dMole: A Novel Transreceiver for Mobile Molecular Communication Using Robust Differential Detection Techniques.

Area of Science:

• Biomedical Engineering
• Molecular Communications
• Nanotechnology

Background:

• Mobile molecular communication (MMC) is crucial for targeted drug delivery (TDD).
• Nano-scale transmitters and receivers in Brownian motion communicate via molecules in extracellular fluid.
• Accurate signal detection is vital for reliable communication.

Purpose of the Study:

• To propose and evaluate two novel differential detection techniques for MMC in TDD applications.
• To enhance bit error rate (BER) performance compared to existing methods.
• To analyze the impact of parameters like bit sequence length, initial distance, and bit duration.

Main Methods:

• Concentration Difference based Detector (CDD): Detects bits based on maximum absolute concentration difference within a bit interval.
• Manchester Coded transmission with Differential Detection (MCD): Uses [1 0] for bit-1 and [0 1] for bit-0, detecting bits by the difference between signal peaks in consecutive intervals.
• Detection threshold optimized using the Maximum a posteriori probability (MAP) rule.

Main Results:

• CDD and MCD techniques significantly improve BER performance, by at least 3 dB and 6 dB respectively, compared to existing methods.
• MCD demonstrates 3 dB better tolerance to inter-symbol interference (ISI) than CDD.
• Both proposed techniques show superior performance across various bit-sequence lengths, initial distances, and bit durations.

Conclusions:

• The proposed CDD and MCD techniques offer substantial improvements in signal detection for MMC-based TDD.
• These methods provide enhanced reliability and robustness in challenging communication environments.
• The findings pave the way for more effective molecular communication systems in biomedical applications.