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Asymptotically Optimal Resource Allocation for Layered Video Multicast Streaming in OFDMA Systems

机译:OFDMA系统中分层视频组播流的渐近最优资源分配

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In this paper, the subcarrier and power allocation for video multicast services in wireless OFDMA systems is considered. To overcome the multicast capacity loss caused by the conventional multicast scheme where the rate of a subcarrier is determined by the worst channel user, the fine granularity scalability (FGS) video coding is exploited in the multicast system. The FGS decomposes the video contents into a base layer and an enhancement layer, and the enhancement layer streaming only has to be transmitted to part of the multicast users based on their channel conditions. The corresponding subcarrier and power allocation problem is formulated as a mixed binary integer programming problem. The goal is to maximize the system total throughput while satisfying the total power constraint and the minimum base layer transmission rate requirement constraints. Then we develop an asymptotically optimal resource allocation scheme based on the dual decomposition method to solve the resource allocation problem. Simulation results show that the algorithm we proposed can significantly improve the network's multicast capacity compare with the available suboptimal schemes.
机译:本文考虑了无线OFDMA系统中视频多播服务的子载波和功率分配。为了克服由最坏信道用户确定副载波速率的常规多播方案引起的多播容量损失,在多播系统中利用了精细粒度可伸缩性(FGS)视频编码。 FGS将视频内容分解为基础层和增强层,并且增强层流仅需基于其多播用户的信道条件传输至部分多播用户。将相应的子载波和功率分配问题表述为混合二进制整数规划问题。目的是在满足总功率约束和最小基本层传输速率要求约束的同时,最大化系统的总吞吐量。然后,基于对偶分解方法,提出了一种渐近最优的资源分配方案,以解决资源分配问题。仿真结果表明,与现有的次优方案相比,本文提出的算法可以显着提高网络的组播容量。

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