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Frequency-Domain Model of Microfluidic Molecular Communication Channels with Graphene BioFET-based Receivers (2307.04229v1)

Published 9 Jul 2023 in cs.ET

Abstract: Molecular Communication (MC) is a bio-inspired communication paradigm utilizing molecules for information transfer. Research on this unconventional communication technique has recently started to transition from theoretical investigations to practical testbed implementations, primarily harnessing microfluidics and sensor technologies. Developing accurate models for input-output relationships on these platforms, which mirror real-world scenarios, is crucial for assessing modulation and detection techniques, devising optimized MC methods, and understanding the impact of physical parameters on performance. In this study, we consider a practical microfluidic MC system equipped with a graphene field effect transistor biosensor (bioFET)-based MC receiver as the model system, and develop an analytical end-to-end frequency-domain model. The model provides practical insights into the dispersion and distortion of received signals, thus potentially informing the design of new frequency-domain MC techniques, such as modulation and detection methods. The accuracy of the developed model is verified through particle-based spatial stochastic simulations of pulse transmission in microfluidic channels and ligand-receptor binding reactions on the receiver surface.

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References (31)
  1. O. B. Akan, H. Ramezani, T. Khan, N. A. Abbasi, and M. Kuscu, “Fundamentals of molecular information and communication science,” Proceedings of the IEEE, vol. 105, no. 2, pp. 306–318, 2016.
  2. I. F. Akyildiz, M. Pierobon, S. Balasubramaniam, and Y. Koucheryavy, “The internet of bio-nano things,” IEEE Communications Magazine, vol. 53, no. 3, pp. 32–40, 2015.
  3. I. F. Akyildiz, M. Ghovanloo, U. Guler, T. Ozkaya-Ahmadov, A. F. Sarioglu, and B. D. Unluturk, “Panacea: An internet of bio-nanothings application for early detection and mitigation of infectious diseases,” IEEE Access, vol. 8, pp. 140 512–140 523, 2020.
  4. M. Kuscu, E. Dinc, B. A. Bilgin, H. Ramezani, and O. B. Akan, “Transmitter and receiver architectures for molecular communications: A survey on physical design with modulation, coding, and detection techniques,” Proceedings of the IEEE, vol. 107, no. 7, pp. 1302–1341, 2019.
  5. V. Jamali, A. Ahmadzadeh, W. Wicke, A. Noel, and R. Schober, “Channel modeling for diffusive molecular communication—a tutorial review,” Proceedings of the IEEE, vol. 107, no. 7, pp. 1256–1301, 2019.
  6. M. K. Zadeh, I. M. Bolhassan, and M. Kuscu, “Microfluidic pulse shaping methods for molecular communications,” Nano Communication Networks, p. 100453, 2023.
  7. M. Civas, M. Kuscu, O. Cetinkaya, B. E. Ortlek, and O. B. Akan, “Graphene and related materials for the internet of bio-nano things,” in print, APL Materials, 2023. [Online]. Available: https://arxiv.org/abs/2304.03824
  8. M. Kuscu, H. Ramezani, E. Dinc, S. Akhavan, and O. B. Akan, “Fabrication and microfluidic analysis of graphene-based molecular communication receiver for internet of nano things (iont),” Scientific Reports, vol. 11, no. 1, pp. 1–20, 2021.
  9. M. Pierobon and I. F. Akyildiz, “A physical end-to-end model for molecular communication in nanonetworks,” IEEE Journal on Selected Areas in Communications, vol. 28, no. 4, pp. 602–611, 2010.
  10. Y. Huang, F. Ji, Z. Wei, M. Wen, X. Chen, Y. Tang, and W. Guo, “Frequency domain analysis and equalization for molecular communication,” IEEE Transactions on Signal Processing, vol. 69, pp. 1952–1967, 2021.
  11. S. Wang, W. Guo, and M. D. McDonnell, “Transmit pulse shaping for molecular communications,” in 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).   IEEE, 2014, pp. 209–210.
  12. M. Civas, A. Abdali, M. Kuscu, and O. B. Akan, “Frequency-domain detection for molecular communications,” Proceedings of IEEE International Confrence on Communication (ICC), 2023. [Online]. Available: https://arxiv.org/abs/2301.01049
