• DocumentCode
    732320
  • Title

    Robust cooperative spectrum sensing in full-duplex cognitive radio networks

  • Author

    Yun Liao ; Kaigui Bian ; Lili Ma ; Lingyang Song

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • fYear
    2015
  • fDate
    7-10 July 2015
  • Firstpage
    66
  • Lastpage
    68
  • Abstract
    Recently, a “listen-and-talk” (LAT) protocol for full-duplex (FD) cognitive radio networks (CRNs) has been proposed to allow simultaneous sensing and transmission of secondary users (SUs). However, sensing impairment due to self-interference remains a major problem in the FD protocol. In this paper, we explore the cooperative spectrum sensing (CSS) scheme to improve sensing reliability in FD CRNs. Also, we consider the robustness of the proposed scheme against the possible existence of misbehaving nodes. The interference from the transmitting SU to other SUs leads to significant difference between the proposed CSS scheme and conventional half-duplex ones. Specifically, we adopt a confidence-only report rule and a weighted majority fusion rule to alleviate the interference issue and impact of abnormal nodes, respectively.
  • Keywords
    cognitive radio; cooperative communication; interference suppression; protocols; radio spectrum management; sensor fusion; telecommunication network reliability; CSS scheme; FD CRNs; FD protocol; LAt protocol; confidence-only report rule; full duplex cognitive radio networks; listen and talk protocol; robust cooperative spectrum sensing; secondary users; self-interference; sensing impairment; sensing reliability improvement; weighted majority fusion rule; Cascading style sheets; Interference; Lead; Robustness; Sensors; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
  • Conference_Location
    Sapporo
  • ISSN
    2288-0712
  • Type

    conf

  • DOI
    10.1109/ICUFN.2015.7182500
  • Filename
    7182500