Atoll-3-1-0-LTE-Light.pdf
May 8, 2017 | Author: NguyenPhuoc | Category: N/A
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ATOLL LTE FEATURES
Training Programme 1. LTE Planning Overview 2. Modelling a LTE Network 3. LTE Predictions 4. Frequency and PCI Plan Analysis 5. Monte-Carlo Based Simulations
© Forsk 2011
Confidential – Do not share without prior permission
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1. LTE Planning Overview LTE Features Supported in Atoll
LTE Workflow in Atoll
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LTE Features supported in Atoll Supports Evolved UTRA (3GPP Release 8 LTE) Networks Various Frequency Bands Scalable Channel Bandwidths Resource Blocks per Channel and Sampling Frequencies Support of TDD and FDD Frame Structures 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, PSS, SSS, PBCH, PDCCH, PUCCH, etc.
RSRP, RSSI and RSRQ Support in predictions and Simulations
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Slide 4 of 82
LTE Features supported in Atoll Supports Evolved UTRA (3GPP Release 8 LTE) Networks Physical Cell IDs Implementation Inter-Cell Interference Coordination Support •
Fractional Frequency Reuse Modelling
Support of Fractional Power Control (UL) Support of Directional CPE Antennas Signal Level Based Coverage Planning CINR Based Coverage Planning Possibility of Fixed Subscriber Database for Fixed Applications
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LTE Features supported in Atoll Supports Evolved UTRA (3GPP Release 8 LTE) Networks Network Capacity Analysis using Monte Carlo Simulations Scheduling and Resource Allocation in Two-dimensional Frames Multiple Input Multiple Output (MIMO) Systems • • • •
Transmit and Receive Diversity Single-User MIMO or spatial multiplexing Adaptive MIMO Switch (AMS) Modelling of Multi-User MIMO (collaborative MIMO – UL only)
Tools for Resource Allocation • • •
Automatic Allocation of Neighbours Automatic Allocation of Physical Cell IDs Automatic Allocation of Frequencies (AFP)
Specific Module
Network Verification Possible using Drive Test Data
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LTE Workflow in Atoll Open an existing project or create a new one Network Configuration - Add network elements - Change parameters
ACP
Basic Predictions (Best Server, Signal Level) Automatic or Manual Neighbour Allocation Automatic or Manual Frequency Planning Automatic or Manual Physical Cell ID Planning Traffic Maps Monte-Carlo Simulations
And/or
Subscriber Lists
User-defined Values Cell Load Conditions Signal Quality and Throughput Predictions
© Forsk 2011
Frequency Plan Analysis
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Prediction Study Reports
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Training Programme 1. LTE Planning Overview 2. Modelling a LTE Network 3. LTE Predictions 4. Frequency and PCI Plan Analysis 5. Monte-Carlo Based Simulations
© Forsk 2011
Confidential – Do not share without prior permission
Slide 8 of 82
2. Modelling a LTE Network Global Settings Frequency Band definition Frame Structure Settings
Radio Parameters Site Transmitters Cells
Equipment Parameters User-definable reception characteristics
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Global Settings (1/2) Frequency Bands Atoll can model multi-band networks within the same document TDD (Time Division Duplexing) or FDD (Frequency Division Duplexing) One frequency band assigned to each cell
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Slide 10 of 82
Global Settings (2/2) LTE Frame Structure definition
Normal (default) or extended cyclic prefix (No. of SD per slot) e.g.: at 15 kHz, 7 SD/slot (normal) or 6 SD/slot (extended)
Number of SD for PDCCH (0,1,2 or 3) carrying DL and UL Resource allocation information
Average number of resource blocks for PUCCH
System-level constants (Hard-coded) • •
TDD option only : Switch from DL to UL every half frame (default) or every frame
Width of a resource block (180 kHz) Frame duration (10 ms)
Other control channel overheads defined by 3GPP (calculated based on 3GPP specs) • © Forsk 2011
Reference signals, PSS, SSS, PBCH, etc. Confidential – Do not share without prior permission
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Radio Parameters Overview Site X (longitude) and Y (latitude)
Transmitters Activity Antenna configuration (model, height, azimuth, mechanical & electrical tilts...) UL & DL Losses / UL Noise Figure Propagation (Model, Radius and resolution)
