Reliable Receiving Strategies in Diffusion-Based Molecular Communication with Drift Velocity

This paper focuses on two prominent strategies: the matched filter (MF) and the Adaptive-increase detection algorithm (A-IDA), aimed at improving the performance of bit error rate (BER) in diffusion-based molecular communication systems. The matched filter is a fundamental component in the receiver that aims to maximize the signal-to-noise ratio (SNR) by shaping the impulse response of the system. By designing the matched filter to align with the channel impulse response, the interference from adjacent symbols is minimized, resulting in improved detection accuracy. Enhancements in the detection algorithm further contribute to improved BER performance. These algorithms process the output of the matched filter to make reliable symbol decisions. Threshold-based detection can be employed to optimize symbol detection. By adapting the decision thresholds and updating them, the detection algorithm enhances the system’s resilience to noise and interference, resulting in lower BER. The efficiency of this method in increasing the reliability of DBMC systems under diverse environmental factors was validated by MATLAB simulations. This study paves the way for applications in a variety of sectors, including bioengineering and biomedical systems, and helps to establish reliable communication in nanoscale networks.