  13. S. S. Andrews, “Smoldyn: particle-based simulation with rule-based modeling, improved molecular interaction and a library interface,” Bioinformatics, vol. 33, no. 5, pp. 710–717, 2017.
  14. M. Kuscu and O. B. Akan, “Modeling convection-diffusion-reaction systems for microfluidic molecular communications with surface-based receivers in internet of bio-nano things,” PloS One, vol. 13, no. 2, p. e0192202, 2018.
  15. A. O. Bicen and I. F. Akyildiz, “System-theoretic analysis and least-squares design of microfluidic channels for flow-induced molecular communication,” IEEE Transactions on Signal Processing, vol. 61, no. 20, pp. 5000–5013, 2013.
  16. M. Kuscu and O. B. Akan, “Channel sensing in molecular communications with single type of ligand receptors,” IEEE Transactions on Communications, vol. 67, no. 10, pp. 6868–6884, 2019.
  17. H. ShahMohammadian, G. G. Messier, and S. Magierowski, “Modelling the reception process in diffusion-based molecular communication channels,” in 2013 IEEE International Conference on Communications Workshops (ICC).   IEEE, 2013, pp. 782–786.
  18. R. Garcia-Cortadella, E. Masvidal-Codina, J. M. De la Cruz, N. Schäfer, G. Schwesig, C. Jeschke, J. Martinez-Aguilar, M. V. Sanchez-Vives, R. Villa, X. Illa, et al., “Distortion-free sensing of neural activity using graphene transistors,” Small, vol. 16, no. 16, p. 1906640, 2020.
  19. Z. Stojek, “The electrical double layer and its structure,” Electroanalytical methods: Guide to experiments and applications, pp. 3–9, 2010.
  20. M. Khademi and D. P. Barz, “Structure of the electrical double layer revisited: Electrode capacitance in aqueous solutions,” Langmuir, vol. 36, no. 16, pp. 4250–4260, 2020.
  21. J. Sun and Y. Liu, “Unique constant phase element behavior of the electrolyte–graphene interface,” Nanomaterials, vol. 9, no. 7, p. 923, 2019.
  22. E. Barsoukov and J. R. Macdonald, “Impedance spectroscopy theory, experiment, and,” Applications, 2nd ed.(Hoboken, NJ: John Wiley &Sons, Inc., 2005), 2005.
  23. C. Hsu and F. Mansfeld, “Concerning the conversion of the constant phase element parameter y0 into a capacitance,” Corrosion, vol. 57, no. 09, 2001.
  24. S. Xu, J. Zhan, B. Man, S. Jiang, W. Yue, S. Gao, C. Guo, H. Liu, Z. Li, J. Wang, et al., “Real-time reliable determination of binding kinetics of dna hybridization using a multi-channel graphene biosensor,” Nature Communications, vol. 8, no. 1, p. 14902, 2017.
  25. H. Xu, Z. Zhang, H. Xu, Z. Wang, S. Wang, and L.-M. Peng, “Top-gated graphene field-effect transistors with high normalized transconductance and designable dirac point voltage,” ACS Nano, vol. 5, no. 6, pp. 5031–5037, 2011.
  26. M. Kuscu and O. B. Akan, “Modeling and analysis of sinw fet-based molecular communication receiver,” IEEE Transactions on Communications, vol. 64, no. 9, pp. 3708–3721, 2016.
  27. N. K. Rajan, X. Duan, and M. A. Reed, “Performance limitations for nanowire/nanoribbon biosensors,” Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, vol. 5, no. 6, pp. 629–645, 2013.
  28. M. Kuscu and O. B. Akan, “On the physical design of molecular communication receiver based on nanoscale biosensors,” IEEE Sensors Journal, vol. 16, no. 8, pp. 2228–2243, 2016.
  29. M. Pierobon and I. F. Akyildiz, “Noise analysis in ligand-binding reception for molecular communication in nanonetworks,” IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4168–4182, 2011.
  30. J. Garrison, Z. Li, B. Palanisamy, L. Wang, and E. Seker, “An electrically-controlled programmable microfluidic concentration waveform generator,” Journal of biological engineering, vol. 12, no. 1, pp. 1–10, 2018.
  31. Y. Huang, F. Ji, M. Wen, Y. Tang, X. Chen, and W. Guo, “A frequency domain view on diffusion-based molecular communication channels,” in ICC 2021-IEEE International Conference on Communications.   IEEE, 2021, pp. 1–6.
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