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Maximizing QoS for Popular Mobile Services

Learn how to assess and optimize Quality of Service (QoS) for popular mobile services, focusing on user experience. Explore typical measurement procedures, post-processing methods, and network-based QoS measures.

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Maximizing QoS for Popular Mobile Services

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  1. Content and presentation of Recommendation E.MQoS Joachim Pomy, SG 12 Rapporteur Consultant, Opticom GmbH Consultant@joachimpomy.de ITU Workshop on “Benchmarking QoS Evaluation of Multimedia Networks” (Ouagadougou, Burkina Faso, 18 July 2013) Ouagadougou, Burkina Faso, 18 July 2013

  2. Draft New Rec. E.MQoS • E-series: • Overall network operation, telephone service, service operation and human factors • E.800-series: • Quality of telecommunication services: concepts, models, objectives and dependability planning • Title: • QoS Aspects for Popular Services in Mobile Networks

  3. Scope of E.MQoS (1/2) • Assessment of Quality of Service • Summary of basics of QoS, always seen from the user's perspective • Differences to Quality of Experience (QoE) • Guidance to assure QoS assessments conducted in a meaningful way • Definition of Quality of Service parameters and their computation • QoS parameters and their computation for popular services • abstract definition = generic description of parameters • abstract equation • user and technical trigger points • Harmonized definitions are prerequisites for the comparison of QoS measurements and measurement results • Typical procedures for Quality of Service measurement equipment • Measurement procedures needed to perform the measurements of QoS parameters

  4. Scope of E.MQoS (2/2) • Requirements for QoS measurement equipment • Defines minimum requirements of QoS measurement equipment • values and trigger points needed to compute the QoS parameter • allow performing measurements in a reliable and reproducible way • Definition of typical measurement profiles • Specifies typical measurement profiles • required to enable benchmarking of different mobile networks • both within and outside national boundaries. • Post processing and statistical methods • Describes procedures for statistical calculations • for QoS measurement of mobile networks using probing systems. • Network based Quality of Service measurements • E2E QoS measurements inside the network • without direct access to the end point terminal.

  5. Popular Services • Services are not standardized • Focus on popular services • Widely used in the market • Test results are meaningfull to customers • Examples • Web radio • E-mail clients • Web portals

  6. QoS aspects of Mobile

  7. Main structure of E.MQoS • 6 Assessment of Quality of Service • 7Definition of Quality of Service parameters and their computation • 8Typical procedures for Quality of Service measurement equipment • 9Requirements for Quality of Service measurement equipment • 10Definition of typical measurement profiles • 11Post processing and statistical methods • 12Network based Quality of Service measurements • Appendices (informative)

  8. 6 Assessment of Quality of Service • 6.1QoS Background • 6.2QoS Assessment Process • 6.3Basic Settings for QoS Assessments • 6.4Service Independent QoS Criteria • 6.5Service dependent QoS Criteria

  9. 7Definition of Quality of Service parameters and their computation • 7.1QoS Parameter Basics • 7.2Service independent QoS Parameters • 7.3Direct Services QoS Parameters • 7.4Store‑and‑forward (S&F) Services QoS Parameters

  10. 7.2 Service independent QoS Parameters • 7.2.1Radio Network Unavailability [%] • 7.2.2Network Non Accessibility [%] • 7.2.3Attach Failure Ratio [%] • 7.2.4Attach Setup Time [s] • 7.2.5PDP Context Activation Failure Ratio [%] • 7.2.6PDP Context Activation Time [s] • 7.2.7PDP Context Cut‑off Ratio [%] • 7.2.8Data Call Access Failure Ratio [%] • 7.2.9Data Call Access Time [s] • 7.2.10DNS Host Name Resolution Failure Ratio [%] • 7.2.11DNS Host Name Resolution Time [s]

  11. 7.3 Direct Services QoS Parameters • 7.3.1File Transfer (FTP) • 7.3.2Mobile Broadcast • 7.3.3Ping • 7.3.4Push to Talk over Cellular (PoC) • 7.3.5Streaming Video • 7.3.6Telephony • 7.3.7Video Telephony • 7.3.8Web Browsing (HTTP) • 7.3.9Web Radio • 7.3.10WLAN service provisioning with HTTP based authentication • 7.3.11Wireless Application Protocol (WAP) • 7.3.12IMS Multimedia Telephony • 7.3.14Group Call • 7.3.13E-mail

