• DocumentCode
    485293
  • Title

    Adaptive resource allocation in OFDMA-based cooperative cellular network

  • Author

    Lei You ; Mei Song ; JunDe Song

  • Author_Institution
    PCN&CAD Center, Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    333
  • Lastpage
    336
  • Abstract
    Adaptive resource allocation is studied for OFDMA-based cooperative cellular networks. Assuming that the base station has all the channel state information (CSI), an optimization problem for adaptive subcarrier assignment, power allocation and relay selection scheme that maximizes downlink capacity of the system is formulated. Since the optimal solution is computationally complex to obtain, a suboptimal solution dividing the problem into two steps is proposed. The algorithm in the first step for allocating subcarriers and power of BS aims at exploiting multiuser diversity of OFDMA network, while greedy relay selection and iterative relay power allocation algorithms in the second step try to exploit cooperative diversity capacity as much as possible. Numerical results show that the proposed solution can achieve significant improvement on system capacity due to two diversity schemes fully utilized by the algorithms.
  • Keywords
    OFDM modulation; cellular radio; computational complexity; diversity reception; frequency division multiple access; iterative methods; optimisation; resource allocation; OFDMA-based cooperative cellular network; adaptive resource allocation; adaptive subcarrier assignment; channel state information; computationally complex; cooperative diversity capacity; downlink capacity; greedy relay selection; iterative relay power allocation algorithms; multiuser diversity; optimization problem; relay selection scheme; system capacity; OFDMA; adaptive resource allocation; cooperative diversity; multiuser diversity;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-836-5
  • Type

    conf

  • Filename
    4786205