High Probability Latency Quickest Change Detection over a Finite Horizon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. A finite horizon variant of the quickest change detection problem is studied, in which the goal is to minimize a delay threshold (latency), under constraints on the probability of false alarm and the probability that the latency is exceeded. In addition, the horizon is not known to the change detector. A variant of the cumulative sum (CuSum) test with a threshold that increasing logarithmically with time is proposed as a candidate solution to the problem. An information-theoretic lower bound on the minimum value of the latency under the constraints is then developed. This lower bound is used to establish certain asymptotic optimality properties of the proposed test in terms of the horizon and the false alarm probability. Some experimental results are given to illustrate the performance of the test.

Original languageEnglish (US)
Title of host publication2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1047-1052
Number of pages6
ISBN (Electronic)9798350382846
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 IEEE International Symposium on Information Theory, ISIT 2024 - Athens, Greece
Duration: Jul 7 2024Jul 12 2024

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference2024 IEEE International Symposium on Information Theory, ISIT 2024
Country/TerritoryGreece
CityAthens
Period7/7/247/12/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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