• DocumentCode
    162954
  • Title

    Optimization of non-convex multiband cooperative sensing

  • Author

    Khwaja, A.S. ; Naeem, M. ; Anpalagan, Alagan ; Venetsanopoulos, Anastasios

  • Author_Institution
    Ryerson Univ., Toronto, ON, Canada
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    61
  • Lastpage
    65
  • Abstract
    This paper proposes a pattern search (PS) based algorithm to optimize non-convex multi-band cooperative sensing problem. We present a two-step PS-based solution: The first step uses uniformly distributed random sets of input points to find a solution. The set of points that gives the maximum throughput is chosen as input to the second step, which consists of solving the problem using PS algorithm. We give numerical examples that show the improvement of our method over existing algorithms.
  • Keywords
    cooperative communication; optimisation; random functions; maximum throughput; nonconvex multiband cooperative sensing; optimization; pattern search; two-step PS-based solution; uniformly distributed random sets; Cognitive radio; Interference; Optimization; Sensors; Throughput; Vectors; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (QBSC), 2014 27th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Type

    conf

  • DOI
    10.1109/QBSC.2014.6841185
  • Filename
    6841185