Network Planning Tool for Securing Critical Infrastructures

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1. Network Planning Tool for Securing Critical Infrastructures Seppo.Horsmanheimo@vtt.fi 2. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 2207/06/2015 Network Planning Tool (NPT) 2G/3G/4G and Wifi network planning tool 3D modelling of urban and rural areas Field measurements and calculation model optimisation Modelling of electricity distribution networks Storm and medium voltage network failure simulations Modelling of city areas including indoor spaces Analysis of future mobile networks (LTE ProSe) reliability and robustness for critical infrastructure services Network Planning Tool 3. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 307/06/2015 3 Measurement and Analysis Process Network Planning Tool Part1: Modelling Part2: Measurements Part3: Performance Assessment Part4: UseCases, e.g.Fault Simulations 4. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 4 Modelling of Telecommunication Networks and Fine-Tuning with Measurements 5. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 507/06/2015 5 Network Planning Tool Basics Modelling of Telecommunication Networks What can be analysed: Coverage, capacity, data rates, and application level QoS Disconnected calls and data connections Interference (inter and intra-cell, inter-system) Different network configurations Delays and jitter Different antenna patterns Application areas: Network planning and performance assessment Discovery of hotspot areas where QoS requirements are not fulfilled Support for location / context aware solutions Interaction between electric distribution grid and commercial cellular networks 6. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 607/06/2015 6 Core Components for Coverage Prediction Modelling of Telecommunication Networks 3D terrain and buildings (part of Otaniemi area) 3D city model produced by TerraSolid Environment 3D models (terrain, vegetation, buildings, waters,) Propagation models Empirical, semi-deterministic, deterministic/ray-tracing models Clutter models Parameters Calculation scenario (networks, resolution, simulation area,) Transmitter and receiver (antenna heights, transmission powers, gains, radiation patterns, ) Field measurements Validation of coverage calculations Calibration of propagation models 7. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 707/06/2015 7 Wireless Systems and Propagation Models Modelling of Telecommunication Networks Modelled wireless networks LTE(800/1800/2600), UMTS (2100/900), GSM (900/1800), WLAN, WiMAX, CDMA450 Special configurations, e.g. for low frequencies Several propagation models: FreeSpace, Egli, Delisle-Egli, Longley-Rice, Erceg, ECC33, Xia-JTC, OkumuraHata, CostHata, Walfish-Ikegami, CostWI, Winner models, Covered frequencies ~ 20 MHz 40 GHz Example of five WLAN sites in Otaniemi scenario 8. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 807/06/2015 8 Heterogeneous Network Planning BTS Locations 3D Building Model Predicted LTE Coverage Modelling of Telecommunication Networks 9. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 907/06/2015 9 Measurements for Propagation Model Optimization Original Result Fully optimized After sanity check 10. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 10 Location Aware Measurements 11. 1107/06/2015 11 VTT has developed a comprehensive set of measurement and analysis tools to support spatiotemporal measurements To discover problematic areas in mobile and other networks both indoors and outdoors Buildings, Basements To collect and analyse network characteristics Coverage, Capacity, and Latency Network Coverage and QoS Measurements Modelling of Telecommunication Networks 12. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 1207/06/2015 12 Suburban area Measurements (Outdoor) 2G 3G 4G Measurements and Positioning 13. 1307/06/2015 13 Rural Area Measurements (Outdoor) Nemo Outdoor Viola Arctic 2G/3G Measurements and Positioning 14. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 1407/06/2015 14 Indoor Measurements Measured rsrp values and cell counts in LTE network Measured rssi values and cell counts in WLAN network Measurements and Positioning 15. 1507/06/2015 15 Camera and 3D proximity sensor (Point Cloud) 2D proximity sensor (scanning laser) PIR (motion sensor) IMU (acceleration, angle velocity) LDR (light intensity sensor) Ultra Sound sensors (proximity)Servo motors (max 1m/s, 2hp) PC computer Mobile Robot Platform for Positioning and Indoor Measurements Quuppa HAIP sensor and tag Measurements and Positioning 16. