Nairobi, Kenya, 26 – 27July 2010 Quality of Service Monitoring Tool Tahitii OBIOHA Network Planning & Optimisation Engineer Planet Network International.

Slides:



Advertisements
Similar presentations
EC Admin Functionality Enhancements December 2001 Release
Advertisements

1 Senn, Information Technology, 3 rd Edition © 2004 Pearson Prentice Hall James A. Senns Information Technology, 3 rd Edition Chapter 7 Enterprise Databases.
Advanced Piloting Cruise Plot.
Chapter 1 The Study of Body Function Image PowerPoint
Myra Shields Training Manager Introduction to OvidSP.
Copyright CompSci Resources LLC Web-Based XBRL Products from CompSci Resources LLC Virginia, USA. Presentation by: Colm Ó hÁonghusa.
Nairobi, Kenya, 26 – 27July 2010 EMF MEASURING IN KENYA Derick simiyu khamali Compliance and Enforcement Officer Communications Commission of Kenya ITU-T.
Cotonou, Benin16-17July 2012 OMC/R Raw DATA Christian BLANCHARD CEO Planet Network International ITU-T Workshop on Practical measurement of QoS/QoE Parameters.
Nairobi, Kenya, 26 – 27July 2010 Maintaining Equipment Standards to ensure good QoS Mwende Njiraini Engineer I/NT/LCS Communications Commission of Kenya.
State of New Jersey Department of Health and Senior Services Patient Safety Reporting System Module 2 – New Event Entry.
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13
Exit a Customer Chapter 8. Exit a Customer 8-2 Objectives Perform exit summary process consisting of the following steps: Review service records Close.
Determine Eligibility Chapter 4. Determine Eligibility 4-2 Objectives Search for Customer on database Enter application signed date and eligibility determination.
FACTORING ax2 + bx + c Think “unfoil” Work down, Show all steps.
Year 6 mental test 10 second questions
2010 fotografiert von Jürgen Roßberg © Fr 1 Sa 2 So 3 Mo 4 Di 5 Mi 6 Do 7 Fr 8 Sa 9 So 10 Mo 11 Di 12 Mi 13 Do 14 Fr 15 Sa 16 So 17 Mo 18 Di 19.
Webinar for Inexperienced Registrants Creation of the Substance Dataset and of the Registration Dossier Ricardo Simoes ECHA – Registration &
Proud Members of the Consulting Group, LLC
Richmond House, Liverpool (1) 26 th January 2004.
The Social Buddies Application Jalele Achour External Consultant in Social CRM Powered by.
Service Level Agreement
ABC Technology Project
Microsoft Office Illustrated Fundamentals Unit K: Working with Data.
1 CIFTclinic 1.1 Software for Clinics. 2 CIFTclinic Software for Medical Clinics, which addresses the requirements of practicing doctors to automate Medical.
Chapter 15 Integrated Services Digital Network ISDN Services History Subscriber Access Layers BISDN WCB/McGraw-Hill The McGraw-Hill Companies, Inc., 1998.
© 2005 AT&T, All Rights Reserved. 11 July 2005 AT&T Enhanced VPN Services Performance Reporting and Web Tools Presenter : Sam Levine x111.
1 ITSS This overview deck contains two sections. Please use the links below to navigate –How to Register for ITSS Application AccessHow to Register for.
1 Undirected Breadth First Search F A BCG DE H 2 F A BCG DE H Queue: A get Undiscovered Fringe Finished Active 0 distance from A visit(A)
Chapter 11: The X Window System Guide To UNIX Using Linux Third Edition.
VOORBLAD.
1 Breadth First Search s s Undiscovered Discovered Finished Queue: s Top of queue 2 1 Shortest path from s.
© 2010 Cisco and/or its affiliates. All rights reserved.Presentation_IDCisco Confidential CISCO LEARNING CREDITS MANAGEMENT TOOL CLP ADMINISTRATOR – USER.
BIOLOGY AUGUST 2013 OPENING ASSIGNMENTS. AUGUST 7, 2013  Question goes here!
Factor P 16 8(8-5ab) 4(d² + 4) 3rs(2r – s) 15cd(1 + 2cd) 8(4a² + 3b²)
© 2012 National Heart Foundation of Australia. Slide 2.
Lets play bingo!!. Calculate: MEAN Calculate: MEDIAN
Understanding Generalist Practice, 5e, Kirst-Ashman/Hull
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
25 seconds left…...
Presenteren wij ………………….
Januar MDMDFSSMDMDFSSS
REGISTRATION OF STUDENTS Master Settings STUDENT INFORMATION PRABANDHAK DEFINE FEE STRUCTURE FEE COLLECTION Attendance Management REPORTS Architecture.
Week 1.
Analyzing Genes and Genomes
We will resume in: 25 Minutes.
Module 12 WSP quality assurance tool 1. Module 12 WSP quality assurance tool Session structure Introduction About the tool Using the tool Supporting materials.
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
Essential Cell Biology
Intracellular Compartments and Transport
PSSA Preparation.
VPN AND REMOTE ACCESS Mohammad S. Hasan 1 VPN and Remote Access.
Immunobiology: The Immune System in Health & Disease Sixth Edition
Essential Cell Biology
Chapter 13 The Data Warehouse
How Cells Obtain Energy from Food
Immunobiology: The Immune System in Health & Disease Sixth Edition
Energy Generation in Mitochondria and Chlorplasts
McGraw-Hill©The McGraw-Hill Companies, Inc., 2001 Chapter 16 Integrated Services Digital Network (ISDN)
CpSc 3220 Designing a Database
Introduction to ikhlas ikhlas is an affordable and effective Online Accounting Solution that is currently available in Brunei.
© Copyright Planet Network International SOLUTIONS FOR ADDRESSING THE COMPLEX QoS CHALLENGE RPM SYSTEM Revolutionary QoS monitoring Tool for Telecom Regulators.
Presentation transcript:

