cellular_expert

7/27/2019 Cellular_Expert

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Cellular Expert

Product Presentation


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AboutHNIT-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,

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


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Planning

Design Optimization

New technology/service

Sharing

Network viewer Customer care

Marketing campaigns

Sales

Mapping performance (KPI)

Network

Complaints

Sales

Marketing effectiveness

Cellular Expert wireless network management

solution


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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


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Cellular Expert Customers & Partners

50 Cellular Expert Resellers all over the world.

100+ Cellular Expert customers in 37 countries


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Cellular Expert Customers


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Cellular Expert EnvironmentSingle-userenvironment with personal database:

ArcView 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-userenvironment on a central database: ArcEditor 10

Spatial Analyst (for Standard, UMTS, WiMAX, Professional and Enterprise licenses)

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


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Cellular Expert Product Family


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Planning ofTransmission Networks


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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


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Radio Path Profiling


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

Quick display of profile and its main

characteristics with Dynamic Path Profile


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VisibilityAnalysis


Visibility is determined by clearance thedistance between antenna centerline and the

highest obstacle

Calculates:

Visibility from multiple objects

Fresnel visibility

Required receiver height

Clearance value

Fresnel clearance


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Radio Links Design and Management


Point-to-point and point-to-multipoint radio linkscreation

One-way or duplex radio links

Configuration and adjustment of transmitter-

receiver parameters:

Radio channels

Diversity

ProtectionReflective and back-to-back antenna repeaters


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Radio Link Properties


Radio Links toolbar

provides functionality

for editing and

predicting

performance of radiolinks


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Supported Radio Link Configurations


Point-to-Point Point-to-Multipoint


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Power BudgetAnalysisPropagation 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

Attenuation of feeders, passive components


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Link Performance Prediction Results


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Power Flux DensityAnalysis

Calculates power

flux density

distribution along the

radio link route


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InterferenceAnalysis


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


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Identifies the minimum number of carriers required to serve selected radio links within agiven interference threshold

The interference threshold:

Absolute interference level

Signal-to-interference ratio

Fade margin loss

Automatic Radio Link FrequencyPlanning


Tx

Rx


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Planning ofCellular Mobile Networks


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Planning ofCellular Mobile Networks(GSM, TETRA and etc.)

Network Data Configuration

Propagation Models

Nominal Frequency Planning


Automatic Frequency Planning


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SitesThe Site represents geographical

location of a radio station.

SectorsSectors represent antenna mounting

point at Site.

ConstructionsConstructions represent antenna

mounting point, when base station is

located on top of building.



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Nominal Frequency Planning

Planning ofCellular Mobile Network

Cell Nominal Plan Frequency Plan

Unique Cells

Site Templates


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Propagation Models


Based on ITU-R, ETSI and COST 231 standards and recommendations forfrequencies from about 150 MHz to about 40 GHz.

Line of Sight type

models

Hata type models

COST 231 type models

SUI type models

Ability to combine

propagation models

implement additionalprediction models.

Radio tower

Obstacle

Clutter

Clutter

LOS

OLOS

OOLOS

CLOS

COLOS


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Coverage Calculation Results

Field Strength, dBm Best Server



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Drive TestAnalysis



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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 selectedsectors

Calculation of C/I matrix


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Automatic Frequency Planning (AFP)

AFP operations: Release of interfering co- and

adjacent channels;

Release of intra-cell adjacentchannels;

Assign non-interfering co- andadjacent channels;

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.



