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Inter-Symbol Interference (ISI) is the main challenge of bio-inspireddiffusion-based molecular communication. In real biological systems, thedegradation of the remaining molecules from a previous transmission is used tomitigate ISI. While most prior works have proposed the use of enzymes tocatalyze the molecule degradation, enzymes also degrade the molecules carryingthe information, which drastically decreases the signal strength. In thispaper, we propose the use of photolysis reactions, which use the light toinstantly transform the emitted molecules so they are no longer recognizedafter their detection. The light is emitted at an optimal time, allowing thereceiver to detect as many molecules as possible, which increases both thesignal strength and ISI mitigation. A lower bound expression on the expectednumber of the observed molecules at the receiver is derived. The bit errorprobability expression is also formulated. Both the expected number of observedmolecules and the bit error expressions are validated with simulation results,which show a visible enhancement when using photolysis reactions. Theperformance of the proposed method is evaluated using theInterference-to-Total-Received molecules metric (ITR) and the derived bit errorprobability.

Performance Enhancement of Diffusion-based Molecular Communication with Photolysis