article

Channel capacity analysis of a diffusion-based molecular communication system with ligand receptors

Authors:

Kun YangAuthors Info & Claims

International Journal of Communication Systems, Volume 28, Issue 8

Pages 1508 - 1520

https://doi.org/10.1002/dac.2730

Published: 25 May 2015 Publication History

Abstract

Diffusion-based communication is one of the most dominating forms in the micrometer and nanoscale communications. Generally, information is coded in molecules that are released by a transmitter nanomachine, propagated via a diffusion-based channel, and then received by a receiving nanomachine called receiver. The receiver considered in this paper is equipped with multiple ligand receptors. The molecular communication system in this paper is single hop and SISO. Namely, there is only a channel connecting a pair of transmitter and receiver. While most literature considers either the channel or the receptors, this paper proposes a channel model that takes into account both the diffusion-based channel and the ligand-based receiver. The channel capacity under such model is analyzed, which studies the impact of different parameters at both channel and the receiver on the performance of the molecular communication system. We establish a digital channel model based on the on-off keying and time slot scheme. A capacity expression is derived with consideration of the effects of the channel memory and ligand-receptor binding mechanisms. The numerical results show that the overall channel capacity is restricted by the physical parameters of diffusion channel and ligand receptors. Copyright © 2014 John Wiley & Sons, Ltd.

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Cited By

Jani A(2023)Bio-inspired Nano Communication SystemProceedings of the 2023 6th International Conference on Information Science and Systems10.1145/3625156.3625179(154-159)Online publication date: 11-Aug-2023
https://dl.acm.org/doi/10.1145/3625156.3625179
Ratti FHarper CMagarini MPierobon M(2021)Optimizing Information Transfer Through Chemical Channels in Molecular Communication2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685247(1-6)Online publication date: 7-Dec-2021
https://dl.acm.org/doi/10.1109/GLOBECOM46510.2021.9685247
Ratti FScalia GPernici BMagarini M(2020)A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular ChannelGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9322078(1-7)Online publication date: 7-Dec-2020
https://dl.acm.org/doi/10.1109/GLOBECOM42002.2020.9322078
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cover image International Journal of Communication Systems

International Journal of Communication Systems Volume 28, Issue 8

May 2015

120 pages

ISSN:1074-5351

EISSN:1099-1131

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John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 25 May 2015

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Cited By

Jani A(2023)Bio-inspired Nano Communication SystemProceedings of the 2023 6th International Conference on Information Science and Systems10.1145/3625156.3625179(154-159)Online publication date: 11-Aug-2023
https://dl.acm.org/doi/10.1145/3625156.3625179
Ratti FHarper CMagarini MPierobon M(2021)Optimizing Information Transfer Through Chemical Channels in Molecular Communication2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685247(1-6)Online publication date: 7-Dec-2021
https://dl.acm.org/doi/10.1109/GLOBECOM46510.2021.9685247
Ratti FScalia GPernici BMagarini M(2020)A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular ChannelGLOBECOM 2020 - 2020 IEEE Global Communications Conference10.1109/GLOBECOM42002.2020.9322078(1-7)Online publication date: 7-Dec-2020
https://dl.acm.org/doi/10.1109/GLOBECOM42002.2020.9322078
He PMao YLiu QYang K(2018)Improving reliability performance of diffusion-based molecular communication with adaptive threshold variation algorithmInternational Journal of Communication Systems10.1002/dac.319729:18(2669-2680)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1002/dac.3197
Md Mustam SSyed Yusof SZubair S(2016)Capacity of Multilayer Diffusion-based Molecular Communication (DBMC) ChannelProceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)10.4108/eai.3-12-2015.2262502(93-99)Online publication date: 24-May-2016
https://dl.acm.org/doi/10.4108/eai.3-12-2015.2262502

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