Molecular Communication via Diffusion (MCvD) is a prominent small-scale technology, which roots from the nature. Molecular single-input-single-output (SISO) topology is one of the most studied molecular networks in the literature, with solid analytical foundations on channel behavior and advanced modulation techniques. Although molecular SISO topologies are well-studied, the literature is yet to provide sufficient analytical modeling on multiple-output systems with fully absorbing receivers. In this paper, a comprehensive recursive model for channel estimation and modeling of molecular single-input-multiple-output (SIMO) systems is proposed as a sufficiently accurate channel approximation method. With its recursive nature, the model is used to estimate the channel behavior of molecular SIMO systems. A simplified approximation model is also presented with reduced computational requirements, resulting in slightly less accurate channel estimation. Analytical expressions for both models are derived. The performance of the proposed methods are evaluated via topological analysis and error metrics, and the methods show promising results on channel estimation compared to computer-simulated data. Furthermore, the approximation matches quite well with the comprehensive model, which indicates significant success in terms of model performance.
翻译:分子单项投入-多产出(SIMO)系统是文献中研究最多的分子网络之一,具有关于频道行为和先进的调制技术的坚实分析基础。虽然分子SISO表层研究周密,但文献尚未就具有完全吸收接收器的多重产出系统提供充分的分析模型。本文提出一个全面的循环模型,用于频道估计和模拟分子单项投入-多产出(SIMO)系统(SIMO)系统,作为足够准确的通道近似方法。该模型具有循环性质,用来估计分子沉积物系统的渠道行为。一个简化的近似模型的计算要求也有所减少,导致对频道估计的精确度略低。两种模型的分析表达方式都是通过表层分析和误差度评估的。本文件提出的方法的绩效通过表层分析和误度评估,以及显示频道估计与计算机模型数据相比前景良好的方法。此外,该模型的精确性能也很好地显示模型的成功性。