• DocumentCode
    122563
  • Title

    Hybrid location awareness in cognitive radio system

  • Author

    Panichcharoenrat, Tawan ; Lee, Wei-Jen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., King Mongkut´s Univ. of Technol. North Bangkok, Bangkok, Thailand
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we consider the performance of received signal strength (RSS) and time of arrival (TOA) under different areas of primary user (PU) position estimation. The areas of PU position can be separated into two cases: inner area and outer area of boundary of secondary user (SU) nodes. This boundary is created by convex hull algorithm. In simulation result, we found that RSS is appropriated to use in inner area and TOA is suitable to use in outer area. Therefore, in this paper, we propose two hybrid location estimation techniques that combine RSS and TOA in cognitive radio (CR) system. The proposed techniques include the hybrid TOA/RSS in serial and the hybrid TOA/RSS in parallel technique. Simulation results show that the proposed techniques have better performance than the methods that use only RSS or TOA. Moreover, the proposed techniques are faster than TOA about 60%.
  • Keywords
    cognitive radio; mobile computing; mobility management (mobile radio); time-of-arrival estimation; PU position estimation; RSS; SU nodes; TOA estimation; cognitive radio system; convex hull algorithm; hybrid location awareness; hybrid location estimation techniques; parallel technique; primary user position estimation; received signal strength; secondary user nodes; time of arrival estimation; Antennas; Gain; Indexes; Signal to noise ratio; Cognitive radio; Hybrid location estimation; Location aware; Received signal strength; Time of arrival;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering Congress (iEECON), 2014 International
  • Conference_Location
    Chonburi
  • Type

    conf

  • DOI
    10.1109/iEECON.2014.6925839
  • Filename
    6925839