| Full text | |
| Author(s): |
Fraga, Luciano de S.
;
Almeida, Gabriel Matheus
;
Correa, Sand
;
Both, Cristiano
;
Pinto, Leizer
;
Cardoso, Kleber
;
IEEE
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022); v. N/A, p. 6-pg., 2022-01-01. |
| Abstract | |
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) | |
| FAPESP's process: | 20/05127-2 - SAMURAI: smart 5G core and multiran integration |
| Grantee: | Aldebaro Barreto da Rocha Klautau Junior |
| Support Opportunities: | Research Projects - Thematic Grants |