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An $M$-ary Concentration Shift Keying with Common Detection Thresholds For Multitransmitter Molecular Communication

Published 21 Oct 2023 in cs.IT, cs.ET, and math.IT | (2310.13991v2)

Abstract: Concentration shift keying (CSK) is a widely studied modulation technique for molecular communication-based nanonetworks, which is a key enabler for the Internet of Bio-NanoThings (IoBNT). Existing CSK methods, while offering optimal error performance, suffer from increased operational complexity that scales poorly as the number of transmitters, $K$, grows. In this study, a novel $M$-ary CSK method is proposed: CSK with common detection thresholds (CSK-CT). CSK-CT uses \textit{common} thresholds, set sufficiently low to guarantee the reliable detection of symbols from all transmitters, regardless of distance. Closed-form expressions are derived to obtain the common thresholds and release concentrations. To further enhance error performance, the release concentration is optimized using a scaling exponent that also optimizes the common thresholds. The performance of CSK-CT is evaluated against the benchmark CSK across various $K$ and $M$ values. CSK-CT has an error probability between $10{-7}$ and $10{-4}$, which is a substantial improvement from that of the benchmark CSK (from $10{-4}$ to $10{-3}$). In terms of complexity, CSK-CT is $\mathcal{O}\big(n\big)$ and does not scale with $K$ but $M$ ($M\ll K$), whereas the benchmark is $\mathcal{O}\big(n2\big)$. Furthermore, CSK-CT can mitigate inter-symbol interference (ISI), although this facet merits further investigation. Owing to its low error rates, improved scalability, reduced complexity, and potential ISI mitigation features, CSK-CT is particularly advantageous for IoBNT applications focused on data gathering. Its effectiveness is especially notable in scenarios where a computationally limited receiver is tasked with collecting vital health data from multiple transmitters.

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References (43)
  1. 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.
  2. Y. Li, L. Lin, W. Guo, D. Zhang, and K. Yang, “Error performance and mutual information for iont interface system,” IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9831–9842, 2022.
  3. I. F. Akyildiz, F. Brunetti, and C. Blázquez, “Nanonetworks: A New Communication Paradigm,” Elsevier Computer Networks, vol. 52, no. 12, pp. 2260–2279, Aug. 2008.
  4. L. Felicetti, M. Femminella, G. Reali, and P. Liò, “Applications of Molecular Communications to Medicine: A Survey,” Nano Communication Networks, vol. 7, pp. 27–45, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1878778915000411
  5. M. Akkaş, R. Sokullu, and H. Ertürk Çetin, “Healthcare and Patient Monitoring using IoT,” Elsevier Internet of Things, vol. 11, p. 100173, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2542660520300147
  6. E. Shitiri and H.-S. Cho, “Timing Alignment in Molecular-Communication-Based Nanonetworks,” IEEE Communications Magazine, vol. 59, no. 5, pp. 54–60, 2021.
  7. M. M. Al-Zubi, A. S. Mohan, P. Plapper, and S. H. Ling, “Intrabody Molecular Communication via Blood-Tissue Barrier for Internet of Bio-Nano Things,” IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21 802–21 810, 2022.
  8. Y. Moritani, S. Hiyama, T. Suda, R. Egashira, A. Enomoto, M. Moore, and T. Nakano, “Molecular Communications between Nanomachines,” in 24th IEEE Conference on Computer Communications (IEEE INFOCOM 2005), March 2005.
  9. U. A. K. Chude-Okonkwo, R. Malekian, B. T. Maharaj, and A. V. Vasilakos, “Molecular Communication and Nanonetwork for Targeted Drug Delivery: A Survey,” IEEE Communications Surveys and Tutorials, vol. 19, no. 4, pp. 3046–3096, 2017.
  10. W. Guo, M. Abbaszadeh, L. Lin, J. Charmet, P. Thomas, Z. Wei, B. Li, and C. Zhao, “Molecular Physical Layer for 6G in Wave-Denied Environments,” IEEE Communications Magazine, vol. 59, no. 5, pp. 33–39, 2021.
