• DocumentCode
    2087211
  • Title

    Comparison among resource allocation methods with packet loss and power metrics in geostationary satellite scenarios

  • Author

    Bisio, Igor ; Delucchi, Stefano ; Lavagetto, Fabio ; Marchese, Mario

  • Author_Institution
    DITEN Dept., Univ. of Genoa, Genoa, Italy
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    4271
  • Lastpage
    4275
  • Abstract
    The paper deals with the classical problem of the resource allocation in geostationary satellite scenarios where fading may negatively impact the communications. In more detail, we consider the case in which different performance metrics, such as Packet Loss and Power, are simultaneously taken into account. Starting from the wide literature in the field, this work tries to categorize the available and well-known resource allocation approaches into three groups: i) the capacity maximization with constrained power group, ii) the power minimization with constrained capacity group and iii) the multi-objective programming group. For each group a general mathematical formulation has been proposed and the main differences among the groups have been highlighted. The performance of the three listed groups are compared through simulations where two Earth Stations, afflicted by different fading conditions, have been considered. The comparison takes into account all the mentioned metrics (i.e., loss and power) and the computational complexity of the allocation approaches.
  • Keywords
    artificial satellites; channel allocation; channel capacity; fading; minimisation; satellite communication; capacity maximization; computational complexity; constrained capacity group; constrained power group; earth station; fading condition; geostationary satellite; mathematical formulation; multiobjective programming; packet loss; performance metrics; power metrics; power minimization; resource allocation method; satellite communication; Bandwidth; Earth; Packet loss; Resource management; Satellites; Capacity Maximisation Allocation; Multi-Objective Programming; Performance Comparison; Power Minimisation Allocation; Satellite Communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655235
  • Filename
    6655235