Quality of experience (QoE) and quality of service (QoS) in UAV systems

Asif Ali Laghari, Asiya Khan, Hui He, Vania V. Estrela, Navid Razmjooy, Jude Hemanth, Hermes J. Loschi

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

11 Citations (Scopus)


This chapter studies both the quality of service (QoS) and quality of experience (QoE) of unmanned aerial vehicle cyber-physical systems (UAV-CPSs). These parameters help to gather data about the connectivity options in networks containing flying nodes (FNs), ground stations (GSs) and other associated devices. They also support to solve complications related to the number of choices of subnetworks complicates designs, capacity, spectrum efficiency, network coverage and reliability among other issues from a flying ad hoc network (FANET) especially when there is streaming. QoS and QoE permit the discovery of the best conceivable network configurations, and costs for user applications autonomously. Existing lines of attack are listed by function. Restrictions and strong points are emphasised to arrange for initial investigations as well as further studies in this area. If the UAV-CPS network has low QoS, then real-time data will not be accurate and subject to data losses causing inaccuracies. Information loss or delay (due to packet loss, rearrangement and delay) may lessen the satisfaction level of the UAV-CPS user (operator). Network QoS degradation affects the real-time video monitoring and must always be taken into account with on-board needs. This effect leads to data loss and image quality reduction, thus decreasing the QoE.

Original languageEnglish
Title of host publicationImaging and Sensing for Unmanned Aircraft Systems
Subtitle of host publicationDeployment and Applications
PublisherInstitution of Engineering and Technology
Number of pages31
ISBN (Electronic)9781785616440
Publication statusPublished - 1 Jan 2020
Externally publishedYes


  • Aircraft communication
  • Autonomous aerial vehicles
  • Computer communications
  • Computer network reliability
  • Connectivity options
  • Cyber-physical systems
  • Data loss
  • Flying ad hoc network
  • Flying nodes
  • Ground stations
  • Image quality reduction
  • Information loss
  • Mobile ad hoc networks
  • Mobile radio systems
  • Multimedia communications
  • Network configurations
  • Network coverage
  • Network performance
  • Network QoS degradation
  • Packet loss
  • QoE
  • Quality of experience
  • Quality of service
  • Real-time data
  • Real-time systems
  • Real-time video monitoring
  • Reliability
  • Spectrum efficiency
  • Subnetworks
  • UAV systems
  • UAV-CPS network
  • UAV-CPS user
  • Unmanned aerial vehicle cyber-physical systems
  • Video streaming


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