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Channel modeling for diffusive molecular communication - a tutorial review
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Jamali, Vahid, Ahmadzadeh, Arman, Wicke, Wayan, Noel, Adam and Schober, Robert (2019) Channel modeling for diffusive molecular communication - a tutorial review. Proceedings of the IEEE, 107 (7). pp. 1256-1301. doi:10.1109/JPROC.2019.2919455
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WRAP-channel-modeling-diffusive-molecular-communication-Noel-2019.pdf - Accepted Version - Requires a PDF viewer. Download (11Mb) | Preview |
Official URL: https://ieeexplore.ieee.org/document/8742793
Abstract
Molecular communication (MC) is a new communication engineering paradigm where molecules are employed as information carriers. MC systems are expected to enable new revolutionary applications such as sensing of target substances in biotechnology, smart drug delivery in medicine, and monitoring of oil pipelines or chemical reactors in industrial settings. As for any other kind of communication, simple yet sufficiently accurate channel models are needed for the design, analysis, and efficient operation of MC systems. In this paper, we provide a tutorial review on mathematical channel modeling for diffusive MC systems. The considered end-to-end MC channel models incorporate the effects of the release mechanism, the MC environment, and the reception mechanism on the observed information molecules. Thereby, the various existing models for the different components of an MC system are presented under a common framework and the underlying biological, chemical, and physical phenomena are discussed. Deterministic models characterizing the expected number of molecules observed at the receiver and statistical models characterizing the actual number of observed molecules are developed. In addition, we provide channel models for timevarying MC systems with moving transmitters and receivers, which are relevant for advanced applications such as smart drug delivery with mobile nanomachines. For complex scenarios, where simple MC channel models cannot be obtained from first principles, we investigate simulation-driven and experiment-driven channel models. Finally, we provide a detailed discussion of potential challenges, open research problems, and future directions in channel modeling for diffusive MC systems.
| Item Type: | Journal Article | ||||||||||||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication), Communication in engineering, Nanonetworks | ||||||||||||||||||
| Journal or Publication Title: | Proceedings of the IEEE | ||||||||||||||||||
| Publisher: | IEEE | ||||||||||||||||||
| ISSN: | 0018-9219 | ||||||||||||||||||
| Official Date: | July 2019 | ||||||||||||||||||
| Dates: |
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| Volume: | 107 | ||||||||||||||||||
| Number: | 7 | ||||||||||||||||||
| Page Range: | pp. 1256-1301 | ||||||||||||||||||
| DOI: | 10.1109/JPROC.2019.2919455 | ||||||||||||||||||
| Status: | Peer Reviewed | ||||||||||||||||||
| Publication Status: | Published | ||||||||||||||||||
| Reuse Statement (publisher, data, author rights): | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||||||||||||
| RIOXX Funder/Project Grant: |
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| Open Access Version: |
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