Performance Analysis and ISI Mitigation With Imperfect Transmitter in Molecular Communication

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS IEEE Transactions on NanoBioscience Pub Date : 2024-03-14 DOI:10.1109/TNB.2024.3375933
Dongliang Jing;Lin Lin;Andrew W. Eckford
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Abstract

In molecular communication (MC), molecules are released from the transmitter to convey information. This paper considers a realistic molecule shift keying (MoSK) scenario with two species of molecule in two reservoirs, where the molecules are harvested from the environment and placed into different reservoirs, which are purified by exchanging molecules between the reservoirs. This process consumes energy, and for a reasonable energy cost, the reservoirs cannot be pure; thus, our MoSK transmitter is imperfect, releasing mixtures of both molecules for every symbol, resulting in inter-symbol interference (ISI). To mitigate ISI, the properties of the receiver are analyzed and a detection method based on the ratio of different molecules is proposed. Theoretical and simulation results are provided, showing that with the increase of energy cost, the system achieves better performance. The good performance of the proposed detection scheme is also demonstrated.
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分子通信中不完美发射机的性能分析和 ISI 缓解。
在分子通信(MC)中,分子从发射器中释放出来传递信息。本文考虑了一种现实的分子移调(MoSK)方案,即在两个贮存器中有两种分子,分子从环境中采集并放入不同的贮存器中,通过在贮存器之间交换分子来纯化贮存器。这一过程需要消耗能量,而为了实现合理的能量成本,储层不可能是纯净的;因此,我们的 MoSK 发射器并不完美,每个符号都会释放两种分子的混合物,从而导致符号间干扰(ISI)。为了减轻 ISI,我们分析了接收器的特性,并提出了一种基于不同分子比率的检测方法。理论和仿真结果表明,随着能量成本的增加,系统能获得更好的性能。同时还证明了所提出的检测方案的良好性能。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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