Now showing items 1-4 of 4

    • Dynamic resource allocation in C-RAN with real-time traffic and realistic scenarios 

      Guerra Gómez, Rolando; Ruiz Boqué, Sílvia; García Lozano, Mario; Olmos Bonafé, Juan José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - publisher's policy
      This work proposes the use of a modified and improved version of the realistic Vienna Scenario that was defined in COST action IC1004, to test two different scale C-RAN deployments. First, a large-scale analysis with 628 ...
    • Machine learning adaptive computational capacity prediction for dynamic resource management in C-RAN 

      Guerra Gómez, Rolando; Ruiz Boqué, Sílvia; García Lozano, Mario; Olmos Bonafé, Juan José (2020-05-23)
      Article
      Open Access
      Efficient computational resource management in 5G Cloud Radio Access Network (C-RAN)environments is a challenging problem because it has to account simultaneously for throughput, latency,power efficiency, and optimization ...
    • Machine-learning based traffic forecasting for resource management in C-RAN 

      Guerra Gómez, Rolando; Ruiz Boqué, Sílvia; García Lozano, Mario; Olmos Bonafé, Juan José (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      The assumption of a fixed computational capacityat the Baseband Unit (BBU) pools in a Cloud Radio Access Network (C-RAN) deployment results in underutilized resourcesor unsatisfied users depending on ...
    • Resource management with adaptive capacity in C-RAN 

      Guerra Gómez, Rolando (Universitat Politècnica de Catalunya, 2020-02-26)
      Master thesis
      Open Access
      Efficient computational resource management in 5G Cloud Radio Access Network (CRAN) environments is a challenging problem because it has to account simultaneously for throughput, latency, power efficiency, and optimization ...