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Benefits of Rate-Sharing for Distributed Hypothesis Testing

Information Theory 2022-02-07 v1 math.IT

Abstract

We study distributed binary hypothesis testing with a single sensor and two remote decision centers that are also equipped with local sensors. The communication between the sensor and the two decision centers takes place over three links: a shared link to both centers and an individual link to each of the two centers. All communication links are subject to expected rate constraints. This paper characterizes the optimal exponents region of the type-II error for given type-I error thresholds at the two decision centers and further simplifies the expressions in the special case of having only the single shared link. The exponents region illustrates a gain under expected rate constraints compared to equivalent maximum rate constraints. Moreover, it exhibits a tradeoff between the exponents achieved at the two centers.

Keywords

Cite

@article{arxiv.2202.02282,
  title  = {Benefits of Rate-Sharing for Distributed Hypothesis Testing},
  author = {Mustapha Hamad and Mireille Sarkiss and Michèle Wigger},
  journal= {arXiv preprint arXiv:2202.02282},
  year   = {2022}
}

Comments

arXiv admin note: text overlap with arXiv:2106.12299

R2 v1 2026-06-24T09:20:33.639Z