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Planning ofBroadcasting Networks


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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

B d ti N t k Pl i


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Broadcasting Network Planning


SFN Coverage

Signal Delay

Differentiation and summation

SFN Gain

Coverage Probability

SIR, SNIR

Service Area

Tasks solved by Cellular Expert:

Pl i f B d ti N t k


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Main Signal Calculation:


Main signal sources (first above threshold,

when all satisfy the threshold value)

Main signal sources

(strongest signal)

Delay

1st above thresholdStrongest

Pl i f B d ti N t k


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Differentiation and

summation:


Relativeamplitude

F1

F2

Fn

Predicted

signals from

1,2..n sources

Relativeamplitude

W1*F1

+

W2*F2

Wn*Fn

+ =

Total wanted

Usefull

Relativeamplitud

e

(W1-1)

*F1

+ + = Totaluwanted

(W2-1)

*F1

(W3-1)

*F1

Interfering

Interfering

Useful

Pl i f B d ti N t k


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SFN Gain:


Relativeamplitude

Summed

field strength

(SFN)

Best site field

strength

(as in MFN)

SFN gain

Pl i f B d ti N t k


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Coverage Probability


Relativeamplitude

50% 75% 95%Coverage probability

Predicted

field

strengthPredicted

field

strength

Predicted

field

strength

Fade margin

50% 95%

Coverage probability

Planning of Broadcasting Networks


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Signal to interference and Signal to noise+interference ratios


SIR SNR

Relativeamplitude

Received

usable

signalSelf-

interference

Signal

Interference

Ratio

Calculated SIR

Thermal

noise

Relativeamplitude

Received

usable

signal

Self-

interference

Signal

Noise

Ratio

Calculated SNR

Planning of Broadcasting Networks


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Service Area


Relative

amplitude

Received

usable

signal

Thermal

noise

Self-

interferenc

e

Min. required

field strength

Min. required SNR

Service available

Relative

amplitude

Received

usable

signal

Thermal

noise

Self-

interferenc

e

Min. required

field strength

Min. required SNR

Service unavailable

(self-interference)

Relative

amplitude

Received

usable

signalThermal

noise

Self-

interferenc

e

Min. required

field strength

Min. required SNR

Service unavailable

(too low signal)


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Planning of3G+ Networks


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Network Configuration

Nominal Planning

Coverage Prediction

Automated Task Processing

Planning of3G+ networks

Planning of 3G+ networks


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System parameters:

System type:

IS-95

CDMA2000

EV-DO

UMTS

HSPA

System power allocation

Multiple carrier planning

Mobile station parameters:

Power budget

Traffic data

Network Configuration




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Cell capacity calculation based on:

Required coverage area,

Number of users,

Traffic demand throughput,

Number of base stations.

Calculation of required network equipmentconfiguration and cell dimensions.

Different cell placement patterns.

Nominal Planning




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Coverage Prediction


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



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Automated Task Processing


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.


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Monte Carlo Traffic simulations


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Monte Carlo Traffic Simulation Tool

Radio ChannelUE Node B / RNC

Buffer 1

Buffer 2

Buffer 3

SNR -> CQI -> TBS

Used for predicting cell capacity

Currently supports UMTS, HSDPA and LTE networks

Based on statistical analysis of randomly generated mobile users

Monte Carlo Traffic Simulations


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MainSimulation 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


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Planning ofWiMAXNetworks

Pl i f WiMAX k


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Planning ofWiMAX networks Frequency Planning

Coverage Prediction

Adaptive Modulation Throughput, Spectral Efficiency and Power Budget calculation

Automated Cell Planning

Automated Site Candidates Selection

Planning ofWiMAX networks


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Signal prediction models for WiMAX

Prediction model Calculation distance FrequencySUI 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

g



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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 accordingeither to visibility or the required signal strength conditions.

g



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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, improvecoverage and throughput.

g



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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.

g



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Frequency planning of WiMAX network

Frequency Reuse (Mobile WiMAX)

Fractional Frequency Reuse

Carrier-to-noise + interference ratio calculation

g


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Planning ofLTENetworks

LTE Network Planning Functionality


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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

Planning ofLTE networks


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LTE Coverage Predictions

For LTE networks the following coverage

rasters can be calculated:

- RSRP (Reference Signal Received

Power)

- RSRQ (Reference Signal Received

Quality)- Best servers

- RS-SINR

- DL data rate

- Coverage probability



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LTE Coverage Predictions - RSRP

Reference signal received power coverage prediction



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LTE Coverage PredictionsRS-SINR

Signal to interference plus noise ratio of reference signal



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LTE Coverage PredictionsDL Data Rate

Average data rate in downlink map including effects of MIMO and interference



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MIMO Antenna Performance

Multiple antenna configurations can be used to increase signal coverage, trafficthroughput and reduce interference.

