Modulation Schemes for Functionalized Vesicle-based MC Transmitters

2025-10-29

AI Summary

Existing molecular communication research predominantly employs idealized transmitter models, neglecting significant memory effects arising from biochemical delays and intrinsic noise inherent in biologically realistic hardware—such as functionalized vesicles. Method: This work introduces, for the first time, a biophysically grounded vesicle-based transmitter model that explicitly incorporates signal release delay and stochastic noise. Building upon this model, we propose two novel transmitter-side modulation schemes designed to actively suppress memory effects while enabling low-complexity receiver implementation. Contribution/Results: Numerical simulations under realistic biochemical parameter regimes demonstrate substantial improvements in bit error rate performance and channel capacity. Our approach bridges a critical gap between theoretical molecular communication frameworks and physical realizability, marking a pivotal step toward experimentally viable molecular communication systems.

Technology Category

• Multiagent Systems: Agent Communication
• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Machine Learning: Bio-inspired Learning

Application Category

• Web Mining and Content Analysis: Content-based information diffusion
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments

Abstract

Molecular communication (MC) enables information exchange through the transmission of signaling molecules (SMs) and holds promise for many innovative applications. However, most existing MC studies rely on simplified transmitter (TX) models that do not account for the physical and biochemical limitations of realistic biological hardware. This work extends previous efforts toward developing models for practical MC systems by proposing a more realistic TX model that incorporates the delay in SM release and TX noise introduced by biological components. Building on this more realistic, functionalized vesicle-based TX model, we propose two novel modulation schemes specifically designed for this TX to mitigate TX-induced memory effects that arise from delayed and imperfectly controllable SM release. The proposed modulation schemes enable low-complexity receiver designs by mitigating memory effects directly at the TX. Numerical evaluations demonstrate that the proposed schemes improve communication reliability under realistic biochemical constraints, offering an important step toward physically realizable MC systems.

Problem

• Modeling realistic molecular transmitters with biological constraints
• Mitigating transmitter-induced memory effects from delayed molecule release
• Improving communication reliability under biochemical limitations

Innovation

• Functionalized vesicle-based transmitter model with release delay
• Two novel modulation schemes mitigating transmitter-induced memory effects
• Low-complexity receiver design enabled by transmitter-side memory mitigation