Zhai, H and Liu, Q and Vasilakos, AV and Yang, K (2018) Anti-ISI Demodulation Scheme and Its Experiment-based Evaluation for Diffusion-based Molecular Communication. IEEE Transactions on NanoBioscience, 17 (2). pp. 126-133. DOI https://doi.org/10.1109/TNB.2018.2797689
Zhai, H and Liu, Q and Vasilakos, AV and Yang, K (2018) Anti-ISI Demodulation Scheme and Its Experiment-based Evaluation for Diffusion-based Molecular Communication. IEEE Transactions on NanoBioscience, 17 (2). pp. 126-133. DOI https://doi.org/10.1109/TNB.2018.2797689
Zhai, H and Liu, Q and Vasilakos, AV and Yang, K (2018) Anti-ISI Demodulation Scheme and Its Experiment-based Evaluation for Diffusion-based Molecular Communication. IEEE Transactions on NanoBioscience, 17 (2). pp. 126-133. DOI https://doi.org/10.1109/TNB.2018.2797689
Abstract
In diffusion-based molecular communication (MC), the most common modulation technique is based on the concentration of information molecules. However, the random delay of molecules due to the channel with memory causes severe inter-symbol interference (ISI) among consecutive signals. In this paper, we propose a detection technique for demodulating signals, the increase detection algorithm (IDA), to improve the reliability of concentration-encoded diffusion-based molecular communication. The proposed IDA detects an increase (i.e., a relative concentration value) in molecule concentration to extract the information instead of detecting an absolute concentration value. To validate the availability of IDA, we establish a real physical tabletop testbed. And we evaluate the proposed demodulation technique using bit error rate (BER) and demonstrate by the tabletop molecular communication platform that the proposed IDA successfully minimizes and even isolates ISI so that a lower BER is achieved than the common demodulation technique.
Item Type: | Article |
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Uncontrolled Keywords: | Molecular communication; concentration-based encoding; diffusion channel; increase detection algorithm; demodulation technique |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QR Microbiology |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 03 May 2018 12:59 |
Last Modified: | 30 Oct 2024 16:02 |
URI: | http://repository.essex.ac.uk/id/eprint/21379 |
Available files
Filename: 08268549.pdf