Molecular communication (MC) can play an indispensable role in nanonetworking and internet of bio-nano things based applications. In most MC receivers, the detection of data symbols requires the optimal threshold, which depends on the accurate diffusion channel impulse response (DCIR), and statistics of noise and interference (SNI). In order to estimate these parameters, a training phase must be carried out. Further, DCIR and SNI can change due to diffusion, drift, temperature and interference variation in the MC system, which results in complex training or sub-optimal MC performance. In this paper, we propose a coded modulation scheme (CMS) for MC, which does not require threshold estimation at the receiver. Hence, the proposed CMS is completely free from any training, and also independent of noise and interferences variation in MC systems. The proposed CMS has optimal system performance with negligible system complexity as verified through the numerical results. Further, the impact of various parameters such as diffusion coefficient, transmission distance, symbol duration, etc. are also examined for CMS.

中文翻译：

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纳米通信系统中符号的无阈值检测。

分子通信（MC）在基于生物纳米事物的应用的纳米网络和互联网中可以发挥不可或缺的作用。在大多数MC接收机中，数据符号的检测需要最佳阈值，该阈值取决于准确的扩散信道脉冲响应（DCIR）以及噪声和干扰的统计数据（SNI）。为了估计这些参数，必须执行训练阶段。此外，DCIR和SNI可能会由于MC系统中的扩散，漂移，温度和干扰变化而发生变化，这会导致复杂的训练或次优的MC性能。在本文中，我们提出了一种针对MC的编码调制方案（CMS），该方案不需要在接收器处进行阈值估计。因此，提出的CMS完全不受任何培训，并且不受MC系统中的噪声和干扰变化的影响。通过数值结果验证，所提出的CMS具有最佳的系统性能，且系统复杂度可忽略不计。此外，还针对CMS检查了诸如扩散系数，传输距离，符号持续时间等各种参数的影响。