Opportunity-Adaptive QoS Enhancement in Satellite Constellations: A Case Study

Ann T. Tai, Kam S. Tso, Leon Alkalai, Savio N. Chau, William H. Sanders

Research output: Contribution to conferencePaperpeer-review


Systems that are formed by massively distributed mobile resources, such as satellite constellations, often provide mission-critical functions. However, many existing quality-of-service (QoS) management concepts cannot be applied to those systems in a traditional way, due to the continuously changing readiness-to-serve of their mobile resources. In this paper, we describe a case study that investigates a method called "opportunity-adaptive QoS enhancement (OAQ)." Driven by an application-oriented QoS objective, the method focuses on a solution that permits a structurally degraded constellation to deliver signal-position-determination (geolocation) results with the best possible quality. More specifically, the OAQ algorithm enables iterative geolocation accuracy improvement by letting neighboring satellites coordinate, and by progressively expanding the scale of this coordination in the window of a dynamically determined opportunity. For effectiveness demonstration, we define a QoS measure and solve it analytically. The results show that the OAQ approach significantly enhances a constellation's ability to deliver service with the quality at the high end of a QoS spectrum, even in presence of structural degradation.

Original languageEnglish (US)
Number of pages10
StatePublished - 2003
Event2003 International Conference on Dependable Systems and Networks - San Francisco, CA, United States
Duration: Jun 22 2003Jun 25 2003


Other2003 International Conference on Dependable Systems and Networks
Country/TerritoryUnited States
CitySan Francisco, CA

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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