2017
DOI: 10.1109/tnb.2017.2753230
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Improving the Capacity of Molecular Communication Using Enzymatic Reaction Cycles

Abstract: This paper considers the capacity of a diffusion-based molecular communication link assuming the receiver uses chemical reactions. The key contribution is we show that enzymatic reaction cycles, which is a class of chemical reactions commonly found in cells consisting of a forward and a backward enzymatic reaction, can improve the capacity of the communication link. The technical difficulty in analyzing enzymatic reaction cycles is that their reaction rates are nonlinear. We deal with this by assuming that the… Show more

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Cited by 28 publications
(26 citation statements)
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References 58 publications
(112 reference statements)
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“…Note this is a form of chemical Langevin equation and is similar to our previous works see [10]. There are three terms on the right-hand side of Eq.…”
Section: B Diffusion-only Subsystemsupporting
confidence: 56%
See 2 more Smart Citations
“…Note this is a form of chemical Langevin equation and is similar to our previous works see [10]. There are three terms on the right-hand side of Eq.…”
Section: B Diffusion-only Subsystemsupporting
confidence: 56%
“…This means that within an infinitesimal time δt, the probability that a molecule diffuses to a neighbouring voxel is dδt. For further details see [10].…”
Section: System Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that h i depends on the channel opening probability P o of the mechanosensitive ion channel i which is obtained from Eq. (15). The expression in Eq.…”
Section: B Model For Multiple Mechanosensitive Activation Signalsmentioning
confidence: 99%
“…Similarly, in [8] an upper bound on the capacity is calculated for a Poisson channel with a maximum transmission constraint in the low signal-to-noise ratio regime. In [9] a different approach is taken where the authors use enzymatic reaction cycles to improve the upper bound of mutual information for a diffusion-based communication system. Also, the capacity of these channels can be evaluated numerically by using Blahut-Arimoto algorithm or its variants [10].…”
Section: Introductionmentioning
confidence: 99%