Inter-Symbol Interference (ISI) is one of the challenges of bio-inspired diffusion-based molecular communication. The degradation of the remaining molecules from a previous transmission is the solution that biological systems use to mitigate this ISI. While most prior work has proposed the use of enzymes to catalyze the molecules degradation, enzymes also degrade the molecules carrying the information, which drastically decreases the signal strength. In this paper, we propose the use of photolysis reactions, which use the light to instantly transform the emitted molecules so they no longer be recognized after their detection. The light will be emitted in an optimal time, allowing the receiver to detect as many molecules as possible, which increases both the signal strength and ISI mitigation. A lower bound expression on the expectation of the observed molecules number at the receiver is derived. Bit error probability expression is also formulated, and both expressions are validated with simulation results, which show a visible enhancement when using photolysis reactions. The performance of the proposed method is evaluated using Interference-to-Total-Received molecules metric (ITR) and the derived bit error probability.

中文翻译：

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基于扩散的分子通讯的性能增强。

符号间干扰（ISI）是受生物启发的基于扩散的分子通讯的挑战之一。先前传输过程中剩余分子的降解是生物系统用来缓解此ISI的解决方案。尽管大多数先前的工作已经提出使用酶来催化分子降解，但是酶也会降解携带信息的分子，这会大大降低信号强度。在本文中，我们建议使用光解反应，该反应使用光来立即转换发射的分子，因此在检测到分子后不再对其进行识别。该光将在最佳时间内发出，从而使接收器能够检测到尽可能多的分子，从而增加了信号强度和ISI缓解能力。得出了预期在受体上观察到的分子数的下限表达。还制定了误码概率表达式，并用仿真结果验证了这两个表达式，这些结果在使用光解反应时显示出明显的增强。使用总接收分子干扰度量（ITR）和派生的误码率来评估所提出方法的性能。