2019
DOI: 10.1109/tcomm.2018.2868079
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On Medium Chemical Reaction in Diffusion-Based Molecular Communication: A Two-Way Relaying Example

Abstract: Chemical reactions are a prominent feature of molecular communication (MC) systems, with no direct parallels in wireless communications. While chemical reactions may be used inside the transmitter nodes, receiver nodes or the communication medium, we focus on its utility in the medium in this paper.Such chemical reactions can be used to perform computation over the medium as molecules diffuse and react with each other (physical-layer computation). We propose the use of chemical reactions for the following purp… Show more

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Cited by 28 publications
(25 citation statements)
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“…Both of these deterministic models involve nonlinear reaction terms. A similar idea was introduced in [30,70] exploiting a Poisson model with mean determined by an underlying deterministic reaction-diffusion system.…”
Section: Reaction-diffusion Master Equationmentioning
confidence: 99%
“…Both of these deterministic models involve nonlinear reaction terms. A similar idea was introduced in [30,70] exploiting a Poisson model with mean determined by an underlying deterministic reaction-diffusion system.…”
Section: Reaction-diffusion Master Equationmentioning
confidence: 99%
“…This way, type-B molecules degrade the type-A molecules that linger in the channel for longer times, effectively mitigating ISI. Furthermore, as shown in [31], degradation reactions can also be employed at various stages of a two-way molecular communications link to mitigate ISI in both directions.…”
Section: Molecule Type As a Degree Of Freedommentioning
confidence: 99%
“…A common model is to assume that space is continuous, see e.g. [24], [25], [26], [11], [13]. In this paper, we assume that the medium is divided into voxels [27], [28], [29].…”
Section: Related Workmentioning
confidence: 99%
“…" dXp ptq dt `" ? V´k`n R,1 ptqr x 1 ptq`k`r n R,1 ptqx 1 ptq`d r r x2ptqbk`n R,1 ptqx 1 ptqγ ar,rv1 ptq`ad rx2 ptqγ d,X˚,2to1 ptq.˙ (13) By combining this with the Lyapunov differential equation for calculating the covariance of the concentration, we can compute the joint probability distribution of Z 0 ptq, Z 1 ptq, ... , Z K´1 ptq.…”
mentioning
confidence: 99%