Nairobi, Kenya, 26 – 27July 2010 Quality of Service Monitoring Tool Tahitii OBIOHA Network Planning & Optimisation Engineer Planet Network International ITU-T Workshop on Delivering Good Quality Telecommunication Service in a Safe Environment in Africa (Nairobi, Kenya, 26 July – 27 July 2010 )

PLANET NETWORK INTERNATIONAL 2 RPM SYSTEM RPM SYSTEM OVERVIEW Processing Raw Data Results Overview QoS VS Regulators

3 Processing RAW DATA from the OMC-R Tool: RPM SYSTEM PLANET NETWORK INTERNATIONAL

4 1.Objectives of quality of service for regulators 2.The solution put forth by PNI 3.Administrator profile 4.User profile 5.Processing Raw data 6.Results overview 7.Questions SUMMARY

5 Objectives of quality of service for regulators The main role of the regulator amongst others, is The main role of the regulator amongst others, is: To monitor Quality of Service (QoS) of mobile phone operators so that they comply and meet the specifications they have been assigned in the issuance of operating license, and To assist operators, as well as challenging them, in improving the quality of services offered to end-users(subscribers). Definition: Quality of Service can be briefly defined as the measurement of two main indicators : Key Quality Indicators (KQIs) Key Performance indicators (KPIs) Several methods for evaluating the QoS of operators

6 Objectives of quality of service for regulators Regularly monitor and enforce the specifications strictly Ensure a good network coverage and a good voice quality Ensure competition between operators for lowering call prices Communicating the results of the network status to endusers …

7 Current state about measurement of QoS Drive test and/or END TO END measurement are very limited and subjective in that it is mainly outdoors and periodic: o some parts of the territory : buildings, highways and main roads o a given period : once a year for over a month Need for expensive tools that needs to be constantly updated: new technology, new mobile testing… Results are disputed, owing to ineffective control over time

8 How to control QoS ? Voice quality measurement (users perception) Means/ProcessMeans/Process A specific audit = current network status Measurement of Key Performance Indicators (KPIs) and Key Quality indicators(KQIs) Snapshot view Establishing a system of QoS management Permanent Penalties Permanent surveillance Unequivocal

9 The solution put forth by PNI RPM SYSTEM SOLUTION

10 QoS control system System that records each call from each subscriber 24h/24 no matter its location in a given network System at the forefront of Web technology Powerful database system Multi-vendors (compatible with all vendor equipment of operators around the world) Multi-technology : 2G, 3G, 4G … Completely designed to meet the needs of regulators

11 This system provides the following services and more to regulators: Functions of analysis, edition reports and alarms Historic of data by operator Supervision and monitoring monthly for the issuance of penalties against the operator which does not respect the specifications Better quality of service ensured for the end users QoS control system

12 Features of this system: Collecting Raw data counters OMC-R of any equipment Technology based on Web browsing 2.0 Automatic alerts of events by System allowing to send reports automatically by Alarm programming Unequivocal data processing Easy-to-use QoS control system

13 Raw Data coming from Mobile Operator OMC Data Intranet/Internet (secured ssh/https Aministrator User 1User...n Recovery Raw data HOW IT WORKS ? QoS control system

14 User Profile A customizable tool according to each user Homepage User Menu available Exporting results Result of Last month processed

15 User Profile Editing reports after collection and data analysis Factor integrity and reliability of the month 100% of the indicators present for the day 24 hours of data for present day Data missing or not yet integrated for the month

16 User Profile Investigate data easily using Query Builder Fields need for the query Fields selected in our query

17 User Profile The data report Filter level Rich, Interactive and detailed flexible reporting

18 User Profile Result of our query Informative results tabulated by Query Builder

19 User Profile Interactive and flexible graphical reporting generated by Query Builder Graph settings Graph Overview

20 User Profile Interactive visualization of the network on a map GIS (Geographical Information System)

21 User Profile Mapping out severity levels Cellule défectueuse, haut critère de sévérité Cellule défectueuse, critère de sévérité moyen, grosse zone impactée

22 User Profile Interactive visualization of the network on a map GIS 3D Overview (HO SUCCESS RATE) Intervals defined for this KPI Coverage area of cell 347 for this interval

Nairobi, Kenya, 26 – 27 July

24 Processing Raw data Access in console mode with Putty session Management interface of Raw Data Name of Database Directory for processing raw data

25 Results Overview An example using Operator COMIUM ( a mobile operator in Ivory coast) Data processing for the month of December 2009 Reliability of data provided by the operator

26 Results Overview Operator COMIUM : Showing Alarm Results from April to December 2009 Alarm Results

Results Overview Results by severity level Operator COMIUM : Showing severity level results from April to December

28 Results Overview Number of cells identified Operator COMIUM : Showing recurrent faulty cells from April to December 2009

29 PLANET NETWORK INTERNATIONAL Questions ?

30 PLANET NETWORK INTERNATIONAL For more information visit: Or dial #: 1800 RPM PNI