The Community for Technology Leaders
RSS Icon
Subscribe
Clearwater Beach, FL, USA USA
Oct. 22, 2012 to Oct. 25, 2012
ISBN: 978-1-4673-1565-4
pp: 445-452
Xin Zhao , School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia
Sanjay Jha , School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia
ABSTRACT
This paper studies an efficient resource allocation scheme for multicast in OFDMA based wireless networks. Apart from the conventional resource allocation schemes for multicast which allocate exactly the same subcarriers to the users in a multicast group, this paper proposes a more flexible scheme to divide the multicast group members into different subgroups by utilising the diversity of channel coefficient of different users. We first formulate an optimisation problem to maximise the overall transmission rate. Given the NP-hardness of the problem, we design a low-complexity heuristic, Flexible Resource Allocation with Geometric programming (FRAG). FRAG is a two-step heuristic to subdivide the multicast groups and allocate resource to corresponding subgroups. In the first step, we propose a greedy algorithm to subdivide groups and allocate subcarriers given the assumption of even power distribution. Then we use geometric programming (GP) to solve the optimal power allocation problem. Numerical results show that FRAG is able to allocate subcarriers and power efficiently and effectively, and it achieves up to 33% improvement in aggregated throughput.
INDEX TERMS
Resource management, Optimization, Programming, OFDM, Bandwidth, Wireless networks
CITATION
Xin Zhao, Sanjay Jha, "Flexible resource allocation for multicast in OFDMA based wireless networks", LCN, 2012, 38th Annual IEEE Conference on Local Computer Networks, 38th Annual IEEE Conference on Local Computer Networks 2012, pp. 445-452, doi:10.1109/LCN.2012.6423659
27 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool