Multi-Hop Network With Multiple Decision Centers Under Expected-Rate Constraints

We consider a multi-hop distributed hypothesis testing problem with multiple decision centers (DCs) for testing against independence and where the observations obey some Markov chain. For this system, we characterize the fundamental type-II error exponents region, i.e., the type-II error exponents t...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 69; H. 7; S. 4255 - 4283
Hauptverfasser:	Hamad, Mustapha, Wigger, Michele, Sarkiss, Mireille
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Asymptotic methods Computer Science distributed hypothesis testing Encoding error exponents Error probability expected-rate constraints Exponents Hypothesis testing Markov chains Markov processes Multi-hop Multiplexing Permissible error Spread spectrum communication Symbols Testing variable-length coding Expected-rate constraints Multi-hop Variable-length coding Distributed hypothesis testing Error exponents
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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