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 1607/06/2015 16 Indoor Measurement Robustness of Interdependent Networks 17. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 1707/06/2015 17 Analysis of Different Operators and Different RANs (indoor and outdoor) Used for selecting the best operator and best network during large-scale crisis Robustness of Interdependent Networks 18. Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 18 Interdependency of Mobile Communication and Electricity Distribution Networks 19. 1907/06/2015 19 Motivation Interdependency of electricity distribution and mobile communication networks has increased due to automation and remote control. Loss of electricity and communication capabilities causes chain-effects jeopardizing critical infrastructure services. There is a need for reliable and resilient wireless communications to support remote control and monitoring of Smart Grids. a Interdependent Networks 20. 2007/06/2015 20 Analysis of Electricity Distribution Network Failures One feeder down *) Gray indicates network entities without electricity. One substation down Several substations down *) Color indicates the redundancy of 2G networks measured with different devices Downlink redundancy rasters Interdependent Networks 21. 2107/06/2015 21 Measurement and Analysis Tool (NPT) Interdependencies between these networks have little been studied or simulated. We need to understand better the interdependencies of the networks in severe failure situations e.g. storms and to find novel ways to alleviate consequences. Our goal is to make interdependent electricity distribution and communications networks more reliable and resilient. Interdependent Networks 22. 222207/06/2015 Measurement and Analysis Tool (NPT) Includes novel recovery algorithms for communications to cope with large-scale outages. Targeted to critical communications and public safety applications. Low latency, high availability, and ultra-reliability are the critical parameters being assessed. Both offline and real-time monitoring is supported including one-way latency measurements with Qosmet tool. Interdependent Networks 23. 232307/06/2015 Risk and vulnerability analysis of energy and communication networks Long experience in developing risk, reliability and safety analysis methods and applying the methods to the risk and safety management processes. Network dependability assessment Methodologies and mathematical modelling Human factors Analysis of risks in networking Detect critical weaknesses in networks Use case: Interdependency of power distribution and communication network in failure situations Interdependent Networks 24. 2407/06/2015 24 Recent Publications S. Horsmanheimo, L. Tuomimki, K. Mki, Interoperability of Electricity Distribution and Communication Networks in Large-Scale Outage Situations, Oct 18-22, 2015, Japan (submitted). S. Horsmanheimo, M. Kamali, M. Kolehmainen, M. Neovius, L. Petre, M. Rnkk, P. Sandvik, On Proving Recoverability of Smart Electrical Grids, NFM 2014, Apr 29 - May 1, 2014, Houston, USA, pp. 77-92. S. Horsmanheimo, N. Maskey, L. Tuomimki, Interdependency between Mobile and Electricity Distribution Networks: Outlook and Prospects. In Smart Device to Smart Device Communication, S. Mumtaz, J. Rodriguez (eds.), Springer, 2014, ISBN 978-3-319-04962-5. S. Horsmanheimo, N. Maskey, L. Tuomimki, Feasibility study of utilizing mobile communications for Smart Grid applications in urban area, IEEE International Conference on Smart Grid Communications (SmartGridComm) 2014, Nov 3 6, 2014, Venice, Italy, pp. 440 445. N. Maskey, S. Horsmanheimo, L. Tuomimki, Analysis of latency for cellular networks for Smart Grid in suburban area, IEEE PES Innovative Smart Grid Technologies Conference (ISGT Europe), Oct 12-15, 2014, Istanbul, Turkey, pp. 1-4. P. Kuusela, I. Norros, Dynamic approach to service level agreement risk. Conference proceedings. IEEE, pp. 266-273. 9th International Conference on Design of Reliable Communication Networks, 2013. P. Cholda, E. L. Flstad, B. E. Helvik, P. Kuusela, M. Naldi, I. Norros, Towards risk-aware communications networking. Reliability Engineering and System Safety, vol. 109, pp. 160-174, 2013. I. Norros, P. Kuusela, J. Lapuyade-Lahorgue, M. Naldi and M. Sirvi. Repairable systems with dependent components: stochastic process techniques an