• DocumentCode
    2840803
  • Title

    Genetic Algorithm Approach for Adaptive Subcarrier, Bit, and Power Allocation

  • Author

    Reddy, Y.B.

  • Author_Institution
    Grambling State Univ., Grambling
  • fYear
    2007
  • fDate
    15-17 April 2007
  • Firstpage
    14
  • Lastpage
    19
  • Abstract
    Orthogonal frequency division multiplexing (OFDM) is a promising technology for high data rate transmission in wideband wireless systems for achieving high downlink capacities in future cellular systems. In this paper, first each user is assigned one subcarrier (channel) with best channel-to-noise ratio for the channel and random power for each channel. The goal is to minimize the overall transmission power ensuring the optimum allocation of subcarriers for users. We used a simple genetic algorithm to improve the power requirements in a multiuser environment. The simulation results indicate that the proposed genetic algorithm performs better than the Wong´s (1999) subcarrier, bit, and power allocation algorithm.
  • Keywords
    OFDM modulation; cellular radio; data communication; genetic algorithms; subcarrier multiplexing; wireless channels; OFDM; adaptive subcarrier allocation; bit allocation; cellular systems; channel-to-noise ratio; genetic algorithm; high data rate transmission; high downlink capacities; multiuser environment; orthogonal frequency division multiplexing; power allocation; wideband wireless systems; AWGN; Amplitude modulation; Bit error rate; Genetic algorithms; Greedy algorithms; Iterative algorithms; OFDM modulation; Quadrature amplitude modulation; Resource management; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2007 IEEE International Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-1076-2
  • Electronic_ISBN
    1-4244-1076-2
  • Type

    conf

  • DOI
    10.1109/ICNSC.2007.372925
  • Filename
    4238956