• DocumentCode
    2133866
  • Title

    Effective resource allocation in 5G-satellite networks

  • Author

    Araniti, G. ; Condoluci, M. ; Orsino, A. ; Iera, A. ; Molinaro, A.

  • Author_Institution
    ARTS Lab., DIIES Dept., University Mediterranea of Reggio Calabria, Italy
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    844
  • Lastpage
    849
  • Abstract
    This paper addresses the radio resource management of multicast transmissions of video streaming services in the emerging 5G-Satellite systems. A subgroup-based approach is used to split any multicast group into subgroups. This allows an effective exploitation of multi-user diversity according to the experienced channel conditions and the achievement of a high throughput level. The main drawback is the high computational cost usually related to the selection of the optimal subgroup configuration. In this paper, we propose a low-complexity subgroup-based algorithm that achieves performance close to optimum. Our solution is suitable for implementation in practical systems, such as Satellite-Long Term Evolution (S-LTE), since the computational cost does not depend on the multicast group size and the number of available resources. Through simulations conducted in different radio propagation and multicast group environments, the effectiveness of our proposed scheme is assessed.
  • Keywords
    5G mobile communication; Complexity theory; Cost function; Merging; Resource management; Satellite broadcasting; Satellites; 5G; LTE; Multicast; OFDMA; RRM; Satellite;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248427
  • Filename
    7248427