Use este identificador para citar ou linkar para este item:
http://repositorio.ufc.br/handle/riufc/70545
Tipo: | Artigo de Periódico |
Título: | Unified scheduling framework for dual connectivity in multi-RAT NSA 5G networks |
Autor(es): | Antonioli, Roberto Pinto Sousa, Diego Aguiar Rodrigues, Emanuel Bezerra Guerreiro, Igor Moáco Silva, Carlos Filipe Moreira e Maciel, Tarcísio Ferreira Cavalcanti, Francisco Rodrigo Porto |
Palavras-chave: | Non-stand-alone 5G;Dual connectivity;Resourcemanagement,;flow control algorithm;UD-BS association |
Data do documento: | 2020 |
Instituição/Editor/Publicador: | Journal of Communication and Information Systems |
Citação: | CAVALCANTI, F. R. P. et al. Unified scheduling framework for dual connectivity in multi-RAT NSA 5G networks. Journal of Communication and Information Systems, [s.l.], v. 35, n. 1, p. 203–207, 2020. DOI: https://doi.org/10.14209/jcis.2020.22 |
Abstract: | Supporting the dual connectivity technology in non-stand-alone 5G scenarios involves three main functionalities: a user device (UD)-base station (BS) association (UBA) mechanism, a flow control algorithm (FCA) to determine the data split transmitted by each BS and radio resource management (RRM) algorithms. However, previous works only focused on the design of at most two of these functionalities. In this letter, we go beyond and design a unified scheduling framework including the three aforementioned functionalities. The proposed framework targets the user satisfaction maximization and runs in a completely decentralized fashion, where the UBA algorithm runs independently at each UD, the FCA is executed at the master LTE BS and the RRM is performed individually by each BS. Simulations show the incremental gains of each proposed functionality as well as the total gain of the unified framework. |
URI: | http://www.repositorio.ufc.br/handle/riufc/70545 |
ISSN: | 1980-6604 |
Aparece nas coleções: | DETE - Artigos publicados em revista científica |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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2020_art_frpcavalcanti.pdf | 195,38 kB | Adobe PDF | Visualizar/Abrir |
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