Abstract
In this paper, we propose a molecular multiple-input multiple-out (MIMO) communication platform using binary time shift keying (BTSK) modulation to model in-vessel network systems. A notable prior work introduced a vessel-like communication testbed, yet leaving a challenge to achieve a higher data rate. We suggest an improved version of testbed adding MIMO configurations with modulation techniques. The flow-assist channel model for MIMO systems has been limitedly investigated yet, the feasibility of MIMO systems with timing-based modulation is shown in this paper. The platform uses acid and base molecules as information carriers, and the received output is a set of pH values varying over time. The MIMO platform yields a higher data rate than the single-input single-output (SISO) systems. Furthermore, the system is flexible to any desired configurations, which can illustrate actual blood vessel environments.
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF-2020R1A2C4001941) and the ICT Consilience Creative Program (IITP-2019-2017-0–01015). The authors would like to thank Prof. A. Goldsmith and Prof. N. Farsad for their pioneering work [10].
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References
Nakano, T., et al.: Molecular communication for nanomachines using intercellular calcium signaling. In: Proceedings of IEEE Conference on Nanotechnology (2005)
Akyildiz, I.F., Brunetti, F., Blzquez, C.: Nanonetworks: a new communication paradigm. Comput. Netw. 52(12), 2260–2279 (2008)
Farsad, N., et al.: Tabletop molecular communication: text messages through chemical signals. PLoS ONE 8(12), e82935 (2013)
Koo, B., Lee, C., Yilmaz, H.B., Farsad, N., Eckford, A., Chae, C.-B.: Molecular MIMO: from theory to prototype. IEEE J. Sel. Areas Commun. 34(3), 600–614 (2016)
Kim, N.-R., Farsad, N., Lee, C., Eckford, A.W., Chae, C.-B.: An experimentally validated channel model for molecular communication systems. IEEE Access 7, 81849–81858 (2019)
Farsad, N., Murin, Y., Guo, W., Chae, C.-B., Eckford, A.W., Goldsmith, A.: Communication system design and analysis for asynchronous molecular timing channels. IEEE Trans. Mol. Biol. Multi-Scale Commun. 3(4), 239–253 (2017)
Farsad, N., Yilmaz, H.B., Eckford, A., Chae, C.-B., Guo, W.: A comprehensive survey of recent advancements in molecular communication. IEEE Commun. Surv. Tutor. 18(3), 1887–1919 (2016)
Zoofaghari, M., Arjmandi, H.: Diffusive molecular communication in biological cylindrical environment. IEEE Trans. Nanobiosci. 18(1), 74–83 (2018)
Haselmayr, W., Efrosinin, D., Guo, W.: Normal inverse Gaussian approximation for arrival time difference in flow-induced molecular communications. IEEE Trans. Mol. Biol. Multi-Scale Commun. 3, 259–264 (2018)
Farsad, N., Pan, D., Goldsmith, A.: A novel experimental platform for in-vessel multi-chemical molecular communications. In: Proceeding of IEEE Global Communications Conference (GLOBECOM) (2017)
Lee, C., Koo, B.-H., Chae, C.-B.: Demo: in-vessel molecular MIMO communications. In: Proceeding of IEEE Wireless Communications and Networking Conference (WCNC) (2020)
Lee, C., Yilmaz, H.B., Chae, C.-B., Farsad, N., Goldsmith, A.: Machine learning based channel modeling for molecular MIMO communications. In: Proceeding of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (2017)
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lee, C., Koo, BH., Chae, CB. (2020). Molecular MIMO Communications Platform with BTSK for In-Vessel Network Systems. In: Chen, Y., Nakano, T., Lin, L., Mahfuz, M., Guo, W. (eds) Bio-inspired Information and Communication Technologies. BICT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-030-57115-3_25
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DOI: https://doi.org/10.1007/978-3-030-57115-3_25
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