Transmitter/receiver diversity and beam forming configurations are supported

MIMO MODE ANTENNACONFIGURATIONCOVERAGEGAIN, DB THROUGHPUTFACTOR SNR GAIN, DB

Diversity Gain,dB MultiplexingGain

InterferenceReductionFactor, dB

DL UL DL UL DL ULSIMO Rx div 1x2 3 0 1 1 0 0MISO Tx div 2x1 3 3 1 1 0 0OL-MIMO 2x2 3 3 1.9 1 0 0

4x2 6 3 1.9 1 0 04x4 6 6 3.8 1 0 0

Beamforming 4x4 3 3 1 1 6 3



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Fractional Frequency Reuse

Fractional frequency reuse enables allocation of different powers to OFDMsubbands 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:

Subband Power Subcarriers

1 80


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LTE Monte Carlo Traffic Simulations

Tx Rx

User 1 User 2 User 3

Frequency, subcarriers, resource blocks

Time,

symbols

MIMO - OFDMA Gain

NTx NRx

Used for predicting cell capacity

LTE simulation takes into account

MIMO antenna and OFDMA

modulation gains

Proportionally fair scheduling

takes advantage of high SNR

regions to maximize capacity

3D Analysis


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3DAnalysis


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Reports


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CustomerCase Studies


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Cellular Expert Implementation Case Studies

Mobile Network Operator SoftBank, Japan

Mobile Network Operator Bit, Lithuania

Telecom Operator - TEO LT, Lithuania

Telecom Operator - Saudi Telecom Company, Saudi Arabia

Telecommunication Regulation Authority HAKOM, Croatia

Telecommunication Agency CTiTi, Catalonia

Broadcasting Company

Teracom, Sweden Power Company Lietuvos Energija, Lithuania

University - Ball State University, USA

Case study: SoftBank Mobile Corp., Japan


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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

Case study: Bit Group, Lithuania


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

Lithuania

operations from 1995

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

Operations from 2005GSM coverage 96% territory

3G (HSPA 7.2Mbits/1.4Mbits) ~10 cities~ 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)

Case study: TEO LT, Lithuania


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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) 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 thecompany. 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.

Case study: Saudi Telecom Company


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Case study: Saudi Telecom Company

Telecom Operator in Saudi Arabia

Cellular Expert user since 2004

Project Scope:Implementation of multi-user engineering system for Microwave transmission network, fixed wireless

CDMA network and WiMAX network. Project consisted of several stages and was run during years

2004-2007. Network data was collected and imported to the central database, customized reports

engine was created, availability for whole microwave network was calculated; geographical data was

configured for CDMA propagation modeling and prediction models calibrated; WiMAX coverage, best

server and interference coverages were created, maximum adaptive modulation and maximum capacity

coverages were created; network design and customer management processes for fixed WiMAX were

integrated, the system calculates actual/remaining capacity of the site, depending of the type of the user

connected to the base station. Various reports for engineering, roll-out and customer management

teams were produced.

Case study: HAKOM, Croatia


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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.) 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

Case study: CTiTi, Catalonia


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y ,

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

Case study: Teracom, Sweden


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y ,

National Broadcasting company

Teracom offers various technical infrastructures and network solutions for the distribution of media

and communication between people and companies anywhere, anytime.

Companys 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 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

Case study: Lietuvos Energija, Lithuania


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y g j ,

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

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),

Telcordias Network Engineer and ArcGIS Server

based network data viewer

Case study: Ball State University, USA


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y y,

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.


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Cellular Expert Web Applications

Cellular Expert Network Viewer


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Cellular Expert Viewer


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Enterprise Dashboard. Network KPIs


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Enterprise Dashboard. General KPIs


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Enterprise Dashboard. KPI Charts


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Thank you!

[email protected]

+370 5 2150575
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