• DocumentCode
    3629866
  • Title

    Channel-aware scheduling algorithms for SC-FDMA in LTE uplink

  • Author

    Luis Angel Maestro Ruiz de Temino;Gilberto Berardinelli;Simone Frattasi;Preben Mogensen

  • Author_Institution
    Radio Access Technology Section (RATE), Dept. of Electronic Systems, Aalborg University, Niels Jernes Vej 12, 9220, Denmark
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Single-carrier frequency division multiple access (SC-FDMA) has been selected as the uplink access scheme in the UTRA Long Term Evolution (LTE) due to its low peak-to-average power ratio properties compared to orthogonal frequency division multiple access. Nevertheless, in order to achieve such a benefit, it requires a localized allocation of the resource blocks, which naturally imposes a severe constraint on the scheduler design. In this paper, three new channel-aware scheduling algorithms for SC-FDMA are proposed and evaluated in both local and wide area scenarios. Whereas the first maximum expansion (FME) and the recursive maximum expansion (RME) are relative simple solutions to the above-mentioned problem, the minimum area-difference to the envelope (MADE) is a more computational expensive approach, which, on the other hand, performs closer to the optimal combinatorial solution. Simulation results show that adopting a proportional fair metric all the proposed algorithms quickly reach a high level of data-rate fairness. At the same time, they definitely outperform the Round-Robin scheduling in terms of cell spectral efficiency with gains up to 68.8% in wide area environments.
  • Keywords
    "Scheduling algorithm","Peak to average power ratio","Resource management","Frequency conversion","OFDM","Long Term Evolution","Downlink","Radio spectrum management","Computational modeling","Processor scheduling"
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
  • ISSN
    2166-9570
  • Print_ISBN
    978-1-4244-2643-0
  • Electronic_ISBN
    2166-9589
  • Type

    conf

  • DOI
    10.1109/PIMRC.2008.4699645
  • Filename
    4699645