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Device-to-Device Communications Enabled Multicast Scheduling with the Multi-level Codebook in mmWave Small Cells

机译:在mmWave小型小区中使用多级代码本启用设备到设备通信的组播调度

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To keep up with the rapid growth of mobile data, there are increasing interests to deploy small cells in millimeter wave (mmWave) bands to underlay the conventional homogeneous macrocell network as well as in exploiting device-to-device (D2D) communications to improve the efficiency of the multicast service that supports content-based mobile applications. To compensate for high propagation loss in the mmWave band, high-gain directional antennas have to be employed, while it is critical to optimize multicast service in order to improve the network performance. In this paper, we develop an efficient multicast scheduling scheme for small cells in the mmWave band, called MD2D, where both D2D communications in close proximity and multi-level antenna codebook are utilized. Specifically, a user partition and multicast path planning algorithm is proposed to partition the users in the multicast group into subsets and to determine the transmission node for each subset, so as to achieve optimal utilization of D2D communications and multi-level antenna codebook. Then a multicast scheduling algorithm schedules the transmission for each subset. Furthermore, in order to optimize the network performance, the optimal choice of user partition thresholds is analyzed. Extensive simulations demonstrate that the MD2D achieves the best performance, in terms of network throughput and energy efficiency, compared with other existing state-of-the-art schemes. MD2D improves the network throughput compared with the second-best scheme by about 27%.
机译:为了跟上移动数据的快速增长,人们越来越有兴趣在毫米波(mmWave)频带中部署小型小区,以作为常规同质宏小区网络的基础,以及利用设备到设备(D2D)通信来改善移动通信的兴趣。支持基于内容的移动应用程序的多播服务的效率。为了补偿毫米波频段中的高传播损耗,必须使用高增益定向天线,而优化多播服务以提高网络性能至关重要。在本文中,我们为mmWave频带中的小型蜂窝小区开发了一种有效的多播调度方案,称为MD2D,其中同时利用了近距离D2D通信和多级天线码本。具体地,提出了一种用户划分和组播路径规划算法,将组播组中的用户划分为子集,确定每个子集的传输节点,以实现D2D通信和多级天线码本的最优利用。然后,多播调度算法为每个子集调度传输。此外,为了优化网络性能,分析了用户分区阈值的最佳选择。广泛的仿真表明,与其他现有的最新技术方案相比,MD2D在网络吞吐量和能效方面达到了最佳性能。与第二好的方案相比,MD2D将网络吞吐量提高了约27%。

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