Diffusion-Based Molecular Communication Channel in Presence of a Probabilistic Absorber: Single Receptor Model and Congestion Analysis
Diffusion-Based Molecular Communication Channel in Presence of a Probabilistic Absorber: Single Receptor Model and Congestion Analysis
复制标题
概率吸收体存在下基于扩散的分子通信通道：单受体模型和拥塞分析
DOI：
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发表时间：
2019
影响因子：
3.9
通讯作者：
E. Alarcón
中科院分区：
文献类型：
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作者：
S. Salehi;N. Moayedian;E. Alarcón
在这篇文章中，建立了一个基于扩散的分子通信信道的模型。概率吸收体是一种在碰撞时以概率${q}$吸收分子的吸收体。通过随机游走分析，可以得到存在概率吸收体时粒子位置的离散概率函数。然后，通过向无界环境中无吸收障碍物中粒子位置的已知概率函数引入几个拟合参数，将连续概率函数与基于马尔可夫的结果进行拟合。在该方法中，单个接收者被建模为M/M/1/1排队，其中${q}$代表互补阻塞概率，平均服务时间为平均运送时间。因此，我们能够模拟配体-受体结合的随机性质，这源于受体无法接收其空间中的所有分子；也称为受体占有率。适当地考虑吸收效应，可以准确地计算出所需位置的浓度，这肯定小于忽略它时得到的浓度。这些发现对设计药物输送系统具有至关重要的作用，其中确定药物传输纳米机器的最佳速率对于在保持有效性的同时避免毒性至关重要。
In this paper, a diffusion-based molecular communication channel is modeled in presence of a probabilistic absorber. The probabilistic absorber is an absorber which absorbs molecules upon collision with probability ${q}$ . With random walk analysis, the discrete probability function of particle location in the presence of a probabilistic absorber can be found. Then, a continuous probability function is fitted to this Markov-based results with introducing several fitting parameters to the known probability function of particle location in an unbounded environment without an absorbing barrier. With this approach, a single receptor is modeled as an M/M/1/1 queue in which ${q}$ represents the complementary blocking probability and the mean service time is the mean trafficking time. Therefore, we are able to model the stochastic nature of ligand-receptor binding, which comes from the incapability of a receptor to receive all molecules in its space; and also known as receptor occupancy. The proper consideration of the absorption effect leads to the accurate calculation of the concentration at the desired site, which is definitely less than the concentration obtained when neglecting it. These findings can have a crucial role in designing drug delivery systems in which determining the optimal rate of the drug transmitting nanomachines is critical to avoid toxicity while maintaining effectiveness.