Iterative signal detection to mitigate ISI and MUI for diffusion-based molecular communications

IF 2.9 4区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Nano Communication Networks Pub Date : 2021-12-01 DOI:10.1016/j.nancom.2021.100377
Mahendra Singh Thakur , Sanjeev Sharma , Vimal Bhatia
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引用次数: 0

Abstract

Molecular communication via diffusion (MCvD) where bio-molecules carry information is a most promising and viable solution for communication between nanoscale devices. However, slow moving molecules cause inter-symbol-interference (ISI) which is one of the major impediments in MCvD systems. In this work, a novel iterative block-wise non-coherent signal detection method is proposed to mitigate the ISI at the receiver. Since the proposed method does not require the channel state information at the receiver, this reduces the molecular communication system’s complexity. The bit error rate (BER) performance of the proposed iterative detection method is evaluated in the presence of both ISI and counting noise. Substantial improvement in MC system’s BER performance is observed by using the proposed detection method as compared to conventional approach. Furthermore, effectiveness of the proposed scheme is also analyzed in the presence of multiuser interference.

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基于扩散的分子通信中减轻ISI和MUI的迭代信号检测
生物分子携带信息的分子扩散通信(MCvD)是纳米级设备之间最有前途和可行的通信解决方案。然而,缓慢移动的分子会引起符号间干扰(ISI),这是MCvD系统中的主要障碍之一。在这项工作中,提出了一种新的迭代分块非相干信号检测方法来减轻接收机处的ISI。由于所提出的方法不需要接收器处的信道状态信息,这降低了分子通信系统的复杂性。在存在ISI和计数噪声的情况下,评估了所提出的迭代检测方法的误码率(BER)性能。与传统方法相比,使用所提出的检测方法可以显著提高MC系统的BER性能。此外,还分析了该方案在存在多用户干扰的情况下的有效性。
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来源期刊
Nano Communication Networks
Nano Communication Networks Mathematics-Applied Mathematics
CiteScore
6.00
自引率
6.90%
发文量
14
期刊介绍: The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published. Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal.
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