dc.contributor.author | Trinh, Dung Phuong | |
dc.contributor.author | Jeong, Youngmin | |
dc.contributor.author | Shin, Hyundong | |
dc.contributor.author | Win, Moe Z | |
dc.date.accessioned | 2021-10-27T20:36:11Z | |
dc.date.available | 2021-10-27T20:36:11Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/136601 | |
dc.description.abstract | © 1972-2012 IEEE. Molecular communication in nature can incorporate a large number of nano-things in nanonetworks as well as demonstrate how nano-things communicate. This paper presents molecular communication where transmit nanomachines deliver information molecules to a receive nanomachine over an anomalous diffusion channel. By considering a random molecule concentration in a space-time fractional diffusion channel, an analytical expression is derived for the first passage time (FPT) of the molecules. Then, the bit error rate of the ℓ th nearest molecular communication with timing binary modulation is derived in terms of Fox's H-function. In the presence of interfering molecules, the mean and variance of the number of the arrived interfering molecules in a given time interval are presented. Using these statistics, a simple mitigation scheme for timing modulation is provided. The results in this paper provide the network performance on the error probability by averaging over a set of random distances between the communicating links as well as a set of random FPTs caused by the anomalous diffusion of molecules. This result will help in designing and developing molecular communication systems for various design purposes. | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.isversionof | 10.1109/TCOMM.2019.2940575 | |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.source | arXiv | |
dc.title | Molecular Communication with Anomalous Diffusion in Stochastic Nanonetworks | |
dc.type | Article | |
dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | |
dc.relation.journal | IEEE Transactions on Communications | |
dc.eprint.version | Author's final manuscript | |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
eprint.status | http://purl.org/eprint/status/PeerReviewed | |
dc.date.updated | 2021-05-05T16:47:01Z | |
dspace.orderedauthors | Trinh, DP; Jeong, Y; Shin, H; Win, MZ | |
dspace.date.submission | 2021-05-05T16:47:02Z | |
mit.journal.volume | 67 | |
mit.journal.issue | 12 | |
mit.license | OPEN_ACCESS_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | |