Molecular communication is a bio-inspired communication paradigm where molecules are used as the information carrier. This paper considers a molecular communication network where the transmitter uses concentration modulated signals for communication. Our focus is to design receivers that can demodulate these signals. We want the receivers to use enzymatic cycles as their building blocks and can work approximately as a maximum a posteriori (MAP) demodulator. No receivers with all these features exist in the current molecular communication literature. We consider enzymatic cycles because they are a very common class of chemical reactions that are found in living cells. In addition, a MAP receiver has good statistical performance. In this paper, we study the operating regime of an enzymatic cycle and how the parameters of the enzymatic cycles can be chosen so that the receiver can approximately implement a MAP demodulator. We use simulation to study the performance of this receiver. We show that we can reduce the bit-error ratio of the demodulator if the enzymatic cycle operates in specific parameter regimes.

翻译：分子通信是一种受生物启发的通信范式，其中分子被用作信息载体。本文研究一种分子通信网络，其中发射器使用浓度调制信号进行通信。我们的重点是设计能够解调这些信号的接收器。我们希望接收器以酶循环作为基本构建模块，并能近似实现最大后验概率（MAP）解调器的功能。当前分子通信文献中尚不存在同时具备所有这些特征的接收器。我们选择酶循环是因为它们是活细胞中非常常见的一类化学反应。此外，最大后验概率接收器具有良好的统计性能。本文研究了酶循环的工作机制，以及如何选择酶循环的参数使接收器能够近似实现最大后验概率解调器。我们通过仿真研究了该接收器的性能，结果表明当酶循环在特定参数范围内运行时，可以降低解调器的误码率。