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dc.contributor.authorTrinh, Dung Phuong
dc.contributor.authorJeong, Youngmin
dc.contributor.authorShin, Hyundong
dc.contributor.authorWin, Moe Z
dc.date.accessioned2021-10-27T19:58:17Z
dc.date.available2021-10-27T19:58:17Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134135
dc.description.abstract© 1972-2012 IEEE. The random propagation of molecules in a fluid medium is characterized by the spontaneous diffusion law as well as the interaction between the environment and molecules. In this paper, we embody the anomalous diffusion theory for modeling and analysis in molecular communication. We employ H -diffusion to model a non-Fickian behavior of molecules in diffusive channels. H -diffusion enables us to model anomalous diffusion as the subordinate relationship between self-similar parent and directing processes and their corresponding probability density functions with two H -variates in a unified fashion. In addition, we introduce standard H -diffusion to make a bridge of normal diffusion across well-known anomalous diffusions such as space-time fractional diffusion, Erdélyi-Kober fractional diffusion, grey Brownian motion, fractional Brownian motion, and Brownian motion. We then characterize the statistical properties of uncertainty of the random propagation time of a molecule governed by H -diffusion laws by introducing a general class of molecular noise - called H -noise. Since H -noise can be an algebraic-tailed distribution, we provide a concept of H -noise power using finite logarithm moments based on zero-order statistics. Finally, we develop a unifying framework for error probability analysis in a timing-based molecular communication system with a concept of signal-to-noise power ratio.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.isversionof10.1109/TCOMM.2020.2982149
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcearXiv
dc.titleMolecular Communication in H-Diffusion
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.relation.journalIEEE Transactions on Communications
dc.eprint.versionOriginal manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/NonPeerReviewed
dc.date.updated2021-05-05T17:04:40Z
dspace.orderedauthorsTrinh, DP; Jeong, Y; Shin, H; Win, MZ
dspace.date.submission2021-05-05T17:04:41Z
mit.journal.volume68
mit.journal.issue7
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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