Qualoo Whitepaper
  • Qualoo Whitepaper: Overview
  • Introduction
    • Internet landscape
      • Trends in telecommunications industry driving need for change
      • Current industry benchmarking is not fit for purpose.
      • Quality of Service (QoS) and Quality of experience (QoE)
      • Current challenges in the telecommunications / internet industry
        • No single ISP possesses enough high-quality data on internet performance
        • Data sharing within the industry is not a common practice
        • ISPs encounter difficulties in accessing and utilizing data within their own organizations
        • End users typically have limited visibility into internet performance
      • What happens when a user browses the internet?
      • What are the key components of internet infrastructure?
      • What does an Internet Service Provider (ISP) network look like?
      • How do ISPs monitor their networks?
  • Qualoo work supporting ASEAN Digital Masterplan
  • Design Principles for Qualoo
  • How Qualoo works
    • Overview
    • Decentralized Physical Test Network
      • Test Nodes
      • Standard testing process
      • Custom testing process
      • Connectivity test types
    • Analytics Platform
  • Product Offering
    • Client Data and Insights Platform (B2B)
    • Node Types
    • Qualoo Consumer Features
    • Clients Segments: Definitions and Use Cases
    • Target State
  • Qualoo Economy
    • Qualoo Economy Design Principles
    • Key economic activities
    • QXT Token Utility
    • Test Rewards Design
    • Token Allocation
    • Token Circulation
  • Blockchain
    • Interactions with Blockchain
    • Rationale for using blockchain
  • Qualoo Foundation
  • Qualoo Green Impact Sustainability & Environment
  • The Future
Powered by GitBook
On this page

Was this helpful?

  1. Introduction
  2. Internet landscape

Quality of Service (QoS) and Quality of experience (QoE)

PreviousCurrent industry benchmarking is not fit for purpose.NextCurrent challenges in the telecommunications / internet industry

Last updated 1 year ago

Was this helpful?

The International Telecommunication Union (ITU) characterizes Quality of Service (QoS) as "the collective attributes of a telecommunication service that influence its capacity to satisfy the user's expressed and implicit needs" (). QoS is primarily assessed through objective metrics such as bandwidth, packet loss ratio, latency, etc. However, QoS measurement may vary depending on the location within the network where it is evaluated.

The ITU defines Quality of Experience (QoE) as "the user's level of satisfaction or frustration with an application or service" (). While QoE is linked to QoS, it also relies on subjective factors like the user's mood, the device used, and time of day. There is an ongoing discussion within the telecommunications industry about the best way to quantify QoE. Several models exist, but the connection between QoE and QoS can be simplified as follows:

QoE=QoS+subjectivefactorsQoE=QoS+subjective factorsQoE=QoS+subjectivefactors

Considering that users prioritize QoE, which influences their decisions to lodge complaints with their service provider or switch providers, it's critical to establish a method for measuring this in a system that monitors internet performance. We propose several principles that must be fulfilled to ensure QoS data measurements align as closely as possible with QoE:

  • Extensive Data Coverage: The user experience should be assessed over a wide geographical area and with enough independent data points to support statistical analysis.

  • Customer-Level Measurement: Testing should occur at network points where the user interacts with the internet, such as the user's home, office, coffee shop, etc.

  • Independent Unbiased Data: Test results should be impartial, and analysis should be conducted independently of industry stakeholders to mitigate conflict of interest concerns.

  • Data Sharing: The collected data should be shared more openly than is currently standard in the industry, to prevent duplicate efforts and establish a single source of truth.

  • Actionable Insights: Data should be analysed to identify major events and ongoing service-impacting issues. The collected data and insights should be available to relevant stakeholders for necessary actions.

source
source