Network use metrics: Good versus easy and why it matters

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Network use metrics: Good versus easy and why it matters quantity

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Description

Format: PDF file
Pages: 81 pages
Author: Dean Bubley
Publication Date: August 2023

Table of Contents

• Executive Summary
  • Key recommendations
  • Next steps
• Introduction
  • Key metrics overview
  • KPIs vs. metrics: What’s in a name?
  • Who uses telco metrics and why?
  • Data used in policy-making and regulation
  • Metrics and KPIs enshrined in standards
  • Why some stakeholders love “old” metrics
  • Granularity
• Coverage, deployment and adoption
  • Mobile network coverage
  • Fixed network deployment/coverage
• Usage, speed and traffic metrics
  • Voice minutes and messages
  • Data traffic volumes
  • Network latency
• Financial metrics
  • Revenue and ARPU
  • Capex
• Future trends and innovation in metrics
  • The impact of changing telecom industry structure
  • Why applications matter: FWA, AR/VR, P5G, V2X, etc
  • New sources of data and measurements
• Conclusion and recommendations
  • Recommendations for regulators and policymakers
  • Recommendations for fixed and cable operators
  • Recommendations for mobile operators
  • Recommendations for telecoms vendors
  • Recommendations for content, cloud and application providers
  • Recommendations for investors and consultants
• Appendix
  • Key historical metrics: Overview
  • How telecoms data is generated
• Index

Table of Figures

• Figure 1: Policymakers and regulators are exploiting more sources of data and analytical methods for granular and focused metrics
• Figure 2: Easy vs. good metrics , aligning to policy goals
• Figure 3: Impact of new sources of input and analysis on metric quality and detail
• Figure 4: Types of internal KPIs found in major telcos
• Figure 5: On-device data crowd sourcing methodology
• Figure 6: Crowd-sourced data pros and cons
• Figure 7: Cloud sourcing of metrics data from major technology companies
• Figure 8: ITU usage scenarios and goals/metrics for IMT-2030 (6G mobile)
• Figure 9: ARCEP published 5G sites per MNO and frequency ranges
• Figure 10: 5G coverage is sometimes being reported by frequency band
• Figure 11: Fixed-line connections with phone service, worldwide, 1960-2021
• Figure 12: Broadband fixed subscribers, worldwide, 2021-2023
• Figure 13: The US is enhancing its broadband map and underlying database
• Figure 14: FTTH/B homes passed vs. subscribers, 2012-2022
• Figure 15: Ericsson provides good detail on traffic by device type and FWA
• Figure 16: Australian broadband data traffic by network type
• Figure 17: Internet traffic split by interconnection partner, France, 2022
• Figure 18: Segmentation of mobile data traffic in Europe by context
• Figure 19: Crowd-sourced data for network latency metrics, UK
• Figure 20: Different metrics for “idle” latency vs. network under load
• Figure 21: ARPU will need redefining as user becomes distinct from subscriber
• Figure 22: The quasi-mythical “scissor effect”
• Figure 23: Towards experiential metrics for mobile applications
• Figure 24: Some metrics need to evolve to an end-to-end view
• Figure 25: Future regulatory metrics and analyses will exploit more sources and AI
• Figure 26: New sources of input and analysis – potential impact on metric quality and detail
• Figure 27: ITU world telecom indicators, 2023
• Figure 28: Vendor publications on industry key metrics

 

Technologies and industry terms referenced include: A3, Amazon, APIs, AR and VR, ARPU, capex, ChatGPT, cisco, Ericsson, EU, fixed networks, FTTP, fttx, FWA, IoT, M&A, Meta, mobile networks, mobile traffic, MVNO, Netflix, ofcom, P5G, QOS, regulator, telco KPI, V2X