Metric combinations in non-coherent signal detection for molecular communication

Liu, Shenghan; Wei, Zhuangkun; Li, Bin; Guo, Weisi; Zhao, Chenglin

doi:10.1016/j.nancom.2019.02.001

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…The background noise, also known as signal-independent noise of a MCvD system [28], mainly consists of the random generation and annihilation of messenger molecules, and interference from other communication links utilizing the same type of messenger molecules. The noise originated from these phenomenons is similar to the white noise in wireless communication, which means the noise could be modeled as Additive White Gaussian Noise (AWGN).…”

Section: Preliminaries and Modulation Techniques A Preliminariesmentioning

confidence: 99%

Channel Capacity Analysis of a Comprehensive Absorbing Receiver for Molecular Communication via Diffusion

Liu

Wei

Wang³

et al. 2020

IEEE Access

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Section: Preliminaries and Modulation Techniques A Preliminariesmentioning

confidence: 99%

Channel Capacity Analysis of a Comprehensive Absorbing Receiver for Molecular Communication via Diffusion

Liu

Wei

Wang³

et al. 2020

IEEE Access

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“…Similarly, an additive counting noise is defined and employed in the literature to model the error between the constant signal outside the RN and the reconstructed signal, but the distortion between them is not derived in these studies. Furthermore, the additive noise approach is used in several studies about noncoherent signal detection . However, these papers focus on mitigating the effect of intersymbol interference due to the long‐tail nature of the channel impulse response, not the sensing model of the RN.…”

Section: Introductionmentioning

confidence: 99%

Signal reconstruction in diffusion‐based molecular communication

Atakan

Gulec

2019

Trans Emerging Tel Tech

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Molecular communication (MC) is an important nanoscale communication paradigm, which is employed for the interconnection of the nanomachines (NMs) to form nanonetworks. A transmitter NM (TN) sends the information symbols by emitting molecules into the transmission medium and a receiver NM (RN) receives the information symbols by sensing the molecule concentration.In this paper, a model of how an RN measures and reconstructs the molecular signal is proposed. The signal around the RN is assumed to be a Gaussian random process instead of the less realistic deterministic approach. After the reconstructed signal is derived as a doubly stochastic poisson process, the distortion between the signal around the RN and the reconstructed signal is derived as a new performance parameter in MC systems. The derived distortion, which is a function of system parameters such as RN radius, sampling period, and the diffusion coefficient of the channel, is shown to be valid by employing random walk simulations. Then, it is shown that the original signal can be satisfactorily reconstructed with a sufficiently low level of distortion. Finally, optimum RN design parameters, namely, RN radius, sampling period, and sampling frequency, are derived by minimizing the signal distortion. The simulation results reveal that there is a trade-off among the RN design parameters which can be jointly set for a desired signal distortion.Trans Emerging Tel Tech. 2019;30:e3699.wileyonlinelibrary.com/journal/ett

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“…Finally, the Rx section recreates the original information according to the time-varying concentration of the information. [1][2][3][4] Fig. 1 MCVD systems generally take the following assumptions.…”

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confidence: 99%

Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

Wen

2021

J. Phys.: Conf. Ser.

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In order to solve the problem of intercode interference (ISI) and background noise caused by molecular diffusion in molecular communication, Honda analyzed and studied four methods to resist ISI signal, and analyzed the characteristics of the received signal at the moment. A reliable incoherent molecular signal detection algorithm independent of channel impulse response (CIR) is proposed, and an adaptive threshold calculation method is designed, and the theoretical value of bit error rate (BER) is given. The simulation results show that the proposed scheme BER is lower than the traditional scheme BER under the same computational complexity, so it has a wide application prospect in the nanoscale molecular communication system with limited computing power.

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Metric combinations in non-coherent signal detection for molecular communication

Cited by 10 publications

References 22 publications

Channel Capacity Analysis of a Comprehensive Absorbing Receiver for Molecular Communication via Diffusion

Channel Capacity Analysis of a Comprehensive Absorbing Receiver for Molecular Communication via Diffusion

Signal reconstruction in diffusion‐based molecular communication

Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

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