Higher Order Derivative-Based Receiver Preprocessing for Molecular Communications
Higher Order Derivative-Based Receiver Preprocessing for Molecular Communications
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DOI：
10.1109/tmbmc.2022.3172439
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
Mustafa Can Gursoy;U. Mitra
中科院分区：
文献类型：
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作者：
Mustafa Can Gursoy;U. Mitra
虽然经由扩散的分子通信经历显著的符号间干扰（ISI），但是最近的工作表明ISI可以经由实现脉冲变窄的时间微分预处理来减轻。在这里，该方法被推广到高阶微分。ISI缓解和噪声放大之间的基本权衡的特点，示出存在一个最佳的导数阶，最大限度地降低误码率（BER）。理论分析的BER和信号与干扰加噪声比提供，导数阶数优化问题的阈值为基础的检测器提出并解决。对于更复杂的检测器，利用窗口存储器，它示出的衍生物预处理可以大大减少所需的窗口的大小。大量的数值结果证实了理论推导的准确性，通过导数预处理的性能增益超过其他方法和最佳导数阶数的影响。导数预处理提供了一种低复杂度/高性能的方法，用于以增加的传输功率为代价来减少ISI，以减少噪声放大。
While molecular communication via diffusion experiences significant inter-symbol interference (ISI), recent work suggests that ISI can be mitigated via time differentiation pre-processing which achieves pulse narrowing. Herein, the approach is generalized to higher order differentiation. The fundamental trade-off between ISI mitigation and noise amplification is characterized, showing the existence of an optimal derivative order that minimizes the bit error rate (BER). Theoretical analyses of the BER and a signal-to-interference-plus-noise ratio are provided, the derivative order optimization problem is posed and solved for threshold-based detectors. For more complex detectors which exploit a window memory, it is shown that derivative pre-processing can strongly reduce the size of the needed window. Extensive numerical results confirm the accuracy of theoretical derivations, the gains in performance via derivative pre-processing over other methods and the impact of the optimal derivative order. Derivative pre-processing offers a low complexity/high-performance method for reducing ISI at the expense of increased transmission power to reduce noise amplification.