GIS Applied to Mobile Technology

82
Cellular Expert GIS applied to mobile technology mobile technology Vidas Gruodis Sales & Marketing Manage Telecommunication Solutio HNIT-BALTIC

description

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

Transcript of GIS Applied to Mobile Technology

Page 1: GIS Applied to Mobile Technology

Cellular ExpertGIS applied to

mobile technologymobile technology

Vidas Gruodis

Sales & Marketing Manager

Telecommunication Solutions

HNIT-BALTIC

Page 2: GIS Applied to Mobile Technology

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 marketfocusing 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 ofimplementation and customization services

� Microsoft Gold Certified Partner

� Oracle Gold Certified Partner

Page 3: GIS Applied to Mobile Technology

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

Page 4: GIS Applied to Mobile Technology

Cellular Expert: Users & Supported Technologies

Cellular 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

Page 5: GIS Applied to Mobile Technology

Cellular Expert Customers & Partners50 Cellular Expert Resellers all over the world.90+ Cellular Expert customers in 35 countries

Page 6: GIS Applied to Mobile Technology

Cellular Expert Customers

Page 7: GIS Applied to Mobile Technology

Cellular Expert EnvironmentSingle-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

Page 8: GIS Applied to Mobile Technology

Cellular Expert Product Family

Page 9: GIS Applied to Mobile Technology

Planning of Transmission Networks

Page 10: GIS Applied to Mobile Technology

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

Page 11: GIS Applied to Mobile Technology

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 analysis�Visual point-to-point link analysis�Quick display of profile and its main

characteristics with Dynamic Path Profile

Page 12: GIS Applied to Mobile Technology

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 visibility� Fresnel visibility� Required receiver height� Clearance value� Fresnel clearance

Page 13: GIS Applied to Mobile Technology

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 repeaters �Reflective and back-to-back antenna repeaters

Page 14: GIS Applied to Mobile Technology

Radio Link Properties

Planning of Transmission Networks

Radio Links toolbar provides functionality for editing and predicting performance of radio linkslinks

Page 15: GIS Applied to Mobile Technology

Supported Radio Link Configurations

Planning of Transmission Networks

Point-to-Point Point-to-Multipoint

Page 16: GIS Applied to Mobile Technology

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 discrimination �Antenna discrimination �Attenuation of feeders, passive components

Page 17: GIS Applied to Mobile Technology

Planning of Transmission Networks

Link Performance Prediction Results

Page 18: GIS Applied to Mobile Technology

Planning of Transmission Networks

Power Flux Density Analysis

Calculates power flux density distribution along the radio link route

Page 19: GIS Applied to Mobile Technology

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

Page 20: GIS Applied to Mobile Technology

� 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

Page 21: GIS Applied to Mobile Technology

Planning of Cellular Mobile Networks

Page 22: GIS Applied to Mobile Technology

Planning of Cellular Mobile Networks (GSM, TETRA and etc.)

� Network Data Configuration

� Propagation Models

� Nominal Frequency Planning

� Interference Analysis

� Automatic Frequency Planning� Automatic Frequency Planning

Page 23: GIS Applied to Mobile Technology

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.

Page 24: GIS Applied to Mobile Technology

Nominal Frequency Planning

Planning of Cellular Mobile Networks

� Cell Nominal Plan� Frequency Plan� Unique Cells� Site Templates

Page 25: GIS Applied to Mobile Technology

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

Page 26: GIS Applied to Mobile Technology

Coverage Calculation Results

Field Strength, dBm Best Server

Planning of Cellular Mobile Networks

Page 27: GIS Applied to Mobile Technology

Drive Test Analysis

Planning of Cellular Mobile Networks

Page 28: GIS Applied to Mobile Technology

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

Page 29: GIS Applied to Mobile Technology

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 basedon generalized interferenceinformation;

AFP input data and parameters:� Neighborhood matrix� Locked channels (release ch.) ;� Channels list (assign ch.);� Release and assign channel

conditions.

