• DocumentCode
    2110701
  • Title

    Cognitive radio-based interference avoidance schemes for MB-OFDM UWB

  • Author

    Li, Man ; Wang, Deqiang ; Song, Yunxia ; Yang, Yuanyuan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1096
  • Lastpage
    1099
  • Abstract
    This paper focuses on the coexistence problem of multi-band orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) systems and current radio systems such as IEEE802.11a. Aiming at improving the performance of MB-OFDM UWB, we attempt to avoid interferences from IEEE802.11a systems. The cognitive radio (CR) technology is introduced to detect the distribution of co-channel interferences over all sub-bands. Then a CR-based frequency hopping (FH) scheme is proposed for MB-OFDM UWB systems to select sub-bands adaptively according to the interference pattern. Furthermore, for extreme scenarios where interferences are detected over all available sub-bands, a refined avoidance mechanism is enabled by turning off disturbed sub-carriers. Simulation results reveal that both the bit error rate (BER) performance and the throughput of the MB-OFDM UWB systems can be improved considerably by using the proposed schemes.
  • Keywords
    OFDM modulation; cognitive radio; error statistics; interference suppression; radiofrequency interference; ultra wideband communication; MB-OFDM UWB; bit error rate; co-channel interferences; coexistence problem; cognitive radio; frequency hopping; interference avoidance schemes; ultra wideband systems; Bit error rate; Interference; OFDM; Sensors; Signal to noise ratio; Throughput; WiMAX; cognitive radio (CR); interference aviodance; multiband orthogonal frequency division multiplexing (MBOFDM); ultra-wideband (UWB);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6942-0
  • Type

    conf

  • DOI
    10.1109/ICITIS.2010.5689742
  • Filename
    5689742