A Primer on the Statistical Relation Between Wireless Ultra-Reliability and Location Estimation

Tobias Kallehauge, Pablo Ramirez Espinosa, Kimmo Kansanen, Henk Wymeersch, Petar Popovski

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Location information is often used as a proxy to infer the performance of a wireless communication link. Using a very simple model, this letter unveils a basic statistical relation between the location estimation uncertainty and wireless link reliability. First, a Cramér-Rao bound for the localization error is derived. Then, wireless link reliability is characterized by how likely the outage probability is to be above a target threshold. We show that the reliability is sensitive to location errors, especially when the channel statistics are also sensitive to the location. Finally, we highlight the difficulty of choosing a rate that meets target reliability while accounting for the location uncertainty.
Original languageEnglish
JournalI E E E Wireless Communications Letters
Volume11
Issue number8
Pages (from-to)1600-1604
Number of pages5
ISSN2162-2337
DOIs
Publication statusPublished - 1 Aug 2022

Keywords

  • Reliability
  • Location awareness
  • Wireless Communication
  • Uncertainty
  • Delays
  • Wireless Sensor Network
  • Channel Estimation
  • Cramer-Rao bounds
  • Statistical learning
  • Quality of service
  • Ultra reliable low latency communication
  • Throughput

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