Performance Enhancement of Diffusion-Based Molecular Communication.

Area of Science:

• Biomolecular Engineering
• Molecular Communication Systems
• Information Theory

Background:

• Inter-Symbol Interference (ISI) is a significant challenge in bio-inspired diffusion-based molecular communication.
• Existing methods using enzymes for molecule degradation reduce signal strength by affecting information-carrying molecules.

Purpose of the Study:

• To propose and evaluate photolysis reactions as a novel method for ISI mitigation in molecular communication.
• To enhance signal strength and reduce bit error probability compared to traditional methods.

Main Methods:

• Utilizing light-induced photolysis to rapidly transform emitted molecules after detection.
• Deriving lower bound expressions for the expected number of observed molecules.
• Formulating bit error probability expressions and validating through simulations.

Main Results:

• Photolysis reactions significantly enhance signal strength and ISI mitigation.
• The proposed method demonstrates visible performance improvements validated by simulation.
• Interference-to-Total-Received molecules (ITR) metric and bit error probability confirm effectiveness.

Conclusions:

• Photolysis offers a superior alternative to enzyme-based degradation for ISI mitigation in molecular communication.
• Optimized light emission timing maximizes molecule detection and communication efficiency.
• The study provides a theoretical and simulation-based validation of photolysis's benefits.