• DocumentCode
    616152
  • Title

    Graph theory based channel reallocation technique in channel borrowing in mobile satellite communication

  • Author

    Lingzhi Guo ; Qimei Cui ; Yinjun Liu ; Xiangling Li ; Ting Fu ; Zhuo Chen

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    2172
  • Lastpage
    2177
  • Abstract
    In mobile satellite service (MSS) system, channel using efficiency is still an important factor because the system´s frequency reuse factor can´t reach 1 exactly. Here we try to introduce channel borrowing technique into MSS system. In channel borrowing technique, if channels in adjacent cells are allocated, these channels can´t be borrowed. Therefore, in high spectrum reuse scenario, this may result in insufficient borrowable channels because only when none of the adjacent cells is using this channel can this channel be borrowed. In this paper, we propose a channel reallocation scheme based on matching theory in graph theory to solve this problem by lowering the interference level. Further, we put forward a simplified channel reallocation scheme to reduce the computational complexity. As the simulation results show, our schemes can efficiently improve the system´s performance.
  • Keywords
    channel allocation; computational complexity; frequency allocation; graph theory; mobile satellite communication; channel borrowing; channel reallocation; computational complexity; frequency reuse factor; graph theory; interference level; matching theory; mobile satellite communication; spectrum reuse scenario; Bipartite graph; Equations; Interference; Mathematical model; Mobile communication; Satellites; MSS; channel borrowing; channel reallocation; graph theory; optimal matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554899
  • Filename
    6554899