GIS Applied to Mobile Technology

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Presentation by Vidas Gruodis from Cellular Expert on Esri European User Conference.

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GIS Applied to Mobile Technology

  1. 1. Cellular Expert GIS applied to mobile technologymobile technology Vidas Gruodis Sales & Marketing Manager Telecommunication Solutions HNIT-BALTIC
  2. 2. About HNIT-BALTIC Established in 1993. HQ in Lithuania. Subsidiaries in Latvia and Estonia. Authorized ESRI Inc. distributor and leader in GIS in Baltic States More than 500 customers of GIS software and solutions More than 10 years of sales and marketing experience in international market focusing on GIS based software solutions for telecommunication companies Developer and owner of Cellular Expert – wireless network planning,Developer and owner of Cellular Expert – wireless network planning, optimization and data management solution Certified Telcordia Network Engineer trainer and consultant, provider of implementation and customization services Microsoft Gold Certified Partner Oracle Gold Certified Partner
  3. 3. Planning • Design • Optimization • New technology/service Sharing • Network viewer • Customer care Cellular Expert – wireless network management solution • Customer care • Marketing campaigns • Sales Mapping performance (KPI) • Network • Complaints • Sales • Marketing effectiveness
  4. 4. Cellular Expert: Users & Supported TechnologiesCellular Expert is dedicated for: Mobile Network Operators Telecoms Utility Companies Military Emergency Service Providers Wireless Internet Providers Consultancy Service Providers Other Wireless Network Owners / Administrators Cellular Expert covers wide range of the wireless systems: Wireless transmission networks (Microwave) Mobile networks (GSM, DCS, PCS, NMT, CDMA2000, UMTS/HSPA, LTE) Broadband wireless access networks (WLL, LMDS, MMDS, WiMAX) Broadcasting Networks (DAB, DVB-T, DVB-T2) Military and rescue networks (TETRA, APCO) Other systems in frequency range up to 40 GHz
  5. 5. Cellular Expert Customers & Partners 50 Cellular Expert Resellers all over the world. 90+ Cellular Expert customers in 35 countries
  6. 6. Cellular Expert Customers
  7. 7. Cellular Expert Environment Single-user environment with personal database: ArcView /9.3/10 Spatial Analyst (for Standard, UMTS, WiMAX, Professional and Enterprise licenses). 3D Analyst is optional (for faster dynamic profiling and 3D antenna pattern export) MS Access personal database (MDB) Multi-user environment on a central database: ArcEditor 9.3/10 Spatial Analyst (for Standard, UMTS, WiMAX, Professional and Enterprise licenses) 3D Analyst is optional (for faster dynamic profiling and 3D antenna pattern export)3D Analyst is optional (for faster dynamic profiling and 3D antenna pattern export) ArcGIS Server with MS SQL Express, MS SQL DB, Oracle DB License types: Single-use licenses Concurrent (floating) licenses Used Geographic data: DTM Clutter (land use) Buildings with height attribute Street data
  8. 8. Cellular Expert Product Family
  9. 9. Planning of Transmission Networks
  10. 10. Planning of Transmission Networks Path Profiling and Visibility Analysis Radio Links Design and Management Power Budget Analysis Performance Prediction (Multipath and Rain) Interference Analysis Automatic Radio Link Frequency Planning
  11. 11. Radio Path Profiling Planning of Transmission Networks Radio Link power budget calculation Diffraction loss calculation Additional losses calculation Reflection and Multipath analysis Anticorrelation analysis for antenna diversity parameters calculation Fresnel zones analysis Visual point-to-point link analysisVisual point-to-point link analysis Quick display of profile and its main characteristics with Dynamic Path Profile
  12. 12. Visibility Analysis Planning of Transmission Networks Visibility is determined by clearance – the distance between antenna centerline and the highest obstacle Calculates: Visibility from multiple objects Fresnel visibilityFresnel visibility Required receiver height Clearance value Fresnel clearance
  13. 13. Radio Links Design and Management Planning of Transmission Networks Point-to-point and point-to-multipoint radio links creation One-way or duplex radio links Configuration and adjustment of transmitter- receiver parameters: Radio channels Diversity Protection Reflective and back-to-back antenna repeatersReflective and back-to-back antenna repeaters
  14. 14. Radio Link Properties Planning of Transmission Networks Radio Links toolbar provides functionality for editing and predicting performance of radio linkslinks
  15. 15. Supported Radio Link Configurations Planning of Transmission Networks Point-to-Point Point-to-Multipoint
  16. 16. Planning of Transmission Networks Power Budget Analysis Propagation loss and power budget calculations at the receiver side Power budget analysis describes: Received signal level Total gains and losses Thermal and composite fade margins Signal-to-noise ratio (SNR) Resulting average bit error rate (BER) The calculations take into account: Antenna discriminationAntenna discrimination Attenuation of feeders, passive components