Presented in General Features
Cells Frequency Band & Channel PCI Power definition Min RSRP UL & DL Load Diversity Support Neighbours
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Transmitter Parameters Antenna Configuration and Losses parameters
Cells parameters (see next slide)
Propagation settings
DL and UL total losses, UL noise figure
Antenna Configuration
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Slide 13 of 82
Cell Parameters Cell’s frequency band Cell activity Channel number in the frequency band (and allocation status)
Physical Cell ID + resulting PSS/SSS (and allocation status)
Power and energy offsets from computed reference signal Min RSRP used as cell coverage limit
DL traffic load Load Conditions
UL noise rise due to surrounding mobiles
MIMO Configuration
ICIC and Fractional Power Control Parameters (Advanced)
Inputs of the neighbour allocation algorithm Neighbour list
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Slide 14 of 82
Equipment Parameters (1/2) Bearers (Modulation and Coding Schemes) definition User-definable bearer efficiencies (useful bits per resource element)
Bearer selection thresholds for link adaptation Quality indicator graphs BLER used to model the effect of errors in data reception
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Equipment Parameters (2/2) Multiple Input Multiple Output Systems Diversity and SU-MIMO gains • •
Definable per bearer and antenna configuration Depend on the clutter class where users are located
MU-MIMO gain • •
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Definable per cell or Calculated during Monte Carlo simulations using intelligent multi-user scheduling on two antenna ports (Layered Space-time Scheduling) Confidential – Do not share without prior permission
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Training Programme 1. LTE Planning Overview 2. Modelling a LTE Network 3. LTE Predictions 4. Frequency and PCI Plan Analysis 5. Monte-Carlo Based Simulations
© Forsk 2011
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3. LTE Predictions Introduction
Parameters used in Predictions
Prediction Settings
Fast Link Adaptation Modelling
Coverage Prediction Examples
Point Analysis Studies
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Introduction Coverage Predictions General Studies based on Downlink Reference Signal Levels • • • • •
Best server plot based on downlink reference signal levels Multiple server coverage based on downlink reference signal levels Reference signal level plots Reference signal CNR plots RSRP (Average Reference Signal Level Received Power per Subcarrier) plots
LTE UL and DL Specific Studies • • •
• •
SS, PDSCH, PBCH, PDCCH and PUSCH/PUCCH Signal Level Plots SS, PDSCH, PBCH, PDCCH and PUSCH/PUCCH CNR Plots Quality Studies (RSSI – Received Signal Strength Indicator, RSRQ – Reference Signal Received Quality, Reference Signal, SS, PDSCH, PBCH, PDCCH and PUSCH/PUCCH CINR and interference plots, UL Allocated Bandwidth, UL Transmission Power) Best Bearer and Modulation 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 Channel Throughputs • Peak RLC, Effective RLC, and Application Throughputs averaged per User • Peak RLC, Effective RLC, and Application Cell Capacities • Peak RLC, Effective RLC, and Application Aggregate Cell Throughputs • Peak RLC, Effective RLC, and Application Allocated Bandwidth Throughputs (UL)
Point Predictions © Forsk 2011
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Introduction Principles of the studies based on traffic Study calculated for
© Forsk 2011
•
Given load conditions • UL noise rise • DL traffic load
•
A non-interfering user with • A service • A mobility • A terminal type (in case of a directive antenna , it is oriented towards the serving cell)
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Load Conditions Load conditions are defined in the cells table
Values taken into consideration in predictions for each cell
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Service Properties
Parameters used in predictions Highest bearers in UL and DL Body loss Application throughput parameters
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Mobility Properties
Parameters used in Predictions Mapping between mobilities and thresholds in bearer and quality indicator determination (as radio conditions depend on user speed).
