In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmitter leverages an encoder network that maps the user symbol to a molecule mixture. The mixtures then propagate through the channel to the receiver, which samples the channel using a non-linear, cross-reactive sensor array. A decoder network then estimates the symbol transmitted by each user based on the sensor observations. The proposed scheme achieves, for a given signal-to-noise ratio, lower symbol error rates than a baseline scheme from the literature in a single-user setting with full channel state information. We additionally demonstrate that the proposed AE-based scheme allows reliable communication when the channel is unknown or changing. Finally, we show that for multiple access the system can account for different user priorities. In summary, the proposed AE-based scheme enables end-to-end system optimization in complex scenarios unsuitable for analytical treatment and thereby brings molecular communication systems closer to real-world deployment.

翻译：本文提出一种基于自编码器（AE）的方案，用于多用户分子混合物通信系统的端到端优化。在该方案中，每个发射器利用编码网络将用户符号映射为分子混合物。混合物随后通过信道传播至接收器，接收器采用非线性交叉反应传感器阵列对信道进行采样。解码网络根据传感器观测值估计每个用户发送的符号。实验表明，在给定信噪比下，该方案在具备完整信道状态信息的单用户场景中实现了低于文献基准方案的符号错误率。我们进一步证明，当信道未知或动态变化时，所提出的基于自编码器的方案仍可实现可靠通信。最后，我们展示了该系统在多址接入场景中能够适应不同用户优先级。综上，本文提出的基于自编码器的方案能够在不适于分析处理的复杂场景中实现端到端系统优化，从而推动分子通信系统向实际部署迈进一步。