Parameter Estimation of Diffusive Molecular Communication With Drift

Abstract

Molecular communication is a novel communication paradigm, which has prospective potential applications in many fields. Obtaining knowledge of the diffusive molecular channel is important for the design of the molecular communication systems as well as proper working of many application systems. In this paper, we focus on a kind of molecular communication system with flow drift, which is modeled as an inverse Gaussian distributed channel. The maximum likelihood estimation method is applied to obtain the estimator of parameters such as medium velocity, propagation distance, and diffusion coefficient. This paper also derives the closed-form expressions of the Cramer-Rao lower bounds. The performances of our channel parameter estimators are validated in MATLAB and the results confirm its effectiveness.

Keywords

• Molecular communication
• drift
• channel parameter estimation
• maximum likelihood estimation
• Cramer Rao lower bound