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Terminal Properties
Min & Max Power + Noise Figure + Losses
Support of MIMO
Parameters used in Predictions Minimum & Maximum terminal power Gain and losses Noise figure Antenna settings (incl. MIMO support) © Forsk 2011
Number of Antenna ports in UL and DL in case of MIMO support
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Prediction Settings Coverage Prediction Plots Standard predictions •
Best server plot
•
Coverage by signal level
•
Multiple server coverage
Reference signal, SS, PDSCH, PBCH, PDCCH and PUSCH/PUCCH signal level and quality predictions
© Forsk 2011
•
Selection of a mobility, a service, a terminal (possibly directional antenna oriented towards the serving cell)
•
Reference signal, SS, PDSCH, PBCH, PDCCH and PUSCH CNR plots
•
RSRP (Average Reference Signal Level Received Power per Subcarrier) plots
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Prediction Settings Coverage Prediction Plots CINR, Throughput and Quality Indicator predictions
© Forsk 2011
•
Based on user-defined cell loads or on Monte-Carlo simulation results
•
Selection of a mobility, a service, a terminal (possibly directional antenna oriented towards the serving cell)
•
RSSI – Received Signal Strength Indicator and RSRQ – Reference Signal Received Quality
•
Reference Signal, SS, PDSCH, PBCH, PDCCH and PUSCH/PUCCH CINR and interference plots
•
UL Allocated Bandwidth, UL Transmission Power)
•
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 channel throughputs • Peak RLC, effective RLC, and application throughputs averaged per user • Peak RLC, effective RLC, and application cell capacities • Peak RLC, effective RLC, and application aggregate cell throughputs
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Fast Link Adaptation Modelling Atoll determines, on each pixel, the highest bearer that each user can obtain No soft handover Connection to the best server in term of reference signal level (C) Bearer chosen according to the radio conditions (PDSCH and PUSCH CINR levels)
Process : prediction done via look-up tables Throughput & Quality Indicator (BER and BLER) predictions
Reference Signal Level (C) evaluation
Best Server Area determination (min RSRP)
© Forsk 2011
Radio Conditions estimation (PDSCH and PUSCH CINR calculation)
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Bearer Selection
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Interference Estimation Atoll calculates PDSCH and PUSCH CINR according to: The victim traffic (PUSCH or PDSCH) power The interfering signals impacted by: • • • •
The interferers powers The path loss from the interferers to the victim Antenna gain Losses from interferers (incl. Shadowing effect and indoor losses)
The interference reduction factor applied to interfering base stations transmitting on adjacent channels (adjacent channel suppression factor) The interference reduction factor due to interfering base stations’ traffic load The interference reduction due to Fractional Frequency Reuse (and consequently the mutual overlap between the channel fractions of the victim and the interfering base stations)
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Prediction Examples (General Studies)
Number of servers (Based on reference signal power)
Coverage by signal level (Based on reference signal power)
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Prediction Examples (Dedicated Studies)
Coverage by PDSCH CINR (Directional receiver antenna)
Coverage by PDSCH CINR (Isotropic receiver antenna)
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Slide 30 of 82
Prediction Examples (Dedicated Studies)
Coverage by PUSCH CINR (Directional receiver antenna)
Coverage by PUSCH CINR (Isotropic receiver antenna)
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Slide 31 of 82
Point Analysis Tool: Reception Radio Reception Diagnosis at a Given Point : Reception Analysis Choice of UL&DL load conditions : if (Cells Table) is selected Analysis based on DL load and UL noise rise from cells table
Selection of the value to be displayed (RS, SS, PDSCH, RSRP)
Reference Signals, PDSCH and PUSCH availability (or not) Definition of a userdefinable “probe" receiver, indoor or not
Cell bar graphs (best server at the top) Analysis detail on reference signals, PDSCH and PUSCH
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Point Analysis Tool: Interference Radio Interference Diagnosis at a Given Point : Interference Analysis Choice of UL&DL load conditions : if (Cells Table) is selected Analysis based on DL load and UL noise rise from cells table
Selection of the value to be displayed (RS, SS, PDSCH, RSRP)
Serving Cell (C)
Total Level of Interference (I + N)
