Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings

Research Article

Flexible Capacity Allocation in Smart Gateway Diversity Satellite Systems Using Matching Theory

  • @INPROCEEDINGS{10.1007/978-3-319-76571-6_19,
        author={Anargyros Roumeliotis and Charilaos Kourogiorgas and Argyrios Kyrgiazos and Athanasios Panagopoulos},
        title={Flexible Capacity Allocation in Smart Gateway Diversity Satellite Systems Using Matching Theory},
        proceedings={Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings},
        proceedings_a={WISATS},
        year={2018},
        month={3},
        keywords={Smart gateway diversity Resource allocation Multi-beam satellite Matching theory Deferred acceptance algorithm},
        doi={10.1007/978-3-319-76571-6_19}
    }
    
  • Anargyros Roumeliotis
    Charilaos Kourogiorgas
    Argyrios Kyrgiazos
    Athanasios Panagopoulos
    Year: 2018
    Flexible Capacity Allocation in Smart Gateway Diversity Satellite Systems Using Matching Theory
    WISATS
    Springer
    DOI: 10.1007/978-3-319-76571-6_19
Anargyros Roumeliotis1,*, Charilaos Kourogiorgas1,*, Argyrios Kyrgiazos2,*, Athanasios Panagopoulos1,*
  • 1: National Technical University of Athens
  • 2: University of Surrey
*Contact email: aroumeliot@mail.ntua.gr, harkour@mail.ntua.gr, a.kyrgiazos@surrey.ac.uk, thpanag@ece.ntua.gr

Abstract

In this paper, we investigate the performance of multi-beam high throughput satellite systems that employ the smart gateway diversity concept. The multi-beam satellite system is examined under the satellite system’s capacity losses, the impact of the channels’ atmospheric effects, the offered capacities of gateways and finally the requested capacities of users’ beams. To ameliorate the system’s performance, a novel flexible resource allocation algorithm is proposed which is based on the matching theory concept. Gateways and users’ beams are matched according to the aforementioned factors applying the deferred acceptance algorithm. Simulation results illustrate that the proposed matching scheme outperforms a less sophisticated fixed, i.e. without resource management, allocation scheme in terms of system’s capacity losses, rendering the former a very promising allocation mechanism for future satellite systems.