Forward Error Correction Convolutional Codes for RTAs’ Networks: An Overview

Simple item page
dc.contributor.authorMrutu, Salehe
dc.contributor.authorSam, Anael
dc.contributor.authorMvungi, Nerey H.
dc.date.accessioned2016-02-17T12:41:29Z
dc.date.available2016-02-17T12:41:29Z
dc.date.issued2014-07
dc.descriptionI.J. Computer Network and Information Security, 2014, 7, 19-27, Published Online June 2014 in MECS (http://www.mecs-press.org/), DOI: 10.5815/ijcnis.2014.07.03en_US
dc.description.abstractFor more than half a century, Forward Error Correction Convolutional Codes (FEC-CC) have been in use to provide reliable data communication over various communication networks. The recent high increase of mobile communication services that require both bandwidth intensive and interactive Real Time Applications (RTAs) impose an increased demand for fast and reliable wireless communication networks. Transmission burst errors; data decoding complexity and jitter are identified as key factors influencing the quality of service of RTAs implementation over wireless transmission media. This paper reviews FEC-CC as one of the most commonly used algorithm in Forward Error Correction for the purpose of improving its operational performance. Under this category, we have analyzed various previous works for their strengths and weaknesses in decoding FEC-CC. A comparison of various decoding algorithms is made based on their decoding computational complexity.en_US
dc.identifier.citationSalehe I. Mrutu, Anael Sam, Nerey H. Mvungi, I.J. Computer Network and Information Security, 2014, 7, 19-27en_US
dc.identifier.urihttp://hdl.handle.net/123456789/430
dc.language.isoenen_US
dc.publisherMECS (http://www.mecs-press.org/)en_US
dc.subjectFECen_US
dc.subjectConvolutional Codesen_US
dc.subjectReal Time Applicationsen_US
dc.subjectBurst errorsen_US
dc.subjectSequential Decodingen_US
dc.subjectViterbi Decodingen_US
dc.titleForward Error Correction Convolutional Codes for RTAs’ Networks: An Overviewen_US
dc.title.alternativeFECen_US
dc.title.alternativeConvolutional Codesen_US
dc.title.alternativeReal Time Applicationsen_US
dc.title.alternativeBurst errorsen_US
dc.title.alternativeSequential Decodingen_US
dc.title.alternativeViterbi Decodingen_US
dc.typeJournal Article, Peer Revieweden_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Document13.pdf
Size:
71.82 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Department of Computer Science and Engineering