Definition of a userdefinable “probe" receiver, indoor or not
© Forsk 2011
List of Interfering Cells
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Training Programme 1. LTE Planning Overview 2. Modelling a LTE Network 3. LTE Predictions 4. Frequency and PCI Plan Analysis 5. Monte-Carlo Based Simulations
© Forsk 2011
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Slide 34 of 82
4. Frequency Plan Analysis Channel and Physical Cell ID Search Tools
Physical Cell ID Allocation Audit
Physical Cell ID Histograms
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Search Tool Overview Tool to visualise channel and PSS ID reuse on the map Possibility to find cells which are assigned a given : • • • •
Frequency band + channel Physical Cell ID PSS ID SSS ID
Way to use this tool Create and calculate a coverage by transmitter with a colour display by transmitter Open the “Find on Map” tool available in the Edit menu (or directly in the toolbar )
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Channel Search Tool Channel Reuse on the Map Resource Selection
Frequency band and Channel number
Colours given to transmitters • Red: co-channel transmitters • Yellow: multi-adjacent channel (-1 and +1) transmitters • Green: adjacent channel (-1) transmitters • Blue: adjacent channel (+1) transmitters • Grey thin line: other transmitters © Forsk 2011
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Physical Cell ID Search Tool Physical Cell ID, PSS ID and SSS ID Reuse on the Map Resource Selection
Resource Type and Value
Colours given to transmitters • Red or Grey thin line: if the transmitters carries or not the specified resource value (Physical Cell ID, PSS ID or SSS ID) © Forsk 2011
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PCI Allocation Audit (1/2) Verification of the allocation inconsistencies Respect of a minimum reuse distance Respect of neighbourhood constraints (two neighbour cells must have different PCI) Respect of SSS ID allocation strategy
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PCI Allocation Audit (2/2) Audit results Inconsistencies are displayed in the default text editor
The minimum distance constraint is fulfilled
Cells BRU010_L1 & BRU116_L2 are Neighbour cells but have been allocated the same PCI
These 13 sites do not fulfil the SSS ID allocation strategy: on each site, allocated PCI do not have the same SSS ID
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Physical Cell ID Histograms View of the Physical Cell ID Distribution
Dynamic pointer
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Training Programme 1. LTE Planning Overview 2. Modelling a LTE Network 3. LTE Predictions 4. Frequency and PCI Plan Analysis 5. Monte-Carlo Based Simulations
© Forsk 2011
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Slide 42 of 82
5. Monte-Carlo Based Simulations Traffic modelling Monte Carlo Simulations
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Traffic Modelling (1/2)
Traffic Data Traffic maps and subscriber lists Various types of traffic maps: • • • •
Raster traffic maps Vector traffic maps Live traffic maps Traffic density maps
Subscribers Live Traffic Data Vector Traffic Data Raster Traffic Data
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Traffic Modelling (2/2) Subscriber Lists Lists of subscribers with fixed locations and specific parameters Can be created using the mouse or imported from txt and csv files Can be displayed on the map according to different parameters Main parameters: • • • • • •
Location: X and Y coordinates Antenna height Azimuth and tilt (user-defined or calculated) Serving cell (user-defined or calculated) User profile Terminal type
Prediction calculations can be carried out on subscribers (points) •
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Predicted results include reception levels, CINR, throughputs, etc.
Monte Carlo Simulations (1/3) Monte Carlo Simulations For studying network capacity Network behaviour under given traffic Can be based on traffic data from traffic maps and subscriber lists 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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Proportional Fair Proportional Demand Max Aggregate Throughput
Monte Carlo Simulations (2/3) Simulation Results For each cell • • • • •
UL and DL traffic loads UL noise rise UL and DL aggregate cell throughputs Traffic input and connection statistics …
For each mobile • • • • • • • •
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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 …
Monte Carlo Simulations (3/3)
Simulation Results Display
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THANK YOU!
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