The concept of semantic communication provides a novel approach for applications in scenarios with limited communication resources. In this paper, we propose an end-to-end (E2E) semantic molecular communication system, aiming to enhance the efficiency of molecular communication systems by reducing the transmitted information. Specifically, following the joint source channel coding paradigm, the network is designed to encode the task-relevant information into the concentration of the information molecules, which is robust to the degradation of the molecular communication channel. Furthermore, we propose a channel network to enable the E2E learning over the non-differentiable molecular channel. Experimental results demonstrate the superior performance of the semantic molecular communication system over the conventional methods in classification tasks.

翻译：语义通信的概念为通信资源受限场景下的应用提供了一种新思路。本文提出了一种端到端（E2E）语义分子通信系统，旨在通过减少传输信息来提升分子通信系统的效率。具体而言，遵循联合源信道编码范式，该网络被设计为将任务相关信息编码到信息分子的浓度中，从而对分子信道的退化具有鲁棒性。此外，我们提出了一种信道网络，以实现在不可微分子信道上的端到端学习。实验结果表明，在分类任务中，所提出的语义分子通信系统相比传统方法具有更优越的性能。