Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marcio Jose Teixeira"'
Autor:
Andre Luis Ferreira Marques, Marcio Jose Teixeira, Felipe Valencia De Almeida, Pedro Luiz Pizzigatti Correa
Publikováno v:
IEEE Access, Vol 12, Pp 17915-17925 (2024)
Deep learning has grown among the prediction tools used within renewable energy options. Solar energy belongs to the options with the lowest atmosphere impact after considering their limitations. In the last five years, Brazil has seen the expansion
Externí odkaz:
https://doaj.org/article/41f27f4737594efe87b6953afbaa510b
Publikováno v:
Sn Computer Science
Using event-driven computer simulations, we test a predictive resource allocation scheme for broadband wireless communications systems based on the Kalman Filter. We implemented the filter in six different scheduling algorithms and selected the best
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29a63636fc81368d628365887b7a603c
http://europepmc.org/articles/PMC8475352
http://europepmc.org/articles/PMC8475352
Publikováno v:
IWCMC
In this work we propose an optimization of schedulers used for resource allocation in Long Term Evolution (LTE) networks by implementing a Kalman Filter (KF) to the average data rate instead of computing it with the simple expression from the schedul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b9f8626887a0e478655c822f7e42b0
https://doi.org/10.1109/iwcmc.2019.8766610
https://doi.org/10.1109/iwcmc.2019.8766610