On Sub-optimality of Random Binning for Distributed Hypothesis Testing
Shun Watanabe · 2022 IEEE International Symposium on Information Theory (ISIT) · 2022
We investigate the quantize and binning scheme, known as the Shimokawa-Han-Amari (SHA) scheme, for the distributed hypothesis testing. We develop tools to evaluate the critical rate attainable by the SHA scheme. For a product of binary symmetric double sources, we present a sequential scheme that improves upon the SHA scheme.