Robust Image Transmission Over Time-varying Channels using Hierarchical Joint Source Channel Coding

In this paper, a joint source-channel coding (JSCC) scheme for time-varying channels is presented. The proposed scheme uses hierarchical framework for both source encoder and transmission via QAM modulation. Hierarchical joint source channel codes with hierarchical QAM constellations are designed to track the channel variations which yields to a higher throughput by adapting certain parameters of the receiver to the channel variation. We consider the problem of still image transmission over time-varying channels with channel state information (CSI) available at 1) receiver only and 2) both transmitter and receiver being informed about the state of the channel. We describe an algorithm that optimizes hierarchical source codebooks by minimizing the distortion due to source quantizer and channel impairments. Simulation results, based on image representation, show that, the proposed hierarchical system outperforms the conventional schemes based on a single-modulator and channel optimized source coding.

Authors:

• Hatem. Elmeddeb
• Noureddine
• Hamdi
• Ammar. Bouallègue

Keywords:

• Channel-optimized VQ (COVQ)
• joint optimization
• QAM
• hierarchical systems.

References:

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