IEEE Trans Nanobioscience. 2018 Mar;17(1):88-94. doi: 10.1109/TNB.2018.2805766.
Molecular communication (MC) over a microfluidic channel with flow is investigated based on Shannon's channel capacity theorem and Fick's laws of diffusion. Specifically, the sum capacity for MC between a single transmitter and multiple receivers (broadcast MC) is studied. The transmitter communicates by using different types of signaling molecules with each receiver over the microfluidic channel. The transmitted molecules propagate through microfluidic channel until reaching the corresponding receiver. Although the use of different types of molecules provides orthogonal signaling, the sum broadcast capacity may not scale with the number of the receivers due to physics of the propagation (interplay between convection and diffusion based on distance). In this paper, the performance of broadcast MC on a microfluidic chip is characterized by studying the physical geometry of the microfluidic channel and leveraging the information theory. The convergence of the sum capacity for microfluidic broadcast channel is analytically investigated based on the physical system parameters with respect to the increasing number of molecular receivers. The analysis presented here can be useful to predict the achievable information rate in microfluidic interconnects for the biochemical computation and microfluidic multi-sample assays.
基于香农信道容量定理和菲克扩散定律,研究了带有流动的微流道中的分子通信(MC)。具体来说,研究了单个发射器和多个接收器(广播 MC)之间的 MC 总容量。发射器通过使用不同类型的信号分子与微流道中的每个接收器进行通信。传输分子通过微流道传播,直到到达相应的接收器。尽管使用不同类型的分子提供了正交信号,但由于传播的物理性质(基于距离的对流和扩散之间的相互作用),总广播容量可能不会随接收器数量的增加而扩展。本文通过研究微流道的物理几何形状和利用信息论,来描述微流道芯片上广播 MC 的性能。基于与分子接收器数量增加有关的物理系统参数,对微流道广播信道的和容量收敛性进行了分析。这里提出的分析方法可用于预测生化计算和微流控多样本分析中微流控互连的可实现信息速率。