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A RESOURCE ALLOCATION SCHEME FOR SCALABLE VIDEO MULTICAST
IN WIMAX RELAY NETWORKS
ABSTRACT:
This paper proposes the first resource allocation scheme in the literature to support scalable-
video multicast for WiMAX relay networks. We prove that when the available bandwidth is
limited, the bandwidth allocation problems of 1) maximizing network throughput and 2)
maximizing the number of satisfied users are NP-hard. To find the near-optimal solutions to this
type of maximization problem in polynomial time, this study first proposes a greedy weighted
algorithm, GWA, for bandwidth allocation. By incorporating table-consulting mechanisms, the
proposed GWA can intelligently avoid redundant bandwidth allocation and thus accomplish high
network performance (such as high network throughput or large number of satisfied users).
The high performance gained by GWA and simultaneously improves its worst case performance;
this study extends GWA to a bounded version, BGWA, which guarantees that its performance
gains are lower bounded. This study shows that the computational complexity of BGWA is also
in polynomial time and proves that BGWA can provide at least 1/ρ times the performance of the
optimal solution, where rho is a finite value no less than one. Finally, simulation results show
that the proposed BGWA bandwidth allocation scheme can effectively achieve different
performance objectives with different parameter settings.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com

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Java a resource allocation scheme for scalable video multicast in wi max relay networks

  • 1. A RESOURCE ALLOCATION SCHEME FOR SCALABLE VIDEO MULTICAST IN WIMAX RELAY NETWORKS ABSTRACT: This paper proposes the first resource allocation scheme in the literature to support scalable- video multicast for WiMAX relay networks. We prove that when the available bandwidth is limited, the bandwidth allocation problems of 1) maximizing network throughput and 2) maximizing the number of satisfied users are NP-hard. To find the near-optimal solutions to this type of maximization problem in polynomial time, this study first proposes a greedy weighted algorithm, GWA, for bandwidth allocation. By incorporating table-consulting mechanisms, the proposed GWA can intelligently avoid redundant bandwidth allocation and thus accomplish high network performance (such as high network throughput or large number of satisfied users). The high performance gained by GWA and simultaneously improves its worst case performance; this study extends GWA to a bounded version, BGWA, which guarantees that its performance gains are lower bounded. This study shows that the computational complexity of BGWA is also in polynomial time and proves that BGWA can provide at least 1/ρ times the performance of the optimal solution, where rho is a finite value no less than one. Finally, simulation results show that the proposed BGWA bandwidth allocation scheme can effectively achieve different performance objectives with different parameter settings. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE CELL: +91 98949 17187, +91 875487 2111 / 3111 / 4111 / 5111 / 6111 VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com