Shayan Hassanpour

Learning to Compress Over Arbitrary Channels: Information Bottleneck-Based Distributed Joint Source-Channel Coding via Deep MARL

In this article, we introduce a Reinforcement Learning (RL)–driven framework for Information Bottleneck (IB)–based distributed Joint Source–Channel Coding (JSCC) that operates reliably when the forward channels are unknown, non-differentiable, stochastic, or entirely black-box. Current state-of-the-art deep variational...