Page 30: GIS Applied to Mobile Technology

Planning of Broadcasting Networks

Page 31: GIS Applied to Mobile Technology

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

Page 32: GIS Applied to Mobile Technology

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

Page 33: GIS Applied to Mobile Technology

(SFN) Single Frequency Network Coverage

� Composite coverage for

each defined channel

� Signal Delay

� ProbabilityUnwanted signal field strength

Wanted signal field strength

Planning of Broadcasting Networks

Unwanted signal field strength

Page 34: GIS Applied to Mobile Technology

� 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

Page 35: GIS Applied to Mobile Technology

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

Page 36: GIS Applied to Mobile Technology

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

influenceService area

Page 37: GIS Applied to Mobile Technology

Planning of 3G+ Networks

Page 38: GIS Applied to Mobile Technology

� Network Configuration� Nominal Planning� Coverage Prediction� Automated Task Processing

Planning of 3G+ networks

Page 39: GIS Applied to Mobile Technology

� 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

Page 40: GIS Applied to Mobile Technology

� 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.

Page 41: GIS Applied to Mobile Technology

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

Page 42: GIS Applied to Mobile Technology

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.

Page 43: GIS Applied to Mobile Technology

Monte Carlo Traffic simulations

Page 44: GIS Applied to Mobile Technology

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 Channel

UE Node B / RNC

Buffer 1

Buffer 2

Buffer 3

SNR -> CQI -> TBS

Radio Channel

UE Node B / RNC

Buffer 1

Buffer 2

Buffer 3

SNR -> CQI -> TBS

Page 45: GIS Applied to Mobile Technology

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

Page 46: GIS Applied to Mobile Technology

Planning of WiMAX Networks

Page 47: GIS Applied to Mobile Technology

Planning of WiMAX networks� Frequency Planning� Coverage Prediction� Adaptive Modulation� Throughput, Spectral Efficiency and Power Budget calculation� Automated Cell Planning� Automated Site Candidates Selection

Page 48: GIS Applied to Mobile Technology

Signal prediction models for WiMAXPrediction 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

Page 49: GIS Applied to Mobile Technology

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

Page 50: GIS Applied to Mobile Technology

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

Page 51: GIS Applied to Mobile Technology

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

Page 52: GIS Applied to Mobile Technology

Frequency planning of WiMAX network� Frequency Reuse (Mobile WiMAX)

� Fractional Frequency Reuse

� Carrier-to-noise + interference ratio calculation

Planning of WiMAX networks

Page 53: GIS Applied to Mobile Technology

Planning of LTE Networks

Page 54: GIS Applied to Mobile Technology

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

Page 55: GIS Applied to Mobile Technology

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

Page 56: GIS Applied to Mobile Technology

LTE Coverage Predictions - RSRPReference signal received power coverage prediction

Planning of LTE networks

Page 57: GIS Applied to Mobile Technology

LTE Coverage Predictions – RS-SINRSignal to interference plus noise ratio of reference signal

Planning of LTE networks

Page 58: GIS Applied to Mobile Technology

LTE Coverage Predictions – DL Data RateAverage data rate in downlink map including effects of MIMO and interference

Planning of LTE networks

Page 59: GIS Applied to Mobile Technology

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 MODEANTENNA

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

Page 60: GIS Applied to Mobile Technology

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

Page 61: GIS Applied to Mobile Technology

LTE Monte Carlo Traffic Simulations

Tx Rx

Frequency, subcarriers, resource blocks

Tim

e,

sym

bo

ls

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

Tim

e,

sym

bo

lsaccount MIMO antenna and OFDMA modulation gains

• Proportionally fair scheduling takes advantage of high SNR regions to maximize capacity

Page 62: GIS Applied to Mobile Technology

3D Analysis

Page 63: GIS Applied to Mobile Technology

Reports

Page 64: GIS Applied to Mobile Technology

Customer Case Studies

Page 65: GIS Applied to Mobile Technology

Implemented Telecommunication SolutionsCase 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

