WinProp propagation modeling and network planning tool

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WinProp propagation modeling and network planning tool

  1. 1. WinProp Propagation Modelling and Network Planning Tool ENhANCE Study Tour, 20/08/2013, COMNET Department, Aalto Edward Mutafungwa and Beneyam B. Haile Department of Communications and Networking Aalto School of Electrical Engineering, Aalto University Espoo, Finland
  2. 2. Outline • Background • Overview of current users • Review of WinProp tools – ProMan – WallMan – AMan • Example case studies from research by COMNET • Tool demo
  3. 3. 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 one of 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/
  4. 4. 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
  5. 5. 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
  6. 6. 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 None Limited 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
  7. 7. WinProp Tools • WinProp software suite consist of several tools
  8. 8. 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
  9. 9. 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
  10. 10. 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
  11. 11. 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
  12. 12. Example WinProp Usage for Research at COMNET
  13. 13. 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
  14. 14. 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)
  15. 15. Hanna Nasif Case Study 3(6) • Simulation methodology/workflow (using WinProp tools only)
  16. 16. 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.
  17. 17. Hanna Nasif Case Study 5(6) • Simulation methodology/workflow (using WinProp and Matlab tools)
  18. 18. Hanna Nasif Case Study 6(6) • Example results from simulation study using a combination of WinProp and Matlab toolsets Indoor Small Cells Rooftop Small Cells 0 5 10 15 20 25 30 35 40 45 MeanUEServedbySmallCells(%) Mean Percentage of UEs Served by Small Cells (5 dB selection bias) 10 Small Cells 30 Small Cells 60 Small Cells 10 Small Cells 30 Small Cells 60 Small Cells 1 1.5 2 2.5 3 3.5 4 4.5 5 ThroughputGain Throughput Gain per Deployment Scenario 10th percentile 50th percentile 90th percentile 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Fairness Index CDF Fairness Index CDF Macro Only Macro & 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 30 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 SINR (dB) CDF SINR CDF (All UEs) Macro Only Macro & 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)
  19. 19. 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
  20. 20. Indoor Pico BS Case Study 2(4) • Simulation methodology/workflow (using WinProp and Matlab tools)
  21. 21. 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
  22. 22. 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
  23. 23. 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
  24. 24. Thank you for your attention! Further info: Edward Mutafungwa Postdoc Researcher/Project Manager Aalto University School of Electrical Engineering Department of Communications and Networking Otakaari 5A, Espoo, Finland edward.mutafungwa@aalto.fi Tel: +358 40 733 3397

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