• DocumentCode
    42877
  • Title

    Optimal Power Allocation for Wideband Cognitive Radio Networks Employing SC-FDMA

  • Author

    Peiran Wu ; Schober, Robert ; Bhargava, V.K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    17
  • Issue
    4
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    669
  • Lastpage
    672
  • Abstract
    In this paper, we investigate the optimal power allocation (OPA) strategy of secondary user (SU) transmitters in wideband cognitive radio networks employing single-carrier frequency-division multiple access (SC-FDMA). To protect the link of the primary user, we study two types of constraints on the SUs: Individual per-tone interference power constraints (IPCs) for each SU and a joint aggregate IPC across all frequency tones and users. Using tools from convex optimization, we derive the sum rate optimal OPA across frequency tones for the SU transmitters for both types of constraints. Simulation results show that the proposed OPA schemes can considerably improve the achievable sum rate of SC-FDMA based SU systems compared to equal power allocation and conventional power allocation schemes.
  • Keywords
    cognitive radio; convex programming; frequency division multiple access; radio networks; radiofrequency interference; OPA strategy; SC-FDMA based SU systems; SU transmitters; convex optimization; frequency tones; individual per-tone interference power constraints; joint aggregate IPC; optimal power allocation strategy; primary user links; secondary user transmitters; single-carrier frequency-division multiple access; sum rate optimal OPA; wideband cognitive radio networks; Aggregates; Cognitive radio; Convex functions; Interference; Joints; Resource management; Vectors; Cognitive radio; SC-FDMA; power allocation;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.021913.122708
  • Filename
    6511520