球形分子通信通过扩散：同质细胞聚集体之间的信号传递
Spheroidal Molecular Communication via Diffusion: Signaling Between Homogeneous Cell Aggregates
AI总结：
本研究针对球形细胞聚集体间的扩散分子通信，建立多孔介质模型，解析推导格林函数，发现接收球体孔隙率与传输速率存在权衡，降低接收孔隙率可提升系统性能。
摘要：
近期分子通信（MC）研究已整合更详细的计算模型，以捕捉实际生物物理系统的动态。本研究聚焦于开发受球形体启发的MC收发器现实模型——球形体是器官芯片实验系统中常用的三维细胞聚集体。可用于或建模为球形体潜在应用包括器官芯片系统中的营养运输、癌性肿瘤部位生物标志物的释放或药物分子的接收，或参与信息交换的收发器纳米机器。本文考虑一个简单的扩散MC系统，其中球形发射器和接收器位于无界流体环境中。这些球形天线被建模为扩散信号分子的多孔介质，然后表征其边界条件和有效扩散系数。进一步，对于点源或球形发射器，解析推导了接收球体外部和内部的浓度格林函数（GFC），并以无穷级数形式表示，且通过基于粒子的模拟器（PBS）确认。所提供的GFC使得能够计算球形通信系统中的发射和接收信号。研究表明，接收球体的多孔结构放大扩散信号但也使其分散，因此在孔隙率和信息传输速率之间存在权衡。此外，结果显示发射球体的多孔排列不仅分散接收信号而且衰减它。系统性能也以误码率（BER）评估。降低接收球体的孔隙率被证明能增强系统性能。相反，降低发射球体的孔隙率可能对系统性能产生不利影响。
英文摘要：
Recent molecular communication (MC) research has integrated more detailed computational models to capture the dynamics of practical biophysical systems. This research focuses on developing realistic models for MC transceivers inspired by spheroids - three-dimensional cell aggregates commonly used in organ-on-chip experimental systems. Potential applications that can be used or modeled with spheroids include nutrient transport in an organ-on-chip system, the release of biomarkers or reception of drug molecules by a cancerous tumor site, or transceiver nanomachines participating in information exchange. In this paper, a simple diffusive MC system is considered where a spheroidal transmitter and receiver are in an unbounded fluid environment. These spheroidal antennas are modeled as porous media for diffusive signaling molecules, then their boundary conditions and effective diffusion coefficients are characterized. Further, for either a point source or spheroidal transmitter, Green's function for concentration (GFC) outside and inside the receiving spheroid is analytically derived and formulated in terms of an infinite series and confirmed by a particle-based simulator (PBS). The provided GFCs enable computation of the transmitted and received signals in the spheroidal communication system. This study shows that the porous structure of the receiving spheroid amplifies diffusion signals but also disperses them, thus there is a trade-off between porosity and information transmission rate. Also, the results reveal that the porous arrangement of the transmitting spheroid not only disperses the received signal but also attenuates it. System performance is also evaluated in terms of bit error rate (BER). Decreasing the porosity of the receiving spheroid is shown to enhance system performance. Conversely, reducing the porosity of the transmitting spheroid can adversely affect system performance.
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