The Library
Linearity of sequential molecular signals in turbulent diffusion channels
Tools
Tools
Tools
Abbaszadeh, Mahmoud, Yilmaz, Birkan, Thomas, Peter and Guo, Weisi (2019) Linearity of sequential molecular signals in turbulent diffusion channels. In: IEEE International Conference on Communications (ICC), Shanghai, 21 May 2019
|
PDF
WRAP-linearity-sequential-molecular-signals-channels-Guo-2019.pdf - Accepted Version - Requires a PDF viewer. Download (545Kb) | Preview |
Abstract
Molecular communication underpins biological sys-tem coordination across multiple spatial and temporal scales. Whilst significant research has focused on micro-scale diffusion dominated channels, far less is understood of macro-scale flow dominated channels. The latter introduces complex fluid dynamic forces, one of which is turbulent diffusion. Molecular Communication via Turbulent Diffusion (MCvTD) more accurately reflects realistic molecular channels in both pheromone signaling and chemical engineering. Current literature assumes linear combining between sequential molecular signals, but this assumption may not hold when turbulence is introduced. Here, we use computational fluid dynamics (CFD) simulation to show that sequential MCvTD signals do indeed linearly combine. This is a non-trivial and non-intuitive result and our conclusion allows the research field to leverage on existing linear combining signal analysis. To ensure robustness of our results, we test for the received signal strength and Inter-Symbol-Interference (ISI) under different concentrations, co-flow rate, and the information sequence. Also, we introduce a basis for the channel model in a way that for any k sequential signals in which k ≥ 4, by understanding the 1 ≤ k ≤ 3signals and the last signal, we can represent the other signals. We expect these results to be useful to both molecular communication and biological signalling researchers
| Item Type: | Conference Item (Paper) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||
| Divisions: | Faculty of Science > Engineering | |||||||||
| Library of Congress Subject Headings (LCSH): | Molecular communication (Telecommunication), Fluid dynamics | |||||||||
| Publisher: | IEEE Computer Society | |||||||||
| Official Date: | 3 February 2019 | |||||||||
| Dates: |
|
|||||||||
| Date of first compliant deposit: | 8 April 2019 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Forthcoming | |||||||||
| Publisher Statement: | © 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: |
|
|||||||||
| Conference Paper Type: | Paper | |||||||||
| Title of Event: | IEEE International Conference on Communications (ICC) | |||||||||
| Type of Event: | Conference | |||||||||
| Location of Event: | Shanghai | |||||||||
| Date(s) of Event: | 21 May 2019 | |||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
