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http://hdl.handle.net/10773/36224
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DC Field | Value | Language |
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dc.contributor.author | Napp, Diego | pt_PT |
dc.contributor.author | Pinto, Raquel | pt_PT |
dc.contributor.author | Vela, Carlos | pt_PT |
dc.date.accessioned | 2023-02-03T19:31:09Z | - |
dc.date.available | 2023-02-03T19:31:09Z | - |
dc.date.issued | 2022-09-16 | - |
dc.identifier.uri | http://hdl.handle.net/10773/36224 | - |
dc.description.abstract | In the recent history of the theory of network coding the multi-shot network coding has been prove as a good alternative for the classical one-shot network theory which is managed by using block codes. To perform communications in this multi-shot context we have, among others, rank-metric convolutional codes and concatenated codes (using a convolutional code as an outer code and a rank-metric code as inner code). In this work we analyse their performance over the rank deficiency channel (described by Gilbert-Elliot channel model) in terms of the correction capabilities and the complexity of the two decoding schemes. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04106%2F2020/PT | pt_PT |
dc.relation | PID2019-108668GB-I00 | pt_PT |
dc.rights | openAccess | pt_PT |
dc.subject | Concatenated codes | pt_PT |
dc.subject | Rank-metric codes | pt_PT |
dc.subject | Convolutional codes | pt_PT |
dc.subject | Rank-deficiency channel | pt_PT |
dc.subject | Complexity | pt_PT |
dc.title | On rank metric convolutional codes and concatenated codes | pt_PT |
dc.type | conferenceObject | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
ua.event.date | 12-16 Setembro, 2022 | pt_PT |
degois.publication.firstPage | 221 | pt_PT |
degois.publication.lastPage | 224 | pt_PT |
degois.publication.title | 25th International Symposium on Mathematical Theory of Networks and Systems | pt_PT |
dc.relation.publisherversion | https://epub.uni-bayreuth.de/id/eprint/6809/1/MTNS2022_ExtendedAbstracts_2022-12-22.pdf | pt_PT |
Appears in Collections: | DMat - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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Proceedings_MTNS22.pdf | 291.7 kB | Adobe PDF | View/Open |
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