A Statistical–Physical Model of Interference in Diffusion-Based Molecular Nanonetworks
A Statistical–Physical Model of Interference in Diffusion-Based Molecular Nanonetworks
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DOI：
10.1109/tcomm.2014.2314650
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发表时间：
2014-04
影响因子：
8.3
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
分子纳米网络站在纳米技术，生物技术和网络工程的交叉点。分子纳米网络的研究提出了通过分子交换实现纳米机器的互连。在纳米机器之间分子运输的不同解决方案中，最常见的是基于自由扩散。本文的目的是提供一个几何物理模型的干扰时，多个发射纳米机器同时发射分子。这种建模源于在无线电通信的干扰研究中使用的相同假设，即，具有独立且相同分布的发射器的空间泊松分布，而特定分子发射模型与发射器的化学描述一致。由于接收到的分子信号的性质是平稳高斯过程（GP），因此对它的功率谱密度（PSD）进行物理-物理建模，由此可以获得对数特征函数的解析表达式。该表达式导致估计所接收的PSD概率分布，其提供了基于扩散的分子纳米网络中的干扰的完整模型。数值结果的接收PSD的概率分布和干扰的概率方面提出了比较建议的物理模型与仿真的结果。
Molecular nanonetworks stand at the intersection of nanotechnology, biotechnology, and network engineering. The research on molecular nanonetworks proposes the interconnection of nanomachines through molecule exchange. Amongst different solutions for the transport of molecules between nanomachines, the most general is based on free diffusion. The objective of this paper is to provide a statistical-physical modeling of the interference when multiple transmitting nanomachines emit molecules simultaneously. This modeling stems from the same assumptions used in interference study for radio communications, namely, a spatial Poisson distribution of transmitters having independent and identically distributed emissions, while the specific molecule emissions model is in agreement with a chemical description of the transmitters. As a result of the property of the received molecular signal of being a stationary Gaussian Process (GP), the statistical-physical modeling is operated on its Power Spectral Density (PSD), for which it is possible to obtain an analytical expression of the log-characteristic function. This expression leads to the estimation of the received PSD probability distribution, which provides a complete model of the interference in diffusion-based molecular nanonetworks. Numerical results in terms of received PSD probability distribution and probability of interference are presented to compare the proposed statistical-physical model with the outcomes of simulations.