Diffusion-controlled interface kinetics-inclusive system-theoretic propagation models for molecular communication systems

Abstract

Inspired by biological systems, molecular communication has been proposed as a new communication paradigm that uses biochemical signals to transfer information from one nano device to another over a short distance. The biochemical nature of the information transfer process implies that for molecular communication purposes, the development of molecular channel models should take into consideration diffusion phenomenon as well as the physical/biochemical kinetic possibilities of the process. The physical and biochemical kinetics arise at the interfaces between the diffusion channel and the transmitter/receiver units. These interfaces are herein termed molecular antennas. In this paper, we present the deterministic propagation model of the molecular communication between an immobilized nanotransmitter and nanoreceiver, where the emission and reception kinetics are taken into consideration. Specifically, we derived closed-form system-theoretic models and expressions for configurations that represent different communication systems based on the type of molecular antennas used. The antennas considered are the nanopores at the transmitter and the surface receptor proteins/enzymes at the receiver. The developed models are simulated to show the influence of parameters such as the receiver radius, surface receptor protein/enzyme concentration, and various reaction rate constants. Results show that the effective receiver surface area and the rate constants are important to the system's output performance. Assuming high rate of catalysis, the analysis of the frequency behavior of the developed propagation channels in the form of transfer functions shows significant difference introduce by the inclusion of the molecular antennas into the diffusion-only model. It is also shown that for t > > 0 and with the information molecules' concentration greater than the Michaelis-Menten kinetic constant of the systems, the inclusion of surface receptors proteins and enzymes in the models makes the system act like a band-stop filter over an infinite frequency range.

Modeling and Analysis of SiNW FET-Based Molecular Communication Receiver

“…When adapting the tools of conventional communication techniques to MC, these studies have mostly ignored the physical design of system components such as transmitter and receiver. There are only a few studies focusing on the physical aspects of communication units [5], [7], [8]. For example, in [7], the authors propose a biotransceiver architecture which can realize transmitting, receiving and basic processing operations based on the functionalities of genetically engineered bacteria.…”

Spherical Diffusion Model with Semi-Permeable Boundary: A Transfer Function Approach

“…Hence, (15) resembles the state equation of an SSD in the transform domain. Together with (13), both equations constitute an SSD of the solution Y (x, s) of the PDE (6), which is graphically shown on the left hand side of Fig. 2 (switch open, neglecting subscript S1).…”

“…1 Although this model considers the effect of the TX geometry, it neglects the particle generation and the release mechanism. In [6], the TX is modeled by a sphere whose surface is covered by nanopores and a point source for the molecular production at its center. The proposed model only considers the effect of the TX surface on the released molecules via a modified diffusion coefficient.…”

“…is a matrix of damping parameters, depending on the diffusion coefficient D. The spatial derivatives in (2), (3) are captured by the operator ∇I. The matrices and operators in(6) are derived by reformulation and Laplace L{•} transformation of (2), (3) and are given as follows…”

Adaptive Release Duration Modulation for Limited Molecule Production and Storage

“…where (a) follows from the convexity of the probability of error (see Appendix A) and its decreasing property (see (11)). Combining (35) and the above equation, results in P A e −P B e > 0, which means the error probability of scheme B is less than scheme A.…”