PROJECT TITLE :

Impact of Receiver Reaction Mechanisms on the Performance of Molecular Communication Networks

ABSTRACT:

Molecular communication networks can be used to understand communication between nanoscale devices. During a molecular communication network, transmitters and receivers communicate by using signalling molecules. At the receivers, the signalling molecules react, via a series of chemical reactions, to produce output molecules. The counts of output molecules over time is that the output signal of the receiver. The output signal is noisy due to the stochastic nature of diffusion and chemical reactions. This paper aims to characterise the properties of the output signal. We try this by modelling the transmission medium, transmitter and receiver. In order to simplify the analysis, we tend to model the transmitter as a sequence which specifies the amount of molecules emitted by the transmitter over time. This paper considers two receiver reaction mechanisms, reversible conversion and linear catalytic, that will be used to approximate, respectively, ligand-receptor binding and enzymatic reactions. These 2 mechanisms are chosen because, if we have a tendency to contemplate them on their own (i.e. without the transmitter and diffusion), the ordinary differential equations describing the mean behaviour of those two reaction mechanisms have the identical form; however, if we tend to consider the top-to-finish behaviour from the transmitter signal to the mean/variance of the quantity of output molecules, then these two receiver reaction mechanisms have terribly different behaviours. We have a tendency to show this by deriving analytical expressions for the mean, variance and frequency properties of the amount of output molecules of these 2 receiver reaction mechanisms. Further, for reversible conversion, we have a tendency to are able to derive the exact probability distribution of the quantity of output molecules. Our model permits us to study the impact of design parameters on the communication performance. For example, we have a tendency to assume that our receiver is enclosed by a membrane and we study the impact of the diffusibility of molecules across this membrane on th- communication performance.


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