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.

中文翻译：

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卫星5G边缘缓存的建模和实现

第五代（5G）无线网络由于对连接的设备和需要大量数据的应用程序进行了大规模入侵而不得不应对高数据速率和严格的延迟要求。边缘缓存是一种有前途的技术，可以通过在边缘节点的本地存储中预取更接近最终用户的内容来克服这些挑战。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，我们在两个有希望的用例中研究了卫星辅助边缘缓存系统：（a）在人口稠密的城市地区，（b）在人口稀少的地区，例如农村地区。其次，我们通过提出的卫星辅助缓存算法研究卫星系统的有效性，该算法可用于三种配置：（a）单波束卫星，（b）多波束卫星，（c）混合模式。第三，通过使用经验的Zipf分布数据和更真实的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一点是，建议的缓存方案由我们开发的演示程序实施和测试，这些演示程序允许实时分析缓存命中率和成本分析。