dc.contributor.author | Zarei, Amir | |
dc.contributor.author | Pahlevani, Peyman | |
dc.contributor.author | E. Lucani, Daniel | |
dc.date.accessioned | 2020-04-29T08:56:51Z | |
dc.date.available | 2020-04-29T08:56:51Z | |
dc.date.created | 2020-04-27T10:30:41Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Communications Letters. 2020, 24 729-733. | en_US |
dc.identifier.issn | 1089-7798 | |
dc.identifier.uri | https://hdl.handle.net/11250/2652876 | |
dc.description.abstract | One of the by-products of Sparse Network Coding (SNC) is the ability to perform partial decoding, i.e., decoding some original packets prior to collecting all needed coded packets to decode the entire coded data. Due to this ability, SNC has been recently used as a technique for reducing the Average Decoding Delay (ADD) per packet in real-time multimedia applications. This study focuses on characterizing the ADD per packet for SNC considering the impact of finite field size. We present a Markov Chain model that allows us to determine lower bounds on the mean number of transmissions required to decode a fraction of a generation and the ADD per packet of the generation. We validate our model using simulations and show that the smaller finite fields, e.g., q=24 , outperform large finite fields, e.g., q=232 , in regard to the ADD per packet and provide a better trade-off between the ADD per packet and the overall number of transmissions to decode a generation. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | An Analytical Model for Sparse Network Codes: Field Size Considerations | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 729-733 | en_US |
dc.source.volume | 24 | en_US |
dc.source.journal | IEEE Communications Letters | en_US |
dc.identifier.doi | 10.1109/LCOMM.2020.2965928 | |
dc.identifier.cristin | 1808170 | |
dc.description.localcode | © 2020 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. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |