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Modeling and implementation of 5G edge caching over satellite

机译:卫星5G边缘缓存的建模与实现

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The fifth-generation (5G) wireless networks have to deal with the high data rate and stringent latency requirements due to the massive invasion of connected devices and data-hungry applications. Edge caching is a promising technique to overcome these challenges by prefetching the content closer to the end users at the edge node's local storage. In this paper, we analyze the performance of edge caching 5G networks with the aid of satellite communication systems. First, we investigate the satellite-aided edge caching systems in two promising use cases: (a) in dense urban areas and (b) in sparsely populated regions, eg, rural areas. Second, we study the effectiveness of satellite systems via the proposed satellite-aided caching algorithm, which can be used in three configurations: (a) mono-beam satellite, (b) multi-beam satellite, and (c) hybrid mode. Third, the proposed caching algorithm is evaluated by using both empirical Zipf-distribution data and the more realistic Movielens dataset. Last but not least, the proposed caching scheme is implemented and tested by our developed demonstrators which allow real-time analysis of the cache hit ratio and cost analysis.
机译:由于连接设备和数据饥饿的应用,第五代(5G)无线网络必须处理高数据速率和严格延迟要求。边缘缓存是一种希望通过将内容更接近EDGE节点本地存储器的内容来克服这些挑战的有希望的技术。在本文中,我们借助卫星通信系统分析了边缘缓存5G网络的性能。首先,我们研究了两个有希望的用例中的卫星辅助边缘缓存系统:(a)在稀疏的城市地区和(b)中,稀疏人口稠密的地区,例如农村地区。其次,我们通过所提出的卫星辅助缓存算法研究卫星系统的有效性,可用于三种配置:(a)单光束卫星,(b)多光束卫星和(c)混合模式。第三,通过使用经验Zipf分布数据和更现实的Movielens数据集来评估所提出的缓存算法。最后但并非最不重要的是,我们开发的示威者实施和测试了拟议的缓存方案,该示威者允许实时分析缓存命中率和成本分析。

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