• DocumentCode
    1363593
  • Title

    Multicast Recipient Maximization in IEEE 802.16j WiMAX Relay Networks

  • Author

    Kuo, Wen-Hsing ; Lee, Jeng-Farn

  • Author_Institution
    Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan
  • Volume
    59
  • Issue
    1
  • fYear
    2010
  • Firstpage
    335
  • Lastpage
    343
  • Abstract
    In this paper, we propose a resource-allocation scheme for multicast service in downlink transmission for IEEE 802.16j WiMax relay networks. Most existing algorithms try to minimize the total energy of a multicast tree. In contrast, we address the multicast recipient maximization (MRM) problem, which maximizes the total number of recipients with the given budget by adjusting the distribution of the allocated resource between the base station and the relay nodes. We prove that MRM is NP-complete and propose a polynomial-time scheme called dynamic station selection (DSS) to solve the problem based on the proposed auxiliary graph. Based on the provided lemmas, which serve as important guidelines for solving similar problems, we show that our heuristic algorithm has polynomial-time complexity and prove that its performance is bound to the optimum. The results of simulations demonstrate that, given different amounts of resource and variable channel conditions, the performance of DSS is always close to the optimum. Moreover, DSS more efficiently utilizes resources as the node density increases, resulting in more efficient resource allocation.
  • Keywords
    WiMax; computational complexity; IEEE 802.16 WiMax relay networks; NP-complete; auxiliary graph; base station; downlink transmission; dynamic station selection; heuristic algorithm; multicast recipient maximization; multicast service; polynomial-time complexity; resource allocation scheme; 802.16j; Multicast; relay networks; resource allocation;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2031554
  • Filename
    5232837