Site selection
Antenna parameters
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Type
Azimuth and mechanical tilt
Electrical downtilt
Transmit Power (Pilot)
User-driven optimisation process
Surface / traffic-based optimisation
Convergence criteria
Full use of live network data
Tuned propagation models
Drive-test calibrated pathloss matrixes
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Slide 61
Atoll Highlights
Advanced radio planning & optimisation features
Robust & scalable platform
Integrated optimisation tools (AFP/ACP)
Software Development Kit allowing customisation and integration
Strong and focussed customer support organisation
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Slide 62