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Improving adaptive receivers performance in molecular communication via diffusion.

Arzhang Shahbazi1, Ali Jamshidi2

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This study introduces a novel adaptive algorithm for molecular communications (MC) receivers to improve data reliability in drug delivery and health monitoring. The new detector effectively reduces interference, enhancing performance in these critical applications.

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Area of Science:

  • Biomedical Engineering
  • Telecommunications
  • Nanotechnology

Background:

  • Molecular Communications (MC) systems face challenges like channel memory and inter-symbol interference (ISI).
  • Future applications in drug delivery and health monitoring demand highly reliable MC receivers.
  • Existing detectors may lack robustness against these channel impairments.

Purpose of the Study:

  • To develop an adaptive algorithm for MC receivers to mitigate channel memory and ISI.
  • To introduce a novel signal detection method based on the first passage time concept for concentration-based MC systems.
  • To evaluate the performance of the proposed detector and a complementary pre-coding technique.

Main Methods:

  • An adaptive weighted algorithm for signal detection in concentration-based MC systems.
  • A theoretical derivation of the bit error rate (BER) for performance evaluation.
  • Numerical simulations to validate theoretical results and compare with existing detectors.
  • A pre-coding technique to address sequences of consecutive ones in low ISI scenarios.

Main Results:

  • The proposed low-complexity detector significantly reduces the influence of channel memory and ISI.
  • Theoretical BER analysis and numerical results confirm the detector's superior performance in specific scenarios.
  • The pre-coding technique effectively combats consecutive ones, improving performance in low ISI conditions.
  • Performance comparisons highlight advantages over common low-complexity detectors across various parameters (distance, SNR, etc.).

Conclusions:

  • The novel adaptive algorithm offers a robust and low-complexity solution for MC receiver design.
  • The proposed detector and pre-coding technique enhance data reliability for future MC applications.
  • This work provides a valuable framework for advancing MC system performance in biomedical contexts.