  11. M. Veletić, E. H. Apu, M. Simić, J. Bergsland, I. Balasingham, C. H. Contag, and N. Ashammakhi, “Implants with sensing capabilities,” Chemical Reviews, vol. 122, no. 21, pp. 16 329–16 363, 2022, pMID: 35981266.
  12. R. Mosayebi, A. Ahmadzadeh, W. Wicke, V. Jamali, R. Schober, and M. Nasiri-Kenari, “Early cancer detection in blood vessels using mobile nanosensors,” IEEE Transactions on NanoBioscience, vol. 18, no. 2, pp. 103–116, 2019.
  13. 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.
  14. M. U. Mahfuz, D. Makrakis, and H. T. Mouftah, “On The Characterization of Binary Concentration-Encoded Molecular Communication in Nanonetworks,” Elesevier Nano Communication Networks, vol. 1, no. 4, pp. 289–300, 2010. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1878778911000020
  15. ——, “A Comprehensive Study of Sampling-Based Optimum Signal Detection in Concentration-Encoded Molecular Communication,” IEEE Transactions on NanoBioscience, vol. 13, no. 3, pp. 208–222, 2014.
  16. A. Singhal, R. K. Mallik, and B. Lall, “Performance Analysis of Amplitude Modulation Schemes for Diffusion-Based Molecular Communication,” IEEE Transactions on Wireless Communications, vol. 14, no. 10, pp. 5681–5691, 2015.
  17. V. Jamali, N. Farsad, R. Schober, and A. Goldsmith, “Non-Coherent Detection for Diffusive Molecular Communication Systems,” IEEE Transactions on Communications, vol. 66, no. 6, pp. 2515–2531, 2018.
  18. C. Wang, X. Chen, Y. Tang, B. Li, Y. Huang, D. Tang, and M. Wen, “An Effective Constellation Design for Concentration Shift Keying in Molecular Communication Systems,” IEEE Internet of Things Journal, pp. 1–1, 2023.
  19. N.-R. Kim and C.-B. Chae, “Novel Modulation Techniques Using Isomers as Messenger Molecules for Molecular Communication Via Diffusion,” in 2012 IEEE International Conference on Communications (ICC), 2012, pp. 6146–6150.
  20. M. H. Kabir, S. M. Riazul Islam, and K. S. Kwak, “D-MoSK Modulation in Molecular Communications,” IEEE Transactions on NanoBioscience, vol. 14, no. 6, pp. 680–683, 2015.
  21. J. Wang, X. Liu, M. Peng, and M. Daneshmand, “Performance Analysis of D-MoSK Modulation in Mobile Diffusive-Drift Molecular Communications,” IEEE Internet of Things Journal, vol. 7, no. 11, pp. 11 318–11 326, 2020.
  22. Y. Tang, Y. Huang, C.-B. Chae, W. Duan, M. Wen, and L.-L. Yang, “Molecular-type permutation shift keying in molecular mimo communications for iobnt,” IEEE Internet of Things Journal, vol. 8, no. 21, pp. 16 023–16 034, 2021.
  23. K. V. Srinivas, A. W. Eckford, and R. S. Adve, “Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel,” IEEE Transactions on Information Theory, vol. 58, no. 7, pp. 4678–4692, 2012.
  24. S. Aeeneh, N. Zlatanov, A. Gohari, M. Nasiri-Kenari, and M. Mirmohseni, “Timing Modulation for Macro-Scale Molecular Communication,” IEEE Wireless Communications Letters, vol. 9, no. 9, pp. 1356–1360, 2020.
  25. Q. Li, “A Novel Time-Based Modulation Scheme in Time-Asynchronous Channels for Molecular Communications,” IEEE Transactions on NanoBioscience, vol. 19, no. 1, pp. 59–67, 2020.
  26. K. Aghababaiyan, V. Shah-Mansouri, and B. Maham, “Direction Shift Keying Modulation for Molecular Communication,” in IEEE International Conference on Communications (ICC), 2020, pp. 1–6.
  27. K. Aghababaiyan, H. Kebriaei, V. Shah-Mansouri, B. Maham, and D. Niyato, “Enhanced Modulation for Multiuser Molecular Communication in Internet of Nano Things,” IEEE Internet of Things Journal, vol. 9, no. 20, pp. 19 787–19 802, 2022.
