用于分子通信的扩散-神经元混合系统
A Diffusion-Neuron Hybrid System for Molecular Communication
摘要：
基于扩散的通讯和神经通讯是分子通讯中两个有趣的领域。这两种方法各有其独特的优点，在许多工作中被单独开发。然而，在某些情况下，神经和基于扩散的方式必须一起工作以进行通信。因此，在本文中，我们提出了一种混合通信系统，其中包含基于扩散和神经通信信道。多个连接纳米器件（CND）用于连接两个通道。我们定义了CND的实践功能，并根据两个通道的生物学特性，发展了从扩散通道到神经通道的信息交换机制。此外，我们还建立了一个简单的数学模型来描述混合系统的完整通信过程。仿真结果显示了CND的信息交换过程。比特出错率（BER）指标用于验证通信的可靠性。研究结果表明，基于生物通道，优化纳米器件的一些参数可以提高器件的可靠性。
英文摘要：
Diffusion-based and neural communication are two interesting domains in molecular communication. Both of them have distinct advantages and are exploited separately in many works. However, in some cases, neural and diffusion-based ways have to work together for a communication. Therefore, in this paper, we propose a hybrid communication system, in which the diffusion-based and neural communication channels are contained. Multiple connection nano-devices (CND) are used to connect the two channels. We define the practice function of the CNDs and develop the mechanism of exchanging information from diffusion-based to neural channel, based on the biological characteristics of the both channels. In addition, we establish a brief mathematical model to present the complete communication process of the hybrid system. The information exchange process at the CNDs is shown in the simulation. The bit error rate (BER) indicator is used to verify the reliability of communication. The result reveals that based on the biological channels, optimizing some parameters of nano-devices could improve the reliability performance.
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