• DocumentCode
    1622971
  • Title

    Dynamic Power and Sub-Carrier Allocation for OFDMA-Based Wireless Multicast Systems

  • Author

    Liu, Juan ; Chen, Wei ; Cao, Zhigang ; Letaief, K.B.

  • fYear
    2008
  • Firstpage
    2607
  • Lastpage
    2611
  • Abstract
    Dynamic resource allocation is a key technique that can significantly improve the performance of next generation wireless systems under guaranteed QoS to users. Most of the current resource allocation algorithms are, however, limited to unicast traffics. In practice, how to efficiently allocate various resources in multicast wireless systems is not known. In this paper, we shall study dynamic resource allocation for OFDMA-based single-cell multicast systems. Specifically, we shall formulate an optimization problem to maximize the system throughput given a set of available resources (power and sub-carriers). The optimal resource allocation solution is proposed along with a low- complexity algorithm. In two extreme cases, namely, low and high SNR regimes, the low-complexity allocation algorithm is further simplified. Numerical results will show that the system throughput is significantly improved by using our proposed algorithms.
  • Keywords
    OFDM modulation; cellular radio; frequency division multiple access; multicast communication; optimisation; quality of service; resource allocation; OFDMA-based wireless multicast system; QoS; dynamic power allocation; dynamic resource allocation; next generation wireless system; optimization problem; orthogonal frequency division multiple access; quality of service; single-cell multicast system; sub carrier allocation; Constraint optimization; Multicast algorithms; OFDM; Quality of service; Resource management; Telecommunication traffic; Throughput; Unicast; Videoconference; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.494
  • Filename
    4533530