Fundamentals of Diffusion-Based Molecular Communication in Nanonetworks
Fundamentals of Diffusion-Based Molecular Communication in Nanonetworks
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DOI：
10.1561/1300000033
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发表时间：
2014-04
期刊：
影响因子：
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通讯作者：
M. Pierobon;I. Akyildiz
中科院分区：
文献类型：
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作者：
M. Pierobon;I. Akyildiz
分子通信（MC）是一种很有前途的生物启发范例，用于将自主纳米技术支持的设备或纳米机器连接到纳米网络中。MC通过分子的传输、传播和接收实现信息的交换，是纳米网络的一种可行的解决方案。这一想法源于对自然界的观察，在自然界中，细胞成功地采用了MC进行细胞内和细胞间的通信。基于mc的纳米网络有潜力成为广泛应用的使能技术，主要是在生物医学领域，但也在工业和监测领域。本文的重点是最基本的MC类型，即基于扩散的MC，其中携带信息的分子在发射器和接收器之间的传播是通过流体中的自由扩散实现的。本文从通信工程和信息论的角度对MC链路进行分析，为基于MC的纳米网络的建模和设计提供解决方案。首先，实现了一个确定性模型，从增益和延迟方面研究了每个组件以及整个基于扩散的MC链路。其次，识别了影响基于扩散的mc链路的噪声源并进行了统计建模。第三，推导了基于扩散的MC的容量上/下界，以评估基于扩散的MC的信息论性能。第四，分析了纳米网络中多个基于扩散的MC链路产生的干扰。随着新技术和工具的发展，这项研究为未来基于mc的纳米网络的建模、设计和实现奠定了基础。
Molecular communication (MC) is a promising bio-inspired paradigm for the interconnection of autonomous nanotechnology-enabled devices, or nanomachines, into nanonetworks. MC realizes the exchange of information through the transmission, propagation, and reception of molecules, and it is proposed as a feasible solution for nanonetworks. This idea is motivated by the observation of nature, where MC is successfully adopted by cells for intracellular and intercellular communication. MC-based nanonetworks have the potential to be the enabling technology for a wide range of applications, mostly in the biomedical, but also in the industrial and surveillance fields. The focus of this article is on the most fundamental type of MC, i.e., diffusion-based MC, where the propagation of information-bearing molecules between a transmitter and a receiver is realized through free diffusion in a fluid. The objectives of the research presented in this article are to analyze an MC link from the point of view of communication engineering and information theory, and to provide solutions to the modeling and design of MC-based nanonetworks. First, a deterministic model is realized to study each component, as well as the overall diffusion-based- MC link, in terms of gain and delay. Second, the noise sources affecting a diffusion-based-MC link are identified and statistically modeled. Third, upper/lower bounds to the capacity are derived to evaluate the information-theoretic performance of diffusion-based MC. Fourth, an analysis of the interference produced by multiple diffusion-based MC links in a nanonetwork is provided. This research provides fundamental results that establish a basis for the modeling, design, and realization of future MC-based nanonetworks, as novel technologies and tools are being developed.