  12. 7.4 Store‑and‑forward (S&F) Services QoS Parameters • 7.4.1Generic Store‑and‑forward Parameters • 7.4.2E‑mail • 7.4.3Multimedia Messaging Service (MMS) • 7.4.4Short Message Service (SMS) Short Data Service (SDS)

  13. 8Typical procedures for Quality of Service measurement equipment • 8.1Aim of measurement • 8.2Classification of services • 8.3General aspects for all types of services • 8.4Telephony measurements • 8.5Store-and-forward services measurement • 8.6Data measurements

  14. 8.4 Telephony measurements • 8.4.1General aspects • 8.4.2Speech telephony • 8.4.4Group Call • 8.4.3Video telephony

  15. 8.5 Store-and-forward services measurement • 8.5.1General aspects • 8.5.2SMS measurements • 8.5.3MMS • 8.5.4E-Mail • 8.5.5SDS

  16. 8.6 Data measurements • 8.6.1Common aspects • 8.6.2FTP • 8.6.3HTTP • 8.6.4E-mail • 8.6.5WAP • 8.6.6Streaming Video • 8.6.7Media Download

  17. 9Requirements for Quality of Service measurement equipment • 9.1Overview • 9.2General requirements • 9.3Fixed QoS Test-equipment (FQT) • 9.5Mobile based measurement equipment • 9.4Mobile QoS Test-equipment (MQT)

  18. 10Definition of typical measurement profiles • 10.1Measurement profiles • 10.1.3Usage Profiles for Data Sessions • 10.1.1Classification of measurement environments • 10.1.2Service profiles

  19. 11Post processing and statistical methods • 11.1Important measurement data types in mobile communications • 11.2Distributions and moments • 11.3Visualization techniques • 11.4Time series modelling • 11.5Data aggregation • 11.6Assessment of performance indices

  20. 12Network based QoS measurements • 12.1Network Measurement Basics • 12.2Measuring QoS Parameters in the Network • 12.3Comparing Network and End- point Test Measurements

  21. Appendices (informative) • I Examples for measuring trigger points • II Streaming explanations • III Push to Talk over Cellular Information • IV QoS parameter export • V Which parameters have an impact on the effect of blocking ? • VI Reference {SMS | SDS} • VII Content integrity checking • VIII Transfer times versus used data rate and content size • IX Examples of statistical calculations • X The concept of QoE reporting • XI Examples of Network Based QoS Measurements • XII 3GPP SA5 "UE Management"

  22. Confidence Intervalls for Different Sample Sizes (1) • The following examples show the effect of different sample sizes in a measurement campaign. It is also based on the Pearson-Clopper formulas for the calculation of confidence intervals. Therefore, the examples are valid in a generic way and even for small sample sizes. For higher sample numbers, the calculation of confidence intervals based on the approximation of a normal distribution can be applied. • Three different graphs are depicted: Sample sizes in the range: • between 100 and 1 100 samples; • between 1 100 and 2 100 samples; and • between 1 000 and 11 000 samples.

  23. Confidence Intervalls for Different Sample Sizes (2)

  24. Confidence Intervalls for Different Sample Sizes (3)

  25. Confidence Intervalls for Different Sample Sizes (4)

  26. Schedule for draft new Rec. E.MQoS • 31 August 2013 • Final timeline for submitting comments directly to the editors • 7 November 2013 • Submission as Contribution to SG 12 • 20 November 2013 • Deadline for Contributions submitted to TSB • 12 December 2013 • Planned Consent of SG12 Plenary • January 2014 • Start of Alternate Approval Procedure (AAP) • March 2014 • Pre-Publication • ??? 2014 • Publication

  27. Any questions ? Joachim Pomy Telecommunications & Int'l Standards Germany Tel.: +49 177 78 71958 Email: consultant@joachimpomy.de

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