# Performance Enhancement of Diffusion-based Molecular Communication with Photolysis

## TL;DR

This paper introduces a novel photolysis-based method to improve diffusion-based molecular communication by reducing inter-symbol interference and increasing signal strength, validated through theoretical analysis and simulations.

## Contribution

It proposes using photolysis reactions to mitigate ISI without degrading signal molecules, offering a new approach over enzyme-based methods.

## Key findings

- Photolysis significantly reduces ISI in molecular communication.
- Theoretical expressions for molecule detection and bit error probability are validated.
- Simulation results show improved communication performance with photolysis.

## Abstract

Inter-Symbol Interference (ISI) is the main challenge of bio-inspired diffusion-based molecular communication. In real biological systems, the degradation of the remaining molecules from a previous transmission is used to mitigate ISI. While most prior works have proposed the use of enzymes to catalyze the molecule degradation, enzymes also degrade the molecules carrying the information, which drastically decreases the signal strength. In this paper, we propose the use of photolysis reactions, which use the light to instantly transform the emitted molecules so they are no longer recognized after their detection. The light is emitted at an optimal time, allowing the receiver to detect as many molecules as possible, which increases both the signal strength and ISI mitigation. A lower bound expression on the expected number of the observed molecules at the receiver is derived. The bit error probability expression is also formulated. Both the expected number of observed molecules and the bit error expressions are validated with simulation results, which show a visible enhancement when using photolysis reactions. The performance of the proposed method is evaluated using the Interference-to-Total-Received molecules metric (ITR) and the derived bit error probability.