Rec. ITU-T E.812 Amendment 1 (09/2020) Crowdsourcing approach for the assessment of end-to-end quality of service in fixed and mobile broadband networks
Summary
History
FOREWORD
Table of Contents
Introduction
1 Scope
2 References
3 Definitions
     3.1 Terms defined elsewhere
     3.2 Terms defined in this Recommendation
4 Abbreviations and acronyms
5 Conventions
6 Overview
7 Types of crowdsourced data collection, technical characteristics and requirements
     7.1 Types of crowdsourced data collection
          7.1.1 Active measurements
          7.1.2 Passive measurements
     7.2 Methods to initiate crowdsourced data collection
          7.2.1 End-user initiated measurements
          7.2.2 Automated measurements
     7.3 Crowdsourced data collection requirements
          7.3.1 Sampling and scheduling
          7.3.2 Data processing
               7.3.2.1 Filtering
                    7.3.2.1.1 Filtering anomalous testing behaviour
               7.3.2.2 Categorization
               7.3.2.3 Aggregation
8 Set-up scenarios
     8.1 Data collection device
     8.2 Test server allocation
9 Additional guidelines for regulators
Appendix I  Numerical example of the stratification sampling approach  for the mobile service
Appendix II  Use cases for the crowdsourcing approach
     II.1 Examples of possible use cases
          II.1.1 Mobile network coverage
          II.1.2 Performance monitoring and benchmarking
          II.1.3 Complaints verification
          II.1.4 Checking commitment to license
          II.1.5 Network planning
          II.1.6 Network optimization
     II.2 Examples of QoS indicators and calculation for crowdsourced solutions
     II.3 Examples of data filtering process rules
Appendix III  Practical approaches to fixed broadband crowdsourcing
     III.1 Standards for data collection from CPE
     III.2 Providing end-user measurement tools
     III.3 Mass scale deployment of proprietary hardware probes to end users
Bibliography