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Evaluation of Non-Coherent Signal Detection Techniques for Mobile Molecular Communication
IEEE Transactions on NanoBioscience ( IF 3.7 ) Pub Date : 7-25-2022 , DOI: 10.1109/tnb.2022.3193392
Wenlong Yu 1 , Fuqiang Liu 1 , Hao Yan 2 , Lin Lin 1
Affiliation  

In recent years, there have been more and more research on molecular communication (MC). Because the deployment of mobile nanomachines may be required in some applications of MC, research on mobile MC has become a trend. The signal detection schemes for static MC are no longer applicable due to the time varying channel impulse response (IR), which is caused by the mobile characteristics of nanomachines. In this paper, a low complexity and non-coherent detection scheme is proposed for mobile scenario, which is based on the energy difference between two adjacent symbols. Most of the existing signal detection methods do not consider inter-symbol interference (ISI). Compared with those methods, the proposed scheme can achieve signal detection utilizing ISI without knowing channel state information (CSI). The bit error rate (BER) performance of the proposed method is investigated under different conditions through simulations. Besides, the influence of mobility features of nanomachines on the signal detection accuracy is also investigated in detail. The simulation results demonstrate that the BER performance of the proposed scheme outperforms the latest signal detection scheme for short-distance mobile MC system with high velocity. Consequently, the detection scheme proposed in this paper can reduce the influence of nanomachines’ mobility and has the potential to be used in mobile MC systems.

中文翻译:


移动分子通信非相干信号检测技术的评估



近年来,分子通讯(MC)的研究越来越多。由于MC的某些应用可能需要部署移动纳米机器,因此移动MC的研究已成为一种趋势。由于纳米机器的移动特性导致时变信道脉冲响应(IR),静态MC的信号检测方案不再适用。本文提出了一种针对移动场景的低复杂度非相干检测方案,该方案基于两个相邻符号之间的能量差。现有的信号检测方法大多数没有考虑符号间干扰(ISI)。与这些方法相比,所提出的方案可以在不知道信道状态信息(CSI)的情况下利用ISI实现信号检测。通过仿真研究了不同条件下所提出方法的误码率(BER)性能。此外,还详细研究了纳米机器的迁移特性对信号检测精度的影响。仿真结果表明,该方案的误码率性能优于短距离高速移动MC系统的最新信号检测方案。因此,本文提出的检测方案可以减少纳米机器移动性的影响,并具有在移动MC系统中使用的潜力。
更新日期:2024-08-26
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