  28. L. Brand, M. Scherer, S. Lotter, T. t. Dieck, M. Schaufer, A. Burkovski, H. Sticht, K. Castiglione, and R. Schober, “Switchable Signaling Molecules for Media Modulation: Fundamentals, Applications, and Research Directions,” IEEE Communications Magazine, pp. 1–7, 2023.
  29. T. Song, A. Eshra, S. Shah, H. Bui, D. Fu, M. Yang, R. Mokhtar, and J. Reif, “Fast and compact dna logic circuits based on single-stranded gates using strand-displacing polymerase,” Nature Nanotechnology, Nov 2019.
  30. F. Wang, H. Lv, Q. Li, J. Li, X. Zhang, J. Shi, L. Wang, and C. Fan, “Implementing digital computing with dna-based switching circuits,” Nature Communications, vol. 11, no. 1, p. 121, Jan 2020. [Online]. Available: https://doi.org/10.1038/s41467-019-13980-y
  31. Q. Liu, K. Yang, J. Xie, and Y. Sun, “Dna-based molecular computing, storage, and communications,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 897–915, 2022.
  32. 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.
  33. M. Ş. Kuran, H. B. Yilmaz, I. Demirkol, N. Farsad, and A. Goldsmith, “A Survey on Modulation Techniques in Molecular Communication via Diffusion,” IEEE Communications Surveys & Tutorials, vol. 23, no. 1, pp. 7–28, 2021.
  34. M. U. Mahfuz, D. Makrakis, and H. T. Mouftah, “Characterization of intersymbol interference in concentration-encoded unicast molecular communication,” in 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE), 2011, pp. 000 164–000 168.
  35. L. Lin, C. Yang, M. Ma, S. Ma, and H. Yan, “A clock synchronization method for molecular nanomachines in bionanosensor networks,” IEEE Sensors Journal, vol. 16, no. 19, pp. 7194–7203, 2016.
  36. E. Shitiri and H.-S. Cho, “A TDMA-Based Data Gathering Protocol for Molecular Communication via Diffusion-Based Nano-Sensor Networks,” IEEE Sensors Journal, vol. 21, no. 17, pp. 19 582–19 595, 2021.
  37. H. B. Yilmaz, A. C. Heren, T. Tugcu, and C. Chae, “Three-Dimensional Channel Characteristics for Molecular Communications With an Absorbing Receiver,” IEEE Communications Letters, vol. 18, no. 6, pp. 929–932, June 2014.
  38. 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.
  39. M. Şükrü Kuran, H. B. Yilmaz, T. Tugcu, and B. Özerman, “Energy Model for Communication via Diffusion in Nanonetworks,” Elsevier Nano Communication Networks, vol. 1, no. 2, pp. 86–95, 2010. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1878778910000219
  40. H. ShahMohammadian, G. G. Messier, and S. Magierowski, “Blind Synchronization in Diffusion-Based Molecular Communication Channels,” IEEE Communications Letters, vol. 17, no. 11, pp. 2156–2159, 2013.
  41. Y. Wang, A. Noel, and N. Yang, “A Novel A⁢P⁢r⁢i⁢o⁢r⁢i𝐴𝑃𝑟𝑖𝑜𝑟𝑖A~{}Prioriitalic_A italic_P italic_r italic_i italic_o italic_r italic_i Simulation Algorithm for Absorbing Receivers in Diffusion-Based Molecular Communication Systems,” IEEE Transactions on NanoBioscience, vol. 18, no. 3, pp. 437–447, 2019.
  42. L.-S. Meng, P.-C. Yeh, K.-C. Chen, and I. F. Akyildiz, “On Receiver Design for Diffusion-Based Molecular Communication,” IEEE Transactions on Signal Processing, vol. 62, no. 22, pp. 6032–6044, 2014.
  43. Y. Okaie and T. Nakano, “Mobile molecular communication through multiple measurements of the concentration of molecules,” IEEE Access, vol. 8, pp. 179 606–179 615, 2020.
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