Distance Estimation Schemes for Diffusion Based Molecular Communication Systems

“…Accordingly, the NB can adjust the sampling time and set the judging condition to determine whether '1' or '0' is transmitted. There exist several distance estimation schemes, such as those shown in [18,20,21]. In this paper, the scheme employing the peak concentration time to estimate the distance, proposed in [18], is selected for two reasons.…”

Section: The Concentration-based Molecular Communications Modelmentioning

confidence: 99%

“…There exist several distance estimation schemes, such as those shown in [18,20,21]. In this paper, the scheme employing the peak concentration time to estimate the distance, proposed in [18], is selected for two reasons. Firstly, this scheme is implemented based on the same propagation model as the one utilised in this paper, which will be introduced later.…”

Section: The Concentration-based Molecular Communications Modelmentioning

confidence: 99%

“…In [4], the value of the threshold is designed to maximise a posteriori probability, but the system model should be refined by considering the emission effect. Other research such as [18,19] has taken the emission process into account, and the threshold changes with regards to the previously decoded bits. However, the threshold should be further optimised to mitigate the influence of the channel memory and noise.…”

Section: Introductionmentioning

confidence: 99%

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An optimal decoding algorithm for Molecular Communications systems with noise, memory, and pulse width

Wang

Higgins

et al. 2016

Nano Communication Networks

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Molecular Communications (MC) is a promising paradigm to achieve message exchange between nano-machines. Due to the specific characteristics of MC systems, the channel noise and memory significantly influence the MC system performance. Aiming to mitigate the impact of these two factors, an adaptive decoding algorithm is proposed by optimising the symbol determination threshold. In this paper, this novel decoding scheme is deployed onto a concentration-based MC system with the transmitter emission process considered. To evaluate the performance, an information theoretical approach is developed to derive the Bit Error Rate (BER) and the channel capacity. Simulations are also carried out to verify the accuracy of these formulations, to compare the performance difference against other decoding schemes, and to illustrate the performance deviation caused by different designing of relevant parameters. Furthermore, the performance of MC systems with the distance unknown is also analysed. Comparisons between distance-pre-known and distance-unknown systems are provided.

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Channel impulse response‐based source localization in a diffusion‐based molecular communication system

Baidoo-Williams

Rahman

Abbasi

2020

Internet Technology Letters

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Molecular source localization finds its applications in future healthcare systems, including proactive diagnostics. This work localizes a molecular source in a diffusion based molecular communication (DbMC) system via a minimal set of passive anchor nodes and a fusion center. Two methods are presented which both utilize (the peak of) the channel impulse response measurements to uniquely localize the source, under the assumption that the molecular source of interest lies within the open convex‐hull of the sensor/anchor nodes. The first method is a one‐shot, triangulation‐based approach which estimates the unknown location of the molecular source using least‐squares method. The second method is an iterative approach, which utilizes the gradient‐descent control law to minimize a non‐convex cost function. The corresponding Cramer‐Rao bound (CRB) is also derived. Simulation results reveal that: (a) the gradient‐descent method outperforms the triangulation method (in terms of mean squared error performance) for a wide range of values of signal‐to‐noise ratio; (b) the gradient‐descent method converges to the true source location uniformly (in less than 100 iterations).

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Distance Estimation Schemes for Diffusion Based Molecular Communication Systems

Cited by 62 publications

References 13 publications

Relay Analysis in Molecular Communications With Time-Dependent Concentration

Relay Analysis in Molecular Communications With Time-Dependent Concentration

An optimal decoding algorithm for Molecular Communications systems with noise, memory, and pulse width

Channel impulse response‐based source localization in a diffusion‐based molecular communication system

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