• DocumentCode
    879540
  • Title

    Joint cross-layer scheduling and spectrum sensing for OFDMA cognitive radio systems

  • Author

    Wang, Rui ; Lau, Vincent K N ; Lv, Linjun ; Chen, Bin

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
  • Volume
    8
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    2410
  • Lastpage
    2416
  • Abstract
    In most of the existing works on cognitive radio (CR) systems, the spectrum sensing and the cross-layer scheduling are designed separately. Specifically, the sensing module first determines whether or not a channel resource is available for the CR system based on the sensing information. The scheduling module then schedules the data transmission of different users on the available channels based on the hard-decision sensing information (HSI). In this paper, we shall propose a joint crosslayer and sensing design and study its performance advantages over the aforementioned traditional decoupled approaches. We shall consider the downlink transmission of an OFDMA-based secondary system sharing the spectrum with primary users using cognitive radio technology. We shall rely on the joint design framework to optimize a system utility, which adapts the power allocation and the subcarrier assignment across the secondary users (under a average interference constraint to the primary users) based on both the channel state information (CSI) and the raw sensing information (RSI). In addition, we shall also propose a distributed implementation for the cross-layer sensing and scheduling design using primal-dual decomposition approach. Simulation results reveals the substantial performance gain of the proposed joint design over the conventional CR systems.
  • Keywords
    OFDM modulation; cognitive radio; frequency division multiple access; scheduling; OFDMA cognitive radio systems; channel state information; hard-decision sensing information; joint cross-layer scheduling; primal-dual decomposition approach; raw sensing information; spectrum sensing; Base stations; Channel state information; Chromium; Cognitive radio; Constraint optimization; Data communication; Design optimization; Downlink; Radio transmitters; Wireless sensor networks; Cognitive radio; cross-layer; distributed algorithm;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2009.071147
  • Filename
    4927456