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Efficient Resource Allocation Based on Layered Coding in Single Frequency Network with Limited Feedback Scheme

机译:有限反馈方案的单频网络中基于分层编码的高效资源分配

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Single frequency network (SFN) can provide Multimedia Broadcast Multicast Service (MBMS) over a large coverage area, so it receives more and more attention from both academia and industry. However, the application of SFN is still restricted by a large number of feedbacks. Therefore, we propose a novel multicast resource allocation algorithm based on limited feedback scheme. In the algorithm, we first design a user limited feedback scheme based on channel gain threshold to effectively reduce feedback load. The scheme determines to which base stations users should report channel state information. Next, to overcome the MBMS capacity limitation drawback, we encode the MBMS data into a base layer and multiple enhancement layers and develop a joint subcarrier and power allocation strategy to maximize the throughput of enhancement layers while guaranteeing the rate requirement of base layer. Simulation results show that the proposed algorithm significantly reduces 83 % of the feedback overhead while achieving a comparable multicast throughput performance to the case of full feedback.
机译:单频网络(SFN)可以在较大的覆盖范围内提供多媒体广播多播服务(MBMS),因此它受到了学术界和行业的越来越多的关注。但是,SFN的应用仍然受到大量反馈的限制。因此,我们提出了一种基于有限反馈方案的新型组播资源分配算法。在该算法中,我们首先基于信道增益阈值设计用户受限的反馈方案,以有效地减少反馈负载。该方案确定用户应向哪些基站报告信道状态信息。接下来,为了克服MBMS容量限制的缺点,我们将MBMS数据编码为基础层和多个增强层,并制定了联合子载波和功率分配策略,以在确保基础层速率要求的同时最大化增强层的吞吐量。仿真结果表明,该算法可显着减少83%的反馈开销,同时实现与全反馈情况相当的多播吞吐量性能。

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