Page 66: GIS Applied to Mobile Technology

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

Page 67: GIS Applied to Mobile Technology

Case study: Bit÷ Group, LithuaniaGSM/3G Mobile Operator in Lithuania and Latvia

Lithuania

operations from 1995GSM coverage 99% territory3G (HSPA 7.2Mbits/1.4Mbits) ~35 cities~ 1mln. subs~ 40% business marketLatvia

Operations from 2005GSM coverage 96% territory3G (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)

Page 68: GIS Applied to Mobile Technology

Case study: TEO LT, LithuaniaIncumbent 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. TEOLT, 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 InventorySystem. Network inventory business object isbased on Microsoft SQL platform andGeographical data business object (TelGIS) isGeographical data business object (TelGIS) isbased on ESRI platform. There is a tightintegration and flexible interface between thesebusiness objects allowing TEO LT to reach setbusiness targets. This solution has significantlylowered the costs and terms of data input becauseof ability to input both inventory and geographicaldata simultaneously by several divisions of thecompany. TelGIS system is dedicated to ductnetwork inventory data management andmanagement of geographical location of networkelements. Currently TEO LT uses more than 10ArcMAP based seats and over 400 web basedseats with editing capabilities.

Page 69: GIS Applied to Mobile Technology

Case study: HAKOM, CroatiaNational 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 (basestations, radio equipment, antenna patterns, frequency plans, etc.) importstations, radio equipment, antenna patterns, frequency plans, etc.) importfrom 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

Page 70: GIS Applied to Mobile Technology

Case study: CTiTi, CataloniaNational 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

Page 71: GIS Applied to Mobile Technology

Case study: Teracom, SwedenNational Broadcasting company

Teracom offers various technical infrastructures and network solutions for the distribution of mediaand communication between people and companies – anywhere, anytime.

Company’s main product areas are radio and TV broadcasting, Pay-TV offerings, transmissioncapacity for data connections as well as co-location and service. Teracom distributes radio and TV tohouseholds nationwide in Sweden. The terrestrial digital broadcasts cover 99.8 % of households. Inthe 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 fromexternal files into Cellular Expert database. The following datasets were imported:

Radio link connectivity data, Radio equipment data including antenna patterns, radiomodels and channels, feeders and Frequency plans.

Network size: approximately 4000 radio links

Page 72: GIS Applied to Mobile Technology

Case study: Lietuvos Energija, LithuaniaComplete Network information system has been developed forLithuania Energy. The primary scope of the System isinventory of current network equipment and planning of thenetwork.

The project goals:• Create unified information system for all network types

(optical, copper and wireless) that are being operated byLithuania Energy

• Create workflow management system for network planning• Create workflow management system for network planningtasks

• 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

Page 73: GIS Applied to Mobile Technology

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 connectingstudents’ households to the university network allowing students to attend virtual classes andcommunicate with teachers and friends straight form their houses.

WiMAX technology was used for connecting the central University site to remote sites, from whichlocal distribution of WiFi signal reaching the end-users was done.

Page 74: GIS Applied to Mobile Technology

Cellular Expert Web Applications

Page 75: GIS Applied to Mobile Technology

Cellular Expert Network Viewer

Page 76: GIS Applied to Mobile Technology

Cellular Expert Viewer

Page 77: GIS Applied to Mobile Technology

Cellular Expert Web Profile

Page 78: GIS Applied to Mobile Technology

Enterprise Dashboard. Network KPI’s

Page 79: GIS Applied to Mobile Technology

Enterprise Dashboard. General KPI’s

Page 80: GIS Applied to Mobile Technology

Enterprise Dashboard. KPI Charts

Page 81: GIS Applied to Mobile Technology

Demonstration

Page 82: GIS Applied to Mobile Technology

Thank you!

Questions?Questions?

[email protected]

+370 5 2150575