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Communication Dans Un Congrès Année : 2024

Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing

Résumé

This paper investigates practical coding schemes for Distributed Hypothesis Testing (DHT). While the literature has extensively analyzed the information-theoretic performance of DHT and established bounds on Type-II error exponents through quantize and quantize-binning achievability schemes, the practical implementation of DHT coding schemes has not yet been investigated. Therefore, this paper introduces practical implementations of quantizers and quantize-binning schemes for DHT, leveraging short-length binary linear block codes. Furthermore, it provides exact analytical expressions for Type-I and Type-II error probabilities associated with each proposed coding scheme. Numerical results show the accuracy of the proposed analytical error probability expressions, and enable to compare the performance of the proposed schemes.
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Dates et versions

hal-04682212 , version 1 (30-08-2024)

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Elsa Dupraz, Ismaila Salihou Adamou, Reza Asvadi, Tad Matsumoto. Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing. 2024 IEEE International Symposium on Information Theory (ISIT), Jul 2024, Athens, France. pp.2915-2920, ⟨10.1109/ISIT57864.2024.10619545⟩. ⟨hal-04682212⟩
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