Improving the capacity of molecular communication using enzymatic reaction cycles
arXiv:1707.05912 · doi:10.1109/TNB.2017.2753230
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 analysing enzymatic reaction cycles is that their reaction rates are nonlinear. We deal with this by assuming that the amount of certain chemicals in the enzymatic reaction cycle is large. In order to simplify the problem further, we use singular perturbation to study a particular operating regime of the enzymatic reaction cycles. This allows us to derive a closed-form expression of the channel gain. This expression suggests that we can improve the channel gain by increasing the total amount of substrate in the enzymatic reaction cycle. By using numerical calculations, we show that the effect of the enzymatic reaction cycle is to increase the channel gain and to reduce the noise, which results in a better signalto- noise ratio and in turn a higher communication capacity. Furthermore, we show that we can increase the capacity by increasing the total amount of substrate in the enzymatic reaction cycle.
38 Pages, 10 Figures
References in corpus (4)
- A Comprehensive Survey of Recent Advancements in Molecular Communication
- A Markovian Approach to the Optimal Demodulation of Diffusion-based Molecular Communication Networks
- Generalized Solution for the Demodulation of Reaction Shift Keying Signals in Molecular Communication Networks
- Molecular communication networks with general molecular circuit receivers
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