Semantic communications (SemCom) introduce a new paradigm for efficient data transmission using artificial intelligence algorithms. The D2-JSCC framework optimizes source and channel codings jointly, outperforming classic deep JSCC schemes.
The content discusses the challenges faced by existing SemCom techniques and introduces the concept of D2-JSCC to address these issues. By combining digital source and channel coding, the framework aims to reduce communication overhead while improving efficiency. The proposed algorithm involves two steps: model selection and retraining to optimize the system's performance. Through simulations and experiments, the D2-JSCC framework is shown to outperform traditional methods, offering a promising solution for future communication systems.
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by Jianhao Huan... at arxiv.org 03-13-2024
https://arxiv.org/pdf/2403.07338.pdfDeeper Inquiries