Problem
Research questions and friction points this paper is trying to address.
Molecular communication
Pulsatile flow
Dispersive channel
Closed-loop channel
Cardiovascular system
Analytical Modeling of Dispersive Closed-loop MC Channels with Pulsatile Flow
🤖 AI Summary
This study addresses the limitation of existing molecular communication channel models, which typically assume constant flow velocity and thus fail to capture the impact of pulsatile flow induced by heartbeat in cardiovascular systems. For the first time, pulsatile flow is incorporated into a one-dimensional closed-loop molecular communication channel model. By solving the convection–diffusion equation, the authors derive an analytical expression for the channel impulse response, which exhibits cyclostationary characteristics. The resulting molecular concentration distribution is described by a wrapped normal distribution with time-varying mean and variance. Three-dimensional particle-based simulations validate that the proposed model accurately and efficiently characterizes the dynamic behavior of molecular communication channels under pulsatile flow, revealing the critical influence of pulsatility on the temporal concentration profile.
📝 Abstract
Molecular communication (MC) is a communication paradigm in which information is conveyed through the controlled release, propagation, and reception of molecules. Many envisioned healthcare applications of MC are expected to operate inside the human body. In this environment, the cardiovascular system ( CVS) acts as the physical channel, which forms a closed-loop network where particle transport is mainly governed by the combined effects of diffusion and flow. Despite the fact that physiological flows in many parts of the human body are inherently pulsatile due to the cardiac cycle, most existing models for dispersive closed-loop MC channels assume a constant flow velocity. In this paper, we present a time-variant one-dimensional (1D ) channel model for dispersive closed-loop MC systems with pulsatile flow. We derive an analytical expression for the channel impulse response (CIR ), which follows a wrapped Normal distribution with time-variant mean and variance. The obtained model reveals the cyclostationary nature of the channel and quantifies the influence of pulsation on the temporal concentration profile compared to steady-flow systems. Finally, the model is validated by three-dimensional ( 3D ) particle-based simulations (PBS s), showing excellent agreement and enabling an efficient analytical characterization of the channel.
Innovation
Methods, ideas, or system contributions that make the work stand out.
pulsatile flow
dispersive closed-loop MC channel
time-variant channel model
wrapped Normal distribution
channel impulse response
🔎 Similar Papers
No similar papers found.
