Flexible resource allocation for multicast in OFDMA based wireless networks

Xin Zhao, S. Jha
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引用次数: 3

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.
OFDMA无线网络中多播资源的灵活分配
研究了基于OFDMA的无线网络中高效组播资源分配方案。传统的组播资源分配方案在组播组中为用户分配完全相同的子载波,本文提出了一种更灵活的方案,利用不同用户信道系数的多样性将组播组成员划分为不同的子组。我们首先制定了一个优化问题,以最大限度地提高整体传输速率。考虑到问题的np -硬度,我们设计了一个低复杂度的启发式几何规划灵活资源分配(FRAG)方法。FRAG是一种两步启发式算法,用于细分组播组并将资源分配给相应的子组。第一步,我们提出了一种贪心算法,在功率均匀分布的前提下进行分组和子载波分配。然后利用几何规划(GP)求解最优功率分配问题。数值结果表明,该算法能够高效地分配子载波和功率,使总吞吐量提高33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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