Spatially Distributed Molecular Communications: An Asynchronous Stochastic Model
Spatially Distributed Molecular Communications: An Asynchronous Stochastic Model
复制标题
空间分布式分子通信：异步随机模型
DOI：
10.1109/lcomm.2018.2826018
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
F. Zabini
中科院分区：
文献类型：
--
作者：
F. Zabini
本文利用点过程理论研究了大规模分子通讯系统。一群点发射机随机放置在一个有界的空间被认为是与一个单一的完全吸收接收器。发射机的位置由空间点过程建模，但是去除了先前工作所采用的全局时钟假设。更准确地说，每个点发射机的发射时间被认为是随机的，并由非平稳时域点过程建模。我们表明，如果强度函数是相同的所有时间点的过程（从而采取的意义的分布式输入），每时间单位（接收速率）接收到的分子的平均数量可以通过卷积计算：集体响应一个分子发射可以适当地解释为脉冲响应。该模型统一了所有广为人知的发射机模型（精确浓度，泊松浓度和定时发射机），其结果是特殊情况。给出了接收速率的解析表达式，并通过蒙特-卡罗仿真进行了验证。
This letter studies large-scale molecular communication systems by using point processes theory. A swarm of point transmitters randomly placed in a bounded space are considered in conjunction with a single fully absorbing receiver. The transmitters’ positions are modeled by a spatial point process, but the global clock assumption, adopted by prior works, is here removed. More precisely, the emission times for each point transmitter are considered as random and are modeled by a non-stationary time-domain point process. We show that, if the intensity function is the same for all time point processes (thus taking the meaning of a distributed input), the average number of received molecules per time unit (receiving rate) can be computed through a convolution: the collective response to a one-molecule emission can be properly interpreted as the impulse response. This models unifies all the widely known transmitter models (exact concentration, Poisson concentration, and timing transmitter), which result as special cases. Analytical expressions for the receiving rate are provided and validated by Monte-Carlo simulations.
影响因子：
18.2
作者：
Kaeser PS;Regehr WG
通讯作者：
Regehr WG