  17. 17. Planning of Transmission Networks Link Performance Prediction Results
  18. 18. Planning of Transmission Networks Power Flux Density Analysis Calculates power flux density distribution along the radio link route
  19. 19. Interference Analysis Planning of Transmission Networks Interference calculation between the radio links: Interference level estimation Net filter discrimination loss Interference objectives for co- and adjacent-channels and fade margin loss assessment. Scattering analysis calculates mutual interference between intersecting radio paths due to terrain scattering
  20. 20. Identifies the minimum number of carriers required to serve selected radio links within a given interference threshold The interference threshold: Absolute interference level Signal-to-interference ratio Fade margin loss Automatic Radio Link Frequency Planning Planning of Transmission Networks Tx Rx
  21. 21. Planning of Cellular Mobile Networks
  22. 22. Planning of Cellular Mobile Networks (GSM, TETRA and etc.) Network Data Configuration Propagation Models Nominal Frequency Planning Interference Analysis Automatic Frequency PlanningAutomatic Frequency Planning
  23. 23. Network Data Configuration Sites The Site represents geographical location of a radio station. Sectors Sectors represent antenna mounting point at Site. Planning of Cellular Mobile Networks Constructions Constructions represent antenna mounting point, when base station is located on top of building.
  24. 24. Nominal Frequency Planning Planning of Cellular Mobile Networks Cell Nominal Plan Frequency Plan Unique Cells Site Templates
  25. 25. Propagation Models Planning of Cellular Mobile Networks Based on ITU-R, ETSI and COST 231 standards and recommendations for frequencies from about 150 MHz to about 40 GHz. Line of Sight type models Hata type models COST 231 type models Clutter Clutter COST 231 type models SUI type models Ability to combine propagation models implement additional prediction models. Radio tower Obstacle Clutter LOS OLOS OOLOS CLOS COLOS
  26. 26. Coverage Calculation Results Field Strength, dBm Best Server Planning of Cellular Mobile Networks
  27. 27. Drive Test Analysis Planning of Cellular Mobile Networks
  28. 28. Interference Analysis Planning of Cellular Mobile Networks Total C/I and C/A interference coverages calculation Coverage of interference for each channel calculation Quick check of C/I and C/A interference between selected sectors Calculation of C/I matrix
  29. 29. Automatic Frequency Planning (AFP) AFP operations: Release of interfering co- and adjacent channels; Release of intra-cell adjacent channels; Assign non-interfering co- and adjacent channels; Manual channels release based Planning of Cellular Mobile Networks Manual channels release based on generalized interference information; AFP input data and parameters: Neighborhood matrix Locked channels (release ch.) ; Channels list (assign ch.); Release and assign channel conditions.
  30. 30. Planning of Broadcasting Networks
  31. 31. BROADCASTING: Radio (DAB, etc.) Television (DVB-T, DVB-T2, etc.) Other single or multiple frequency networks Cellular Expert covers the following technologies: Broadcasting Network Planning Other single or multiple frequency networks
  32. 32. Broadcasting Network Planning Network Data Configuration SFN Coverage Signal Delay Coverage Probability Tasks solved by Cellular Expert: Coverage Probability Population coverage statistics Service Area and SIR, SNIR
  33. 33. (SFN) Single Frequency Network Coverage Composite coverage for each defined channel Signal Delay Probability Unwanted signal field strength Wanted signal field strength Planning of Broadcasting Networks Unwanted signal field strength
  34. 34. Signal delay calculation Estimation of network equipment and multipath delay Various result’s symbolization Signal Delay: Main signal source Planning of Broadcasting Networks Main signal delay time
  35. 35. Coverage Probability Coverage probability analysis for defined receiver sensitivity Update field strength according to your coverage probability needs Wanted signal field strength Coverage probability Planning of Broadcasting Networks Wanted signal field strength with defined probability
  36. 36. SIR, SNR and Service Area Wanted and Unwanted (interfering) signals ratio (SIR); Wanted and Unwanted with Thermal noise ratio (SNR); Noise factor to include equipment Service area Signal Noise Ratio Planning of Broadcasting Networks influence Service area
  37. 37. Planning of 3G+ Networks
  38. 38. Network Configuration Nominal Planning Coverage Prediction Automated Task Processing Planning of 3G+ networks
  39. 39. System parameters: System type: • IS-95 • CDMA2000 • EV-DO • UMTS • HSPA System power allocation Network Configuration Planning of 3G+ networks System power allocation Multiple carrier planning Mobile station parameters: Power budget Traffic data
  40. 40. Cell capacity calculation based on: • Required coverage area, • Number of users, • Traffic demand throughput, • Number of base stations. Calculation of required network equipment configuration and cell dimensions. Different cell placement patterns. Nominal Planning Planning of 3G+ networks Different cell placement patterns.
