• DocumentCode
    1695868
  • Title

    Adaptive OFDMa scheme for spectrum and power allocation

  • Author

    Lacatus, Catalin ; Akopian, David ; Shadaram, Mehdi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper presents a new approach of optimal spectrum and power allocation for orthogonal frequency-division multiplexing (OFDM) modulation schemes. The algorithm is implemented using a parallel processing method, where each transmitted bit will minimize its cost functions, by choosing the spectrum and powers that suit better the interference pattern. The optimization problem is treated as a constrained problem, for which the optimal spectrum and power are designed based on modified gradient approach. The convergence of the algorithm was discussed. A conventional correlator implemented at the receiver part will provide immunity to perturbing interference for the optimal spectrum and power allocation. The validity of our system was confirmed by simulation.
  • Keywords
    OFDM modulation; convergence; frequency division multiple access; gradient methods; optimisation; parallel processing; telecommunication computing; adaptive OFDMA scheme; algorithm convergence; constrained problem; conventional correlator; cost functions; modified gradient approach; optimization problem; orthogonal frequency-division multiplexing modulation schemes; parallel processing method; power allocation; spectrum allocation; Constraint optimization; Convergence; Correlators; Cost function; Design optimization; Frequency division multiplexing; Frequency modulation; Interference constraints; OFDM modulation; Parallel processing; Spectrum sharing; constrained optimization; orthogonal frequency-division multiplexing; parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699017