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arXiv 2301.01049eess.SPcs.ITmath.IT
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分子通讯的频域检测

Frequency-Domain Detection for Molecular Communications

Meltem Civas, Ali Abdali, Murat Kuscu, Ozgur B. Akan

摘要:

分子通信(MC)是一种生物启发的通信范式,它使用分子作为信息载体,因此需要非常规的发射机/接收机架构和调制/检测技术。实际的MC接收器(MC-Rxs)可以基于场效应晶体管生物传感器(bioFET)架构来实现,其中表面受体与配体可逆地反应,配体的浓度编码信息。然后,配体结合受体的时变浓度通过场效应转化为电信号,用于解码传输的信息。然而,配体-受体相互作用不提供理想的分子选择性,因为类似类型的配体,即,MC通道中共存的受体可以与相同类型的受体相互作用,导致串扰。用Rx的电输出的时域样本克服这种分子串扰并不总是可实现的,特别是当Rx不知道调制器统计或其在接近饱和时。在这项研究中,我们提出了一种频域检测(FDD)技术的bioFET为基础的MC-Rx,它利用不同类型的配体的结合反应速率的差异,反映了配体-受体结合波动的噪声谱。我们解析推导出的FDD技术的误码率(BEP),并证明其有效性在解码传输浓度信号随机分子干扰下,在一个广泛使用的时域检测(TDD)技术相比。所提出的FDD方法可以应用于任何基于生物传感器的MC-Rx,其采用受体分子作为通道Rx界面。

英文摘要:

Molecular Communications (MC) is a bio-inspired communication paradigm which uses molecules as information carriers, thereby requiring unconventional transmitter/receiver architectures and modulation/detection techniques. Practical MC receivers (MC-Rxs) can be implemented based on field-effect transistor biosensor (bioFET) architectures, where surface receptors reversibly react with ligands, whose concentration encodes the information. The time-varying concentration of ligand-bound receptors is then translated into electrical signals via field-effect, which is used to decode the transmitted information. However, ligand-receptor interactions do not provide an ideal molecular selectivity, as similar types of ligands, i.e., interferers, co-existing in the MC channel can interact with the same type of receptors, resulting in cross-talk. Overcoming this molecular cross-talk with time-domain samples of the Rx's electrical output is not always attainable, especially when Rx has no knowledge of the interferer statistics or it operates near saturation. In this study, we propose a frequency-domain detection (FDD) technique for bioFET-based MC-Rxs, which exploits the difference in binding reaction rates of different types of ligands, reflected to the noise spectrum of the ligand-receptor binding fluctuations. We analytically derive the bit error probability (BEP) of the FDD technique, and demonstrate its effectiveness in decoding transmitted concentration signals under stochastic molecular interference, in comparison to a widely-used time-domain detection (TDD) technique. The proposed FDD method can be applied to any biosensor-based MC-Rxs, which employ receptor molecules as the channel-Rx interface.

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