SVM-D: 5G蜂窝网络上基于D2D卸载的高效SHVC视频多播

P. Barik, R. Datta
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引用次数: 0

摘要

设备到设备(D2D)卸载是5G中的一项新兴技术,支持缓存的移动设备从基站接收数据,并将其分发给D2D覆盖范围内的用户。存储容量和电池能量的限制对实现这种技术施加了额外的限制。在本文中,我们提出了一种新的D2D卸载方案(SVM-D),用于5G多媒体移动无线网络中可扩展高效视频编码(SHVC)视频的多播传输。SVM-D不选择单个集群头,而是选择多个用户来缓存和转发可扩展的视频内容到集群成员。根据用户的设备类别、信道质量和可用电池能量,采用混合方法选择用户子集作为潜在的D2D发射机(簇头)。目标是减少BSs的资源利用率,并在为用户提供足够的体验质量(QoE)的同时增加集群生命周期。本地服务器(即移动边缘计算服务器)按需执行多媒体内容的SHVC编码,并通过基站将其分发给用户。我们根据其总体资源利用率、平均电池寿命和集群用户的平均QoE来评估SVM-D的性能。并与5G网络中传统的单播和多播方案进行了比较,比较了是否采用D2D卸载方案(单个簇头存储和转发数据)。仿真结果表明,SVM-D算法优于文献中其他常用的算法。
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SVM-D: Efficient SHVC Video Multicast through D2D Offloading over 5G Cellular Networks
Device-to-Device (D2D) offloading is an emerging technique in 5G where cache-enabled mobile devices receive data from a base station and distribute to the users within its D2D coverage. Storage capacity and battery energy limitation impose additional constraints in implementing such techniques. In this paper, we propose a novel D2D offloading scheme (SVM-D) for multicast transmissions of Scalable High Efficiency Video Coding (SHVC) videos in 5G multimedia mobile wireless networks. Instead of selecting a single cluster head, SVM-D selects multiple users for caching and forwarding scalable video content to the cluster members. A hybrid approach has been adopted for selecting a subset of users as the potential D2D transmitters (cluster heads) depending on their device category, channel quality, and available battery energy. The objective is to reduce the resource utilization at BSs and to increase the cluster lifetime while providing sufficient quality of experience (QoE) to the users. The local servers (i.e., mobile edge computing servers) perform an on-demand SHVC encoding of multimedia content and distribute it to the users via base stations. We evaluate the performance of SVM-D in terms of its overall resource utilization, average battery lifetime, and average QoE of the cluster users. The comparison is made with conventional unicast and multicast schemes in 5G network with and without D2D offloading scheme (where a single cluster head stores and forwards the data). Simulation results show that SVM-D out performs other popular existing schemes from the literature.
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