  41. 41. Coverage Prediction Planning of 3G+ networks 3G(WCDMA, CDMA2000), 3G+(HSPA) coverage calculations: Received signal strength, Best server area, Ec/Io, Ec/No, Pilot pollution, Soft and softer handoff, Cell loading, Throughput for DL and UL, Number of users per cell Traffic service areas for DL and UL, Received Eb/No Required power of user equipment, Total noise and noise rise, HSDPA SINR and data rate
  42. 42. Automated Task Processing Planning of 3G+ networks Dedicated for large volume 3G network calculations User-defined calculation tasks used for batch processing Each task can use different prediction model or any other settings used for calculation.
  43. 43. Monte Carlo Traffic simulations
  44. 44. Monte Carlo Traffic Simulation Tool Used for predicting cell capacity Currently supports UMTS, HSDPA and LTE networks Based on statistical analysis of randomly generated mobile users Radio ChannelUE Node B / RNC Buffer 1 Buffer 2 Buffer 3 SNR -> CQI -> TBS Radio ChannelUE Node B / RNC Buffer 1 Buffer 2 Buffer 3 SNR -> CQI -> TBS
  45. 45. Main Simulation Results Monte Carlo Traffic Simulations Cell throughput dependence on the number of active users Carried/offered traffic ratio Maximum number of supported users per cell User throughput rasters
  46. 46. Planning of WiMAX Networks
  47. 47. Planning of WiMAX networks Frequency Planning Coverage Prediction Adaptive Modulation Throughput, Spectral Efficiency and Power Budget calculation Automated Cell Planning Automated Site Candidates Selection
  48. 48. Signal prediction models for WiMAX Prediction model Calculation distance Frequency SUI 70 km ~2 – 5 GHz Cost 231 Hata with ITU-R. P 529 100 km ~150 MHz – 2 GHz Line Of Sight 100 km ~700 MHz – 40 GHz Cost 231 WI 0.02 – 5 km ~800 MHz – 2 GHz Erceg 0.1 – 8 km ~1.9 – 3.5 GHZ Planning of WiMAX networks
  49. 49. Automated Site Candidates Selection Finds optimal number of operating sites according to the signal quality requirements, Connects fixed or nomadic WiMAX customers to the serving sites according either to visibility or the required signal strength conditions. Planning of WiMAX networks
  50. 50. Coverage Prediction SUI (Stanford University Interim) prediction model. Combination with Line-of-Sight model, Includes correction factors due to diffraction, clutter and building penetration loss. MIMO and other newest antenna technologies to reduce interference, improve coverage and throughput. Planning of WiMAX networks
  51. 51. Adaptive Modulation and Throughput Modulation parameters for each radio equipment model. WiMAX frame parameters configuration . Adaptive Modulation with or without CINR interference evaluation. Calculation of throughput, spectral efficiency and data rate coverage. Planning of WiMAX networks
  52. 52. Frequency planning of WiMAX network Frequency Reuse (Mobile WiMAX) Fractional Frequency Reuse Carrier-to-noise + interference ratio calculation Planning of WiMAX networks
  53. 53. Planning of LTE Networks
  54. 54. LTE Network Planning Functionality LTE coverage prediction (RSRP, RSRQ, RS-SINR, etc.) MIMO antenna support OFDM and fractional frequency reuse LTE Monte Carlo traffic simulations
  55. 55. LTE Coverage Predictions For LTE networks the following coverage rasters can be calculated: - RSRP (Reference Signal Received Power) - RSRQ (Reference Signal Received Quality) Planning of LTE networks - Best servers - RS-SINR - DL data rate - Coverage probability
  56. 56. LTE Coverage Predictions - RSRP Reference signal received power coverage prediction Planning of LTE networks
  57. 57. LTE Coverage Predictions – RS-SINR Signal to interference plus noise ratio of reference signal Planning of LTE networks
  58. 58. LTE Coverage Predictions – DL Data Rate Average data rate in downlink map including effects of MIMO and interference Planning of LTE networks
