• DocumentCode
    1989666
  • Title

    Cognitive Radio Scheduling for Overwater Communications

  • Author

    Zhang, Weiyi ; Bai, Shi ; Liu, Yang ; Tang, Jian

  • Author_Institution
    Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spectrum access over a large frequency range, which can be used to mitigate this problem. In this paper, we study how to leverage cognitive radios for effective communications in wireless networks over water. We formally define the studied problem as the OVErwater Radio-Time Scheduling (OVERTS) problem which seeks a radio channel with time schedule such that the total of assigned eligible time slots, in which a " good " communication link is maintained between every Mobile Station (MS) and the Base Station (BS), satisfies the time slots requirement of each MS. Two effective heuristic algorithms are presented for the OVERTS problem. Simulation results are presented to justify the performance and efficiency of our proposed scheduling algorithms.
  • Keywords
    channel allocation; cognitive radio; fading channels; marine communication; multipath channels; radio links; radio networks; radio spectrum management; OVERTS problem; base station; cognitive radio scheduling; communication link; conducting water surface; dynamic spectrum access; mobile station; multipath fading; overwater communication; overwater radio-time scheduling; radio channel; specular reflection; wireless communication; wireless networks; Cognitive radio; Dynamic programming; Heuristic algorithms; Schedules; Scheduling; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683565
  • Filename
    5683565