winprop propagation modeling and network planning tool
DESCRIPTION
Presentation on WinProp propagation modeling and network planning toolTRANSCRIPT
WinProp Propagation Modelling and Network Planning Tool
ENhANCE Study Tour, 20/08/2013, COMNET Department, Aalto
Edward Mutafungwa and Beneyam B. HaileDepartment of Communications and NetworkingAalto School of Electrical Engineering, Aalto UniversityEspoo, Finland
Outline• Background• Overview of current users• Review of WinProp tools
– ProMan– WallMan– AMan
• Example case studies from research by COMNET• Tool demo
Background 1(2)• WinProp is a commercial simulation software suite
– For RF propagation modelling– For wireless network planning
• Tool produced by AWE Communications of Germany– Spin-off from University of Stuttgart
• Successful adoption of the WinProp tool at CoICT and AAiT is oneof planned deliverables in ENhANCE– Potentially used as a learning tool wireless courses (both basic and
advanced)– Used as a research tool facilitating improved results for theses
research works (Master’s and PhD) and research by staff
http://www.awe-communications.com/
Background 2(2)• WinProp Tool available in the market since 1998
(currently version 12.3)• Continuously evolving for study of new propagation
scenarios and wireless technology standards
Current Users• WinProp adopted by diverse range of industry and academia
customers (used in COMNET Aalto for 1 year)• Example user in Africa: École Supérieure Multinationale des
Télécommuications (ESMT) of Senegal
Type of Licenses Trial License PPP (Pay
Per Project) License
Annual License
Perpetual License
Teaching License
Time Limitation
30 days Annual Annual None None?
Sample Data/Demos from AWE
Included Included Included Included Included
Study Scenario Limitation
Limited to one customer-defined scenario and to demo scenarios
Limited.Customer has to pay for each scenario.
None NoneLimited to demo scenarios
Support Included, but reaction time not guaranteed
Included Included, but reaction time not guaranteed
TBC
Price Free Annual fee. Depending on scenario.
Annual fee. Depending on selected modules. Discount for multiple licences.
Depending on selected modules. Discount for multiple licences.
TBC
WinProp Tools• WinProp software suite consist of several tools
ProMan 1(2)• ProMan propagation modeling modules
– Different propagation models for study of different propagation scenarios (rural, urban, indoor etc.)
• Emprical models (Okumura-Hata, COST 231, ITU P.1546 etc.)• Deterministic models (ray tracing, Dominant Path Model etc.)
Example indoor coverage for outdoor transmitterPath loss map for transmitter in Munich
ProMan 2(2)• ProMan Network Planning Modules
– Different pre-defined technologies (GSM, WLAN, WCDMA, LTE etc.)– GUI for definition/modification of air interface parameters, cell loading etc.– Results in form of commonly used KPIs (throughput, SINR, RSRP, etc.)– Additional Network Optimizer module for optimum site selection etc.
xxx Max downlink throughput for urban LTE network
WallMan• ProMan propagation modeling requires databases of buildings,
terrains, etc. as input data for simulation • WallMan functions include:
– Generation/modification/visualisation of vector databases for buildings and cities
– Conversion of vector databases from common file formats (ArcGIS, AutoCAD, JPEG floor plans etc.)
xxx
Example urban database
Example indoor database
AMan• AMan functions include:
– Generation/modification/visualisation of vertical and horizental antenna patterns for use by transmitters in ProMan
– Interporlation algorithms for conversion from 2x2D (vertical & horizontal) to 3D patterns
– Adaptation of antenna patterns from different antenna data file formats (ASCII, *.xml, *.msi etc.)
Vertical PatternHorizental Pattern 3D Pattern
Example WinProp Usage for Research at COMNET
Hanna Nasif Case Study 1(6)• Hanna Nassif ward in Dar es Salaam, Tanzania
– Population: 37000 (2012 census)– Area: 1 Sq km– Building number: est. 3050 buildings (majority single story)– Topographical difference: 19 m
Hanna Nasif Case Study 2(6)• Study network performance impact of heterogeneous deployment
small cells and macro cells in very high density urban areas
Example path loss map (for Femto 3) located indoor (left) on rooftop (right)
Hanna Nasif Case Study 3(6)• Simulation methodology/workflow (using WinProp tools only)
Hanna Nasif Case Study 4(6)• Example results from simulation study using WinProp tools only
SNIR differences for rooftop versus indoor small cell deployments
Ref: R. Rakibul, “Small Cells for Broadband Internet Access in Low-Income Suburban Areas in Emerging Market Environments” Aalto Diploma Thesis, completed 06/2013.
Hanna Nasif Case Study 5(6)• Simulation methodology/workflow (using WinProp and Matlab tools)
Hanna Nasif Case Study 6(6)• Example results from simulation study using a combination of
WinProp and Matlab toolsets
Indoor Small Cells Rooftop Small Cells0
5
10
15
20
25
30
35
40
45
Mea
n U
E S
erve
d by
Sm
all C
ells
(%)
Mean Percentage of UEs Served by Small Cells (5 dB selection bias)
10 Small Cells30 Small Cells60 Small Cells
10 Small Cells 30 Small Cells 60 Small Cells1
1.5
2
2.5
3
3.5
4
4.5
5
Thro
ughp
ut G
ain
Throughput Gain per Deployment Scenario
10th percentile50th percentile90th percentile
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.80
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Fairness Index
CD
F
Fairness Index CDF
Macro OnlyMacro & 10 Small Cells(Rooftop)Macro & 10 Small Cells(Indoor)Macro & 30 Small Cells(Rooftop)Macro & 30 Small Cells(Indoor)Macro & 60 Small Cells(Rooftop)Macro & 60 Small Cells(Indoor)
etc.
-10 -5 0 5 10 15 20 25 300
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
SINR (dB)
CD
F
SINR CDF (All UEs)
Macro OnlyMacro & 10 Small Cells(Rooftop)Macro & 10 Small Cells(Indoor)Macro & 30 Small Cells(Rooftop)Macro & 30 Small Cells(Indoor)Macro & 60 Small Cells(Rooftop)Macro & 60 Small Cells(Indoor)
Indoor Pico BS Case Study 1(4)• Study improvements in indoor coverage and capacity through
operator deployed indoor pico base stations in multi-storey buildings
Example deployment of 2 pico base stations on a single floor of a building
Indoor Pico BS Case Study 2(4)• Simulation methodology/workflow (using WinProp and Matlab tools)
Indoor Pico BS Case Study 3(4)• Example definition of custom Pico BS antenna patterns and
importing to WinProp (using AMan)
Custom vertical antenna pattern
Custom horizental antenna pattern
3D antenna pattern generated in WinProp AMan tool
Indoor Pico BS Case Study 4(4)• Example results from simulation study using WinProp and Matlab
tools
Received power for Pico 1 deployed in the first floor
Pico 1 (1st Floor)
Throughput CDFs for case of Pico 1 in first floor
WinProp Tool Demo
• General overview of GUI for ProMan/WallMan/AMan• Example propagation modeling project in ProMan
– Single site simulation example– How to export results to other tools (e.g. Matlab simulators)
• Example of previously performed network planning projects– LTE network– WLAN network– Satellite/broadcast or vehicular
Thank you for your attention!
Further info:Edward MutafungwaPostdoc Researcher/Project ManagerAalto UniversitySchool of Electrical EngineeringDepartment of Communications and Networking Otakaari 5A, Espoo, Finland [email protected]: +358 40 733 3397