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Conference papers

Two-hop network with multiple decision centers under expected-rate constraints

Abstract : The paper studies distributed binary hypothesis testing over a two-hop relay network where both the relay and the receiver decide on the hypothesis. Both communication links are subject to expected rate constraints, which differs from the classical assumption of maximum rate constraints. We exactly characterize the set of type-II error exponent pairs at the relay and the receiver when both type-I error probabilities are constrained by the same value ϵ>0 . No tradeoff is observed between the two exponents, i.e., one can simultaneously attain maximum type-II error exponents both at the relay and at the receiver. For ϵ1≠ϵ2 , we present an achievable exponents region, which we obtain with a scheme that applies different versions of a basic two-hop scheme that is optimal under maximum rate constraints. We use the basic two-hop scheme with two choices of parameters and rates, depending on the transmitter's observed sequence. For ϵ1=ϵ2 , a single choice is shown to be sufficient. Numerical simulations indicate that extending to three or more parameter choices is never beneficial.
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Conference papers
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Contributor : Mustapha Hamad Connect in order to contact the contributor
Submitted on : Monday, September 20, 2021 - 5:54:24 PM
Last modification on : Thursday, February 17, 2022 - 4:46:42 PM
Long-term archiving on: : Tuesday, December 21, 2021 - 7:26:31 PM


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Mustapha Hamad, Michèle Wigger, Mireille Sarkiss. Two-hop network with multiple decision centers under expected-rate constraints. GLOBECOM 2021: IEEE Global Communications Conference, Dec 2021, Madrid, Spain. pp.1-6, ⟨10.1109/GLOBECOM46510.2021.9685750⟩. ⟨hal-03349810⟩



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