Molecular communication (MC), which transmits information through molecules, has emerged as a promising technique to enable communication links between nanomachines. To establish information transmission using molecules, synthetic biology through genetic circuits techniques can be utilized to construct biological components. Recent efforts on genetic circuits have produced many exciting MC systems and generated substantial insights. With basic gene regulatory modules and motifs, researchers are now constructing artificial networks with novel functions that will serve as building blocks in the MC system. In this paper, we investigate the design of genetic circuits to implement the convolutional codec in a diffusion-based MC channel with the concentration shift keying (CSK) transmission scheme. At the receiver, a majority-logic decoder is applied to decode the received symbols. These functions are completely realized in the field of biochemistry through the activation and inhibition of genes and biochemical reactions, rather than through classical electrical circuits. Biochemical simulations are used to verify the feasibility of the system and analyze the impairments caused by diffusion noise and chemical reaction noise of genetic circuits.

中文翻译：

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由遗传电路实现的用于分子通信的卷积编解码器


通过分子传输信息的分子通信（MC）已成为一种有前途的技术，可以实现纳米机器之间的通信链接。为了使用分子建立信息传输，可以利用通过遗传电路技术的合成生物学来构建生物成分。最近在遗传电路方面的努力已经产生了许多令人兴奋的 MC 系统并产生了重要的见解。借助基本的基因调控模块和基序，研究人员现在正在构建具有新功能的人工网络，这些网络将作为 MC 系统的构建模块。在本文中，我们研究了遗传电路的设计，以通过集中移位键控（CSK）传输方案在基于扩散的 MC 通道中实现卷积编解码器。在接收器处，应用多数逻辑解码器来解码接收到的符号。这些功能在生物化学领域完全是通过基因的激活和抑制以及生化反应来实现的，而不是通过经典的电路。通过生化模拟验证系统的可行性，并分析遗传电路的扩散噪声和化学反应噪声造成的损伤。