An Extended Kalman Filter for Distance Estimation and Power Control in Mobile Molecular Communication

TL;DR

This paper introduces an extended Kalman filter-based approach for distance estimation and power control in a mobile molecular communication system, improving detection accuracy in blood-vessel-like environments.

Contribution

It presents a novel application of an extended Kalman filter for distance estimation and adaptive power control in mobile molecular communication systems.

Findings

The proposed scheme reduces bit error rate in simulations.

A fixed optimal detection threshold is effective with power control.

The method accounts for nonlinear movement of nanomachines.

Abstract

In this paper, we consider a mobile molecular communication (MC) system consisting of two mobile nanomachines, a transmitter and a receiver, propelled by a positive drift velocity and Brownian motion in a realistic blood-vessel-type flow regime. Considering the nonlinear movement of the nanomachines, an extended Kalman filter is employed to estimate the distance from the transmitter. Furthermore, based on the predicted distance, to keep the number of received molecules for bit 1 at a stable level, we employ power control on the number of transmitted molecules based on the distance between the transmitter and the receiver and the residual molecules in the channel from the previous transmission. Finally, the optimal detection threshold is obtained by minimizing the error probability. It is verified that a fixed optimal detection threshold can be effective for the power control scheme in the mobile MC. The bit error rate (BER) performance of our scheme is verified via simulation results.