Lightweight and Efficient Deep Joint Source-Channel Coding with Generalized State Space Model and Endogenous Channel Adaptation

MambaJSCC, a novel deep joint source-channel coding architecture, achieves state-of-the-art performance with significantly reduced computational and parameter overhead compared to existing methods by utilizing a generalized state space model and an endogenous channel adaptation technique.