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E-plus meets Tulinx Date: 18 April 2012 Location: Düsseldorf (Germany) TULINX Your IT Partner for Intelligent Optimisation solutions Introduction
16

Tulinx Introduction 20120417

Aug 11, 2015

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Page 1: Tulinx Introduction 20120417

E-plus meets Tulinx

Date: 18 April 2012 Location: Düsseldorf (Germany)

TULINX Your IT Partner for

Intelligent Optimisation solutions

Introduction

Page 2: Tulinx Introduction 20120417

Introduction: TULINX B.V.

18 April 2012 2

We provide IT solutions and a toolbox to automate your Optimisation

3rd party

AWACS

Web Client

MINERVA

Data Warehouse

PM

FM

CORE

DriveTest

cluster

CM

3rd party

GIS

CDR

Radio-NDA

Web Client

Minerva

Process

and

Processing

Modules

Extract Transform Load GUI

Page 3: Tulinx Introduction 20120417

SOLUTIONS/TOOLBOX

18 April 2012 3

YOUR NETWORK

DATA

VISUALISE

PERFORMANCE

ASSISTED OPTIMISATION

SELF OPTIMISATION

Page 4: Tulinx Introduction 20120417

With AWACS

• View KPI’s, Trends, Neighbours, etc…

• All network elements and All trends are accessible

• Modular setup (Chart, GIS, TOP N, etc)

• Very clean, powerful and efficient web interface

• Hybrid solutions and customisation possible

• Multi-vendor, Multi-technology

Visualise all network performance now and in the future

18 April 2012 4

Page 5: Tulinx Introduction 20120417

AWACS USE CASES :

• Real-Time Performance Monitoring

• Incident/Trend analysis

• Performance or Quality Reporting

• Site Integration

• Before/After analysis e.g. RAN swaps

• Pilots and special projects

Visualise all network performance now and in the future

18 April 2012 5

Page 6: Tulinx Introduction 20120417

Automated Analyses of network performance for 2G, 3G, 4G and beyond

18 April 2012 6

With Radio-Network Data Analyzer

• Integration of any available data

• Automated Analysis by Correlation

• Rule-based triggering

• Prioritisation of network issues

• Follow-up and Workflow

• Rich data context (+ AWACS “cockpit”)

• Adaptable and Customisable

Page 7: Tulinx Introduction 20120417

Automated Analyses of network performance for 2G, 3G, 4G and beyond

• Cell Availability

• Manual down

• Auto down Availability

• BAD CSSR, CCR for Speech, Packet over 1 or more days

• Avg. RSSI Too Low/Too High

• HSDPA Access Probability, Bad EUL drop rate

• E1 Congestion, No RRC connections

Performance (daily)

• Increase Drop rate over 4 weeks

• RXQUAL67 DL/UL increase over 4 weeks

• PCHAGCH Blocking Performance (weekly)

• Bad SC within x km or for neighbor

• Non symmetrical NB relation

• NB relation distance larger then x km

• Relation added/deleted

Configuration

18 April 2012 7

Rule-based trigger examples

Page 8: Tulinx Introduction 20120417

Automated Analyses of network performance for 2G, 3G, 4G and beyond

Radio-NDA Use Cases

• Performance reporting

• Optimisation

• Cluster Optimisation

• Special Events

• SLA management

• Capacity Management

• Configuration checks

18 April 2012 8

Page 9: Tulinx Introduction 20120417

Roadmap

Analyse subscriber traffic & experience

Intelligent SELF OPTIMISATION (iSON)

18 April 2012 9

Page 10: Tulinx Introduction 20120417

Analyse subscriber traffic & experience

18 April 2012 10

With AWACS

• Visualise Traffic and Device based on CDR’s

• Show device performance installed base

• Create individual customer experience overview

• Keep track of large account group (SLA)

• Analyse roaming behaviour

Page 11: Tulinx Introduction 20120417

Intelligent SELF OPTIMISATION (iSON)

18 April 2012 11

OTHER

- Objectives /Targets

- Customer Data

- Coverage simulations Automated

Analysis

Data

SON functions

SON

Coordinator/Pilot Automated, Optimised parameters

REPORTING

-KPI/QoS

-Automated SON functions

-Not automated issues/tasks

- Engineer Assistant

- Switch on/off automated tasks

AWACS

Page 12: Tulinx Introduction 20120417

Intelligent SON Coordinator/Pilot function

SON Feature

Proposal 1

Proposal 2

Proposal 3

Automatically

generated proposals

Engineer decides what to do

Change Implementation

Proposals can be customized (via scripting)

Engineer decides what to do (responsibility)

Proposals can be automated by engineer

Page 13: Tulinx Introduction 20120417

iSO

N

Intelligent SON Coordinator/Pilot function

SON feature

Proposal 1

Proposal 2

Proposal 3

Engineer has automated proposal 3

Automated Optimisation

Engineer has decided that proposal 3 can be automated

Results of automated proposals should be monitored

Page 14: Tulinx Introduction 20120417

WHY AUTOMATE WITH TULINX

Supports One Network Multi Vendor

Flexible Customisable

Modular

Usability Performance

Scalable

Future-Proof

18 April 2012 14

Page 15: Tulinx Introduction 20120417

Possible Next steps

• Meeting

• Pilot processing with Your data

• Trial

• ...

18 April 2012 15

Page 16: Tulinx Introduction 20120417

18 April 2012 16

Thank you

Saal van Zwanenbergweg 11 5026 RM Tilburg The Netherlands

+31 13 504 6127

[email protected]