Content caching and delivery over heterogeneous wireless networks
2015 IEEE Conference on Computer Communications (INFOCOM)(2015)
摘要
Emerging heterogeneous wireless architectures consist of a dense deployment of local-coverage wireless access points (APs) with high data rates, along with sparsely-distributed, large-coverage macro-cell base stations (BS). We design a coded caching-and-delivery scheme for such architectures that equips APs with storage, enabling content pre-fetching prior to knowing user demands. Users requesting content are served by connecting to local APs with cached content, as well as by listening to a BS broadcast transmission. For any given content popularity profile, the goal is to design the caching-and-delivery scheme so as to optimally trade off the transmission cost at the BS against the storage cost at the APs and the user cost of connecting to multiple APs. We design a coded caching scheme for non-uniform content popularity that dynamically allocates user access to APs based on requested content. We demonstrate the approximate optimality of our scheme with respect to information-theoretic bounds. We numerically evaluate it on a YouTube dataset and quantify the trade-off between transmission rate, storage, and access cost. Our numerical results also suggest the intriguing possibility that, to gain most of the benefits of coded caching, it suffices to divide the content into a small number of popularity classes.
更多查看译文
关键词
content caching,content delivery,heterogeneous wireless networks,heterogeneous wireless architectures,local-coverage wireless access points,data rates,large-coverage macrocell base stations,coded caching-and-delivery scheme,content prefetching,user demands,local AP,BS broadcast transmission,nonuniform content popularity profile,transmission cost,storage cost,information-theoretic bounds,transmission rate,YouTube dataset,access cost,5G systems
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络