• DocumentCode
    2219571
  • Title

    C32. Greedy power allocation algorithm for proportional resource allocation in multi-user OFDM systems

  • Author

    Odhah, Najib A. ; Dessouky, Moawad I. ; Al-Hanafy, Waleed E. ; El-Samie, Fathi E Abd

  • Author_Institution
    Fac. of Electron. Eng., Menoufia Univ., Menouf, Egypt
  • fYear
    2012
  • fDate
    10-12 April 2012
  • Firstpage
    421
  • Lastpage
    428
  • Abstract
    Multi-User Orthogonal Frequency Division Multiplexing (MU-OFDM) is an efficient technique for achieving high downlink capacity in high-speed communication systems. A key issue in MU-OFDM is the allocation of the OFDM subcarriers and power to users sharing the channel. In this paper, a proportional rate-adaptive resource allocation algorithm for MU-OFDM is presented. Subcarrier and power allocation are carried out sequentially to reduce the complexity. The low complexity proportional subcarriers allocation is followed by Greedy Power Allocation (GPA) to solve the rate-adaptive resource allocation problem with proportional rate constraints for MU-OFDM systems. It improves on the work of Wong et al. in this area by introducing optimal GPA that achieves approximate rate proportionality, while maximizing the total sum-rate capacity of MU-OFDM. It is shown through simulation that the proposed GPA algorithm performs better than the algorithm of Wong et al. by achieving higher total capacities with the same computational complexity, especially, at higher number of users.
  • Keywords
    OFDM modulation; multi-access systems; radio links; resource allocation; GPA algorithm; MU-OFDM system; OFDM subcarriers; approximate rate proportionality; computational complexity; downlink capacity; greedy power allocation algorithm; high speed communication system; multiuser OFDM system; multiuser orthogonal frequency division multiplexing; proportional rate constraints; proportional rate-adaptive resource allocation algorithm; proportional resource allocation; rate-adaptive resource allocation problem; sum-rate capacity; Approximation algorithms; Bit error rate; Educational institutions; OFDM; Quadrature amplitude modulation; Resource management; Signal to noise ratio; GPA; MU-OFDM; Proportional resource allocation; Sum-rate capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference (NRSC), 2012 29th National
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4673-1884-6
  • Type

    conf

  • DOI
    10.1109/NRSC.2012.6208550
  • Filename
    6208550