  59. 59. MIMO Antenna Performance • Multiple antenna configurations can be used to increase signal coverage, traffic throughput and reduce interference. • Transmitter/receiver diversity and beam forming configurations are supported MIMO MODE ANTENNA CONFIGURATION COVERAGE GAIN, DB THROUGHPUT FACTOR SNR GAIN, DB Interference Planning of LTE networks MIMO MODE CONFIGURATION Diversity Gain, dB Multiplexing Gain Interference Reduction Factor, dB DL UL DL UL DL UL SIMO Rx div 1x2 3 0 1 1 0 0 MISO Tx div 2x1 3 3 1 1 0 0 OL-MIMO 2x2 3 3 1.9 1 0 0 4x2 6 3 1.9 1 0 0 4x4 6 6 3.8 1 0 0 Beamforming 4x4 3 3 1 1 6 3
  60. 60. Fractional Frequency Reuse - Fractional frequency reuse enables allocation of different powers to OFDM subbands for cell center and cell edge users, thus reducing interference - Fractional Frequency Reuse (FFR) and Soft Frequency Reuse (SFR) schemes available - Subband and subcarrier allocation options: Planning of LTE networks - Subband and subcarrier allocation options: Subband Power Subcarriers 1 80 <- for FFR 3 120 (equal powers) 1 Low 100 2 Low 100 <- for SFR 3 High 100 1 31 80 2 38 80 <- for SFR 3 31 140
  61. 61. LTE Monte Carlo Traffic Simulations Tx Rx Frequency, subcarriers, resource blocks Time,symbols MIMO - OFDMA Gain NTx NRx • Used for predicting cell capacity • LTE simulation takes into account MIMO antenna and Planning of LTE networks User 1 User 2 User 3 Time,symbols account MIMO antenna and OFDMA modulation gains • Proportionally fair scheduling takes advantage of high SNR regions to maximize capacity
  62. 62. 3D Analysis
  63. 63. Reports
  64. 64. Customer Case Studies
  65. 65. Implemented Telecommunication Solutions Case studies • Mobile Network Operator – SoftBank, Japan • Mobile Network Operator – Bit÷, Lithuania • Telecom Operator - TEO LT, Lithuania• Telecom Operator - TEO LT, Lithuania • Telecommunication Agency – HAT, Croatia • Telecommunication Agency – CTiTi, Catalonia • Broadcasting Company – Teracom, Sweden • Power Company – Lietuvos Energija, Lithuania • Ball State University, USA
  66. 66. Case study: SoftBank Mobile Corp., Japan • Major Mobile Network Operator in Japan • Cellular Expert user since 2008 • Cellular Expert used for automated precise planning of complex mobile network, processing of large amounts of data • Benefits: saved time; high quality radio network
  67. 67. Case study: Bit÷ Group, Lithuania GSM/3G Mobile Operator in Lithuania and Latvia Lithuania operations from 1995 GSM coverage 99% territory 3G (HSPA 7.2Mbits/1.4Mbits) ~35 cities ~ 1mln. subs ~ 40% business market Latvia Operations from 2005 GSM coverage 96% territory 3G (HSPA 7.2Mbits/1.4Mbits) ~10 cities ~ 0.3mln. subs.~ 0.3mln. subs. First Cellular Expert user – since 1995, uses 11 seats of Cellular Expert Cellular Expert used for : • Network planning • Network optimization • Transmission links planning • Using Cellular Expert in Enterprise GIS environment: • Customer Care application • Business analysis (drop calls and payback analysis) • Interfaces to legacy systems (inventory, drive-tests, network monitoring systems)
  68. 68. Case study: TEO LT, Lithuania Incumbent Telecom Operator in Lithuania TEO LT is the largest provider of the Internet and public fixed-line telephony services in Lithuania. TEO LT, belongs to the leading Nordic and Baltic telecommunications group TeliaSonera AB. TEO LT, offers to private and business customers in Lithuania services within fixed-line telephony, Internet, data communication, networks interconnection, digital TV and IT services. Project scope: Implementation of enterprise Network Inventory System. Network inventory business object is based on Microsoft SQL platform and Geographical data business object (TelGIS) isGeographical data business object (TelGIS) is based on ESRI platform. There is a tight integration and flexible interface between these business objects allowing TEO LT to reach set business targets. This solution has significantly lowered the costs and terms of data input because of ability to input both inventory and geographical data simultaneously by several divisions of the company. TelGIS system is dedicated to duct network inventory data management and management of geographical location of network elements. Currently TEO LT uses more than 10 ArcMAP based seats and over 400 web based seats with editing capabilities.
