Identification for Molecular Communication Based on Diffusion Channel with Poisson Reception Process

TL;DR

This paper models molecular communication via diffusion with a Poisson reception process, deriving capacity bounds and validating them through simulations to aid practical system design at nano- and microscale levels.

Contribution

It introduces a novel 1D diffusion-based model for MC with Poisson noise and provides theoretical capacity bounds validated by simulations.

Findings

Derived lower bound on channel capacity.

Validated theoretical models with simulations.

Supported practical MC system design.

Abstract

Molecular communication (MC) enables information exchange at the nano- and microscale, with applications in areas like drug delivery and health monitoring. These event-driven scenarios often require alternatives to traditional transmission. Identification communication, introduced by Ahlswede and Dueck, offers such an approach, in which the receiver only determines whether a specific message was sent, suiting resource-limited and event-triggered systems. This paper combines MC with identification and proposes a one-dimensional (1D) diffusion-based model. Diffusion noise is modeled as a Poisson process, and a lower bound on channel capacity is derived. Simulations, microscopic, and with short-length deterministic codes, validate theoretical results, including the channel impulse response and error bounds. The findings support the design of practical MC systems, with potential use in testbed development.