| Texto completo | |
| Autor(es): |
Fraga, Luciano de S.
;
Almeida, Gabriel Matheus
;
Correa, Sand
;
Both, Cristiano
;
Pinto, Leizer
;
Cardoso, Kleber
;
IEEE
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022); v. N/A, p. 6-pg., 2022-01-01. |
| Resumo | |
Openness, virtualization and disaggregation of functions represent the state-of-the-art (SOTA) for optimal management and orchestration of Radio Access Network (RAN) resources. However, in 5G and beyond networks, virtualized RAN (vRAN) functions may commonly share computing resources with Multi-access Edge Computing (MEC) services. This paper introduces a new problem formulation that jointly optimizes vRAN functions and MEC services respecting the maximum acceptable delay of the applications. We show that our model achieves better solutions than a SOTA approach and it is also more flexible. We also present a heuristic solution that is able to achieve near optimal results for real-world networks. (AU) | |
| Processo FAPESP: | 20/05127-2 - SAMURAI: núcleo 5G inteligente e integração de múltiplas redes de acesso |
| Beneficiário: | Aldebaro Barreto da Rocha Klautau Junior |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |