Efficient Deep Joint Source-Channel Coding for Wireless Image Transmission using Visual State Space Model with Channel Adaptation

MambaJSCC, a novel lightweight and efficient deep joint source-channel coding (JSCC) scheme, utilizes a visual state space model with channel adaptation (VSSM-CA) to effectively encode and decode images over wireless channels, outperforming existing JSCC approaches while significantly reducing computational complexity and model size.