Distributed Hypothesis Testing over Noisy Broadcast Channels

This paper studies binary hypothesis testing with a single sensor that communicates two decision centers over memoryless broadcast channel. The main focus lies on the tradeoff between type-II error exponents achievable at centers. In our proposed scheme, we can partially mitigate this when transmitter has probability larger than 1/2 to distinguish alternate hypotheses centers, i.e., under which wish maximize their exponents. cases where these cannot be distinguished (because both have same alternative or because transmitter’s observations marginal distribution hypotheses), scheme shows an important results in thus reinforce previous conclusions drawn for setup communication is common noiseless link. Compared such scenario, here, however, observe even hypotheses, small exponent persist, simply noise channel prevents perfectly describe its guess of