基于扩散的分子通信接收器：利用存储器和采样率
Receivers for Diffusion-Based Molecular Communication: Exploiting Memory and Sampling Rate
摘要：
在本文中，一个基于扩散的分子通信信道之间的两个纳米机器被认为是。的内存量对性能的影响的特点，并提出了一个简单的内存有限的解码器，其性能被证明是接近的最好的可能想象的解码器（没有任何限制的计算复杂性或其功能形式），使用Genie辅助上界。这种效应是专门为分子浓度漂移键控的情况下，它表明，一个四位的内存实现了几乎相同的性能无限的内存。然后，一般类的阈值解码器被认为是不是最佳的泊松信道的记忆，除非信噪比高于指定的值在文件中。另一贡献是示出了接收机以高于传输速率的速率采样，即，多读系统，可以显著提高性能。该系统的相关决策规则被示出为在每个符号间隔期间的样本的加权和。利用鞍点近似法分析了系统的性能。过采样系数为3时，性能增益最佳。
英文摘要：
In this paper, a diffusion-based molecular communication channel between two nano-machines is considered. The effect of the amount of memory on performance is characterized, and a simple memory-limited decoder is proposed and its performance is shown to be close to that of the best possible imaginable decoder (without any restriction on the computational complexity or its functional form), using Genie-aided upper bounds. This effect is specialized for the case of Molecular Concentration Shift Keying; it is shown that a four-bits memory achieved nearly the same performance as infinite memory. Then a general class of threshold decoders is considered and shown not to be optimal for Poisson channel with memory, unless SNR is higher than a value specified in the paper. Another contribution is to show that receiver sampling at a rate higher than the transmission rate, i.e., a multi-read system, can significantly improve the performance. The associated decision rule for this system is shown to be a weighted sum of the samples during each symbol interval. The performance of the system is analyzed using the saddle point approximation. The best performance gains are achieved for an oversampling factor of three.
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