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引用次数: 0
摘要
分子通讯(MC)是通讯工程学中的一个概念,即利用扩散分子在纳米或微米尺度的化学反应系统之间传递信息。利用 MC 工程来控制细胞中的反应系统,有望在靶向给药和生物计算等许多应用中实现。要想通过 MC 控制反应系统,就必须在传输信号时避免 MC 失真,因为反应系统的触发通常取决于到达细胞的信号分子的浓度。在本文中,我们提出了一种方法,利用信道的频率响应来分析基于扩散的 MC 信道造成的信号失真。该方法提供了定量评估失真的指数,并显示了抑制信号失真的 MC 信道参数条件。利用所提出的方法,我们展示了满足给定规格的特定 MC 信道的设计过程。最后,从信号失真的角度讨论了 MC 信道在自然界中的作用。
Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response
Molecular communication (MC) is a concept in communication engineering, where diffusive molecules are used to transmit information between nano or micro-scale chemical reaction systems. Engineering MC to control the reaction systems in cells is expected for many applications such as targeted drug delivery and biocomputing. Toward control of the reaction systems as desired via MC, it is important to transmit signals without distortion by MC since the reaction systems are often triggered depending on the concentration of signaling molecules arriving at the cells. In this paper, we propose a method to analyze signal distortion caused by diffusion-based MC channels using frequency response of channels. The proposed method provides indices that quantitatively evaluate the magnitude of distortion and shows parameter conditions of MC channels that suppress signal distortion. Using the proposed method, we demonstrate the design procedure of specific MC channels that satisfy given specifications. Finally, the roles of MC channels in nature are discussed from the perspective of signal distortion.
期刊介绍:
The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.