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Improved delivery rate-cache capacity trade-off for centralized coded caching

机译:改进的交付速率-缓存容量折衷方案,用于集中式编码缓存

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Centralized coded caching problem, in which a server with N distinct files, each with the size of F bits, serves K users, each equipped with a cache of capacity MF bits, is considered. The server is allowed to proactively cache contents into user terminals during the placement phase, without knowing the particular user requests. After the placement phase, each user requests one of the N files from the server, and all the users' requests are satisfied simultaneously by the server through an error-free shared link during the delivery phase. A novel coded caching algorithm is proposed, which is shown to achieve a smaller delivery rate compared to the existing coded caching schemes in the literature for a range of N and K values; particularly when the number of files is larger than the number of users in the system.
机译:考虑了集中式编码缓存问题,其中具有N个不同文件(每个文件具有F位的大小)的服务器为K个用户提供服务,每个用户都配备了容量为MF位的缓存。在放置阶段,允许服务器在不知道特定用户请求的情况下主动将内容缓存到用户终端中。在放置阶段之后,每个用户都从服务器请求N个文件之一,并且服务器在交付阶段通过无错误的共享链接同时满足了所有用户的请求。提出了一种新颖的编码缓存算法,与文献中的现有编码缓存方案相比,在N和K值范围内,该算法可实现较小的传输速率。特别是当文件数大于系统中的用户数时。

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