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A low computational-cost subgrouping multicast scheme for emerging 5G-satellite networks

机译:新兴的5G卫星网络的低计算成本分组组播方案

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Multimedia content delivery over satellite system is considered as a promising service in the future fifth generation (5G) cellular systems. The aim of this work is to design a low-computational radio resource management (RRM) multicast algorithm, named Near-Optimal Subgroup Solution (NOSS), for efficiently managing multimedia video content delivery over satellite network. The idea is to perform the radio spectrum allocation on a per-group basis, thus splitting all the multicast members into different subgroups according to the experienced channel quality. Simulation results demonstrate that the proposed approach is able to overcome the limitation of the previous techniques proposed in literature in terms of user throughput. As a further result, the proposed NOSS approach resulted to be also efficient in terms of fairness and robust to the long propagation delay of satellite links.
机译:通过卫星系统的多媒体内容交付被认为是未来的第五代(5G)蜂窝系统中的一项有前途的服务。这项工作的目的是设计一种称为近最佳子组解决方案(NOSS)的低计算无线电资源管理(RRM)多播算法,以有效管理通过卫星网络进行的多媒体视频内容交付。这个想法是在每个组的基础上执行无线电频谱分配,从而根据经验丰富的信道质量将所有多播成员划分为不同的子组。仿真结果表明,所提出的方法能够克服用户吞吐量方面文献中提出的先前技术的局限性。进一步的结果是,提出的NOSS方法在公平性方面也很有效,并且对卫星链路的长传播延迟也很健壮。

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