  69. 69. Case study: HAKOM, Croatia National Telecommunication Agency of Croatia Cellular Expert user since 2005, uses 4 seats of Cellular Expert Implementation project consisted of: • Cellular Expert customization and installation; • Development of the tool for the radio transmission network data (base stations, radio equipment, antenna patterns, frequency plans, etc.) importstations, radio equipment, antenna patterns, frequency plans, etc.) import from XLS file and export back to XLS format; • Preparation of documentation; • Trainings Cellular Expert used for: • RF data exchange with local Telco operators • Radio Spectrum Analysis and Management
  70. 70. Case study: CTiTi, Catalonia National Telecommunication Agency of Catalonia Cellular Expert user since 2009, uses 1 Cellular Expert UMTS license; Cellular Expert used for: • Simulation of coverage for the new technologies such as UMTS and HSDPA • Publishing of simulated coverage on the web
  71. 71. Case study: Teracom, Sweden National Broadcasting company Teracom offers various technical infrastructures and network solutions for the distribution of media and communication between people and companies – anywhere, anytime. Company’s main product areas are radio and TV broadcasting, Pay-TV offerings, transmission capacity for data connections as well as co-location and service. Teracom distributes radio and TV to households nationwide in Sweden. The terrestrial digital broadcasts cover 99.8 % of households. In the Pay-TV segment, services are offered through the subsidiary Boxer TV-Access. Cellular Expert user since 2007, uses 4 seats of Cellular ExpertCellular Expert user since 2007, uses 4 seats of Cellular Expert Cellular Expert project scope: Implementation of enterprise Microwave network planning tool and data import from external files into Cellular Expert database. The following datasets were imported: Radio link connectivity data, Radio equipment data including antenna patterns, radio models and channels, feeders and Frequency plans. Network size: approximately 4000 radio links
  72. 72. Case study: Lietuvos Energija, Lithuania Complete Network information system has been developed for Lithuania Energy. The primary scope of the System is inventory of current network equipment and planning of the network. The project goals: • Create unified information system for all network types (optical, copper and wireless) that are being operated by Lithuania Energy • Create workflow management system for network planning• Create workflow management system for network planning tasks • Create Interfaces to legacy systems • GIS data integration into Network information system • Staff training The system consists of: • Cellular Expert (used for wireless transmission planning), • Telcordia’s Network Engineer and ArcGIS Server based network data viewer
  73. 73. Case study: Ball State University, USA Ball State University, (Muncie, USA), the third-largest public university in Indiana The goal of the project called “Digital Middletown” - to plan and build wireless network connecting students’ households to the university network allowing students to attend virtual classes and communicate with teachers and friends straight form their houses. WiMAX technology was used for connecting the central University site to remote sites, from which local distribution of WiFi signal reaching the end-users was done.
  74. 74. Cellular Expert Web Applications
  75. 75. Cellular Expert Network Viewer
  76. 76. Cellular Expert Viewer
  77. 77. Cellular Expert Web Profile
  78. 78. Enterprise Dashboard. Network KPI’s
  79. 79. Enterprise Dashboard. General KPI’s
  80. 80. Enterprise Dashboard. KPI Charts
  81. 81. Demonstration
  82. 82. Thank you! Questions?Questions? cellexp@hnit-baltic.lt www.cellular-expert.com +370 5 2150575

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