Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tatiana Rykova"'
Autor:
Tatiana Rykova
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Marine industries, war fighters, and world leaders demand accurate maps of ocean properties to underpin tactical and strategic decisions. Oceanographers have approached this challenge by borrowing mapping techniques from weather forecasters.
Externí odkaz:
https://doaj.org/article/459abb9713914532b2b3170deb03ba6f
Publikováno v:
Earth and Space Science, Vol 9, Iss 7, Pp n/a-n/a (2022)
Abstract Since the Argo program began, 568 floats returned almost 31,000 profiles, at high‐southern latitudes, with no measured position. These data are either disseminated with positions linearly interpolated between known positions, or with no ge
Externí odkaz:
https://doaj.org/article/8f1443f335924e8899229011a9fc74ac
Autor:
Tatiana Rykova
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 29, Iss 3 (2021)
Due to a multistage nature of transmission processes in heterogeneous 4G, 5G mobile networks, multiphase queuing systems become one of the most suitable ways for the resource allocation algorithms analysis and network investigation. In this paper, a
Externí odkaz:
https://doaj.org/article/44169a40b5bf4567bac394f7d9ff10da
Publikováno v:
Mathematics, Vol 9, Iss 17, p 2104 (2021)
In order to fulfill the stringent Ultra-Reliable Low Latency Communication (URLLC) requirements towards Fifth Generation (5G) mobile networks, early-Hybrid Automatic Repeat reQuest (e-HARQ) schemes have been introduced, aimed at providing faster feed
Externí odkaz:
https://doaj.org/article/ee10d19d83724c68b2421bb59b070ecd
Autor:
Tatiana Rykova
Marine industries, war fighters, and world leaders demand accurate maps of ocean properties to underpin tactical and strategic decisions. Oceanographers have approached this challenge by borrowing mapping techniques from weather forecasters. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f54655e0e83ffb3c4f7d92e0d36e1bd1
https://doi.org/10.21203/rs.3.rs-2406796/v1
https://doi.org/10.21203/rs.3.rs-2406796/v1
Publikováno v:
2022 IEEE Latin-American Conference on Communications (LATINCOM).
Publikováno v:
Mathematics
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2104, p 2104 (2021)
Volume 9
Issue 17
Mathematics, Vol 9, Iss 2104, p 2104 (2021)
In order to fulfill the stringent Ultra-Reliable Low Latency Communication (URLLC) requirements towards Fifth Generation (5G) mobile networks, early-Hybrid Automatic Repeat reQuest (e-HARQ) schemes have been introduced, aimed at providing faster feed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::246718309873d8dda98b6064c8b0ff30
https://publica.fraunhofer.de/handle/publica/270237
https://publica.fraunhofer.de/handle/publica/270237
Publikováno v:
GLOBECOM
In this work, we investigate proactive Hybrid Automatic Repeat reQuest (HARQ) using link-level simulations for multiple packet sizes, modulation orders, BLock Error Rate (BLER) targets and two delay budgets of 1 ms and 2 ms, in the context of Industr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::834f7319eff3c126b8e560041a5abc25
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030657284
NEW2AN/ruSMART (2)
NEW2AN/ruSMART (2)
We propose analytical model that investigates early Hybrid Automatic Repeat reQuest (HARQ) prediction scheme as a path towards Ultra-Reliable Low Latency Communication (URLLC). By incorporating early-HARQ (e-HARQ) and HARQ functionalities in terms of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1c173bee61f87df37d982239dcec188
https://doi.org/10.1007/978-3-030-65729-1_20
https://doi.org/10.1007/978-3-030-65729-1_20
Publikováno v:
Ocean Modelling. 131:71-85
It is expected that the assimilation of data in an ocean model disrupts the model’s dynamical balance. This disruption occurs because the analysis fields are not a precise solution to the equations of the model. Therefore, the model adjusts to the