The Library
Maximum likelihood detection for cooperative molecular communication
Tools
Tools
Tools
Fang, Yuting, Noel, Adam, Yang, Nan, Eckford, Andrew W. and Kennedy, Rodney A. (2018) Maximum likelihood detection for cooperative molecular communication. In: IEEE International Conference on Communications (ICC) 2018, Kansas City, MO, USA, 20-24 May 2018 doi:10.1109/ICC.2018.8422574
|
PDF
WRAP-Maximum-likelihood-detection-for-cooperative-Noel-2018.pdf - Accepted Version - Requires a PDF viewer. Download (602Kb) | Preview |
Official URL: https://doi.org/10.1109/ICC.2018.8422574
Abstract
In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, an fusion center (FC) chooses the transmitter’s symbol that is more likely, given the likelihood of the observations from multiple receivers (RXs). We propose three different ML detection variants according to different constraints on the information available to the FC, which enable us to demonstrate trade-offs in their performance versus the information available. The system error probability for one variant is derived in closed form. Numerical and simulation results show that the ML detection variants provide lower bounds on the error performance of the simpler cooperative variants and demonstrate that majority rule detection has performance comparable to ML detection when the reporting is noisy.
| 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), Nanonetworks | ||||||
| Publisher: | IEEE | ||||||
| Official Date: | 31 July 2018 | ||||||
| Dates: |
|
||||||
| DOI: | 10.1109/ICC.2018.8422574 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Publisher Statement: | © 2018 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 | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | IEEE International Conference on Communications (ICC) 2018 | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Kansas City, MO, USA | ||||||
| Date(s) of Event: | 20-24 May 2018 | ||||||
| Related URLs: | |||||||
| Open Access Version: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
