• DocumentCode
    2368960
  • Title

    Reduced feedback links for power minimization in distributed multicell OFDMA networks

  • Author

    Özbek, Berna ; Le Ruyet, Didier ; Pischella, Mylene

  • Author_Institution
    CEDRIC/LAETITIA, CNAM, Paris, France
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    3884
  • Lastpage
    3888
  • Abstract
    In the next generation of multicell networks, adaptive resource allocation techniques will play an important role to improve both quality of service and spectral efficiency. In order to employ distributed power allocation for multicell Orthogonal Frequency-Division Multiple Access (OFDMA) networks, the channel state information (CSI) belonging to all users is required to share among base stations. However, the amount of feedback increases with the number of users, base stations and subcarriers. Therefore, it is important to perform a selection at the user side for multicell networks. In this paper, we propose reduced feedback links by choosing the users based on their approximate signal to interference noise ratio (SINR). The performance of the reduced feedback links are illustrated in multicell OFDMA systems.
  • Keywords
    OFDM modulation; cellular radio; feedback; frequency division multiple access; quality of service; radio links; radiofrequency interference; resource allocation; CSI; SINR; adaptive resource allocation techniques; approximate signal to interference noise ratio; base stations; channel state information; distributed multicell OFDMA networks; distributed power allocation; multicell orthogonal frequency-division multiple access network; next generation network; power minimization; quality of service; reduced feedback links; spectral efficiency; Interference; Joints; Minimization; OFDM; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363962
  • Filename
    6363962