Hypothesis testing over cascade channels

Sadaf Salehkalaibar; Michele Wigger; Ligong Wang

doi:10.1109/ITW.2017.8277994

Hypothesis testing over cascade channels

Sadaf Salehkalaibar
, Michele Wigger
, Ligong Wang

Université Paris-Saclay
University of Tehran

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final receiver. All relays as well as the final receiver decide on the binary hypothesis governing the joint probability distribution of the observations at the sensors, relays, and final receiver. The quantity of interest is the set of feasible type-II error exponents that allow for the type-I error probabilities to vanish asymptotically as the observation length increases. A coding scheme is proposed and the corresponding set of feasible type-II error exponents is analyzed by means of a modified Han-type analysis that can account for distributed decisions based on different codebooks and for nodes forwarding their decisions to other nodes. The obtained exponent region is optimal in some special cases.

langue originale	Anglais
titre	2017 IEEE Information Theory Workshop, ITW 2017
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	369-373
Nombre de pages	5
ISBN (Electronique)	9781509030972
Les DOIs	https://doi.org/10.1109/ITW.2017.8277994
état	Publié - 2 juil. 2017
Modification externe	Oui
Evénement	2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan Durée: 6 nov. 2017 → 10 nov. 2017

Série de publications

Nom	IEEE International Symposium on Information Theory - Proceedings
Volume	2018-January
ISSN (imprimé)	2157-8095

Une conférence

Une conférence	2017 IEEE Information Theory Workshop, ITW 2017
Pays/Territoire	Taiwan
La ville	Kaohsiung
période	6/11/17 → 10/11/17

Accès au document

10.1109/ITW.2017.8277994

Contient cette citation

@inproceedings{0122e0e493974ef1bf27ae007b8fbf75,

title = "Hypothesis testing over cascade channels",

abstract = "Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final receiver. All relays as well as the final receiver decide on the binary hypothesis governing the joint probability distribution of the observations at the sensors, relays, and final receiver. The quantity of interest is the set of feasible type-II error exponents that allow for the type-I error probabilities to vanish asymptotically as the observation length increases. A coding scheme is proposed and the corresponding set of feasible type-II error exponents is analyzed by means of a modified Han-type analysis that can account for distributed decisions based on different codebooks and for nodes forwarding their decisions to other nodes. The obtained exponent region is optimal in some special cases.",

author = "Sadaf Salehkalaibar and Michele Wigger and Ligong Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Information Theory Workshop, ITW 2017 ; Conference date: 06-11-2017 Through 10-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/ITW.2017.8277994",

language = "English",

series = "IEEE International Symposium on Information Theory - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "369--373",

booktitle = "2017 IEEE Information Theory Workshop, ITW 2017",

}

Salehkalaibar, S, Wigger, M & Wang, L 2017, Hypothesis testing over cascade channels. Dans 2017 IEEE Information Theory Workshop, ITW 2017. IEEE International Symposium on Information Theory - Proceedings, VOL. 2018-January, Institute of Electrical and Electronics Engineers Inc., p. 369-373, 2017 IEEE Information Theory Workshop, ITW 2017, Kaohsiung, Taiwan, 6/11/17. https://doi.org/10.1109/ITW.2017.8277994

Hypothesis testing over cascade channels. / Salehkalaibar, Sadaf; Wigger, Michele; Wang, Ligong.
2017 IEEE Information Theory Workshop, ITW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 369-373 (IEEE International Symposium on Information Theory - Proceedings; Vol 2018-January).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Hypothesis testing over cascade channels

AU - Salehkalaibar, Sadaf

AU - Wigger, Michele

AU - Wang, Ligong

PY - 2017/7/2

Y1 - 2017/7/2

N2 - Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final receiver. All relays as well as the final receiver decide on the binary hypothesis governing the joint probability distribution of the observations at the sensors, relays, and final receiver. The quantity of interest is the set of feasible type-II error exponents that allow for the type-I error probabilities to vanish asymptotically as the observation length increases. A coding scheme is proposed and the corresponding set of feasible type-II error exponents is analyzed by means of a modified Han-type analysis that can account for distributed decisions based on different codebooks and for nodes forwarding their decisions to other nodes. The obtained exponent region is optimal in some special cases.

AB - Binary hypothesis testing over single and parallel cascade channels is considered where sensors communicate with dedicated relays, and these relays with a single final receiver. All relays as well as the final receiver decide on the binary hypothesis governing the joint probability distribution of the observations at the sensors, relays, and final receiver. The quantity of interest is the set of feasible type-II error exponents that allow for the type-I error probabilities to vanish asymptotically as the observation length increases. A coding scheme is proposed and the corresponding set of feasible type-II error exponents is analyzed by means of a modified Han-type analysis that can account for distributed decisions based on different codebooks and for nodes forwarding their decisions to other nodes. The obtained exponent region is optimal in some special cases.

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DO - 10.1109/ITW.2017.8277994

M3 - Conference contribution

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T3 - IEEE International Symposium on Information Theory - Proceedings

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BT - 2017 IEEE Information Theory Workshop, ITW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Information Theory Workshop, ITW 2017

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Hypothesis testing over cascade channels

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Série de publications

Une conférence

Accès au document

Empreinte digitale

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