Rateless Stochastic Coding for Delay-Constrained Semantic Communication

TL;DR

This paper introduces a rateless stochastic coding scheme for semantic communication that balances reliability and effectiveness by optimizing perceptual and pixel-level reconstruction, enabling adaptable transmission over uncertain channels.

Contribution

It proposes a novel rateless stochastic coding scheme with a generative decoder and dithered quantization, incorporating semantic-level objectives for improved perceptual communication.

Findings

Achieves variable transmission rates with a good trade-off between distortion and perception.

Outperforms traditional methods in maintaining perceptual quality over uncertain channels.

Demonstrates flexibility and robustness in semantic communication scenarios.

Abstract

We consider the problem of joint source-channel coding for semantic communication from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. In particular, we propose a more general communication objective that minimizes the perceptual distance by incorporating a semantic-level reconstruction objective in addition to the conventional pixel-level reconstruction objective. Based on the proposed objective, we then propose a novel JSCC coding scheme called rateless stochastic coding (RSC) by introducing a generative decoder and dithered quantization. The coding scheme enables reconstruction based on both distortion and perception metrics through rateless transmission. Extensive experiments demonstrate that the proposed RSC can achieve variable rates of transmission maintaining an excellent trade-off between distortion and perception.