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    This study introduces molecular communication models using diffusion channels and Multi-Input Multi-Output (MIMO) technology. A novel self-adaptive algorithm significantly reduces the bit error rate (BER) in 2x2 MIMO systems.

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    Area of Science:

    • Communication Engineering
    • Nanotechnology
    • Biomedical Engineering

    Background:

    • Molecular communication leverages nanotechnology and biological principles for information transfer.
    • Diffusion-based channels, modeled by Brownian motion, are prevalent in molecular communication.
    • Multi-input Multi-Output (MIMO) technology enhances traditional communication but introduces inter-symbol interference (ISI) and inter-link interference (ILI) in molecular systems.

    Purpose of the Study:

    • To develop and analyze MIMO molecular communication models considering ISI and ILI.
    • To investigate the impact of various parameters on the bit error rate (BER).
    • To propose and evaluate an algorithm for reducing BER in 2x2 MIMO systems.

    Main Methods:

    • Construction of MIMO, SISO, and SIMO molecular communication models based on diffusion channels and CSK principles.
    • Application of probabilistic theory to derive BER calculation formulas.
    • Development and simulation of a self-adaptive dual threshold algorithm for a 2x2 MIMO system.

    Main Results:

    • Formulas for calculating BER in MIMO diffusion-based channels were established, accounting for ISI and ILI.
    • The influence of key model parameters on BER was systematically analyzed.
    • The proposed self-adaptive dual threshold algorithm demonstrated superior performance in reducing BER compared to existing methods.

    Conclusions:

    • MIMO models provide a framework for understanding complex interference in molecular communication.
    • Parameter tuning is crucial for optimizing BER in diffusion-based molecular communication systems.
    • The developed self-adaptive algorithm offers an effective solution for mitigating BER in 2x2 MIMO molecular communication.