论文标题
在缓存的多用户私人信息检索上
On Cache-Aided Multi-User Private Information Retrieval with Small Caches
论文作者
论文摘要
在本文中,我们提出了一个方案,以使用小型缓存的缓存多用户私人信息检索问题,其中$ k $用户通过共享链接连接到$ s $ noncolding数据库。每个数据库都包含一组$ n $文件,每个用户的大小的专用缓存等同于$ m $文件的大小。所有用户都想检索文件而不向数据库揭示其需求。在非高峰时段,所有用户都将填充其缓存,并且在需要时,用户将通过合作生成每个数据库的查询集来要求其所需的文件。从数据库接收传输后,所有用户应使用传输数据和缓存内容获取所需的文件。这个问题已在[X。 Zhang,K。Wan,H。Sun,M。Ji和G. Caire,\ tqt {Cache-aid的Multiuser私人信息检索的基本限制},IEEE Trans。 Commun。,2021],作者提出了产品设计方案。在本文中,我们提出了一个计划,该计划的特定价值比产品设计方案更高。我们认为在放置阶段的方法略有不同。数据库不是直接填充所有用户的缓存的数据库,而是将为共享链接上的所有用户广播缓存内容,然后用户将联合决定在每个用户的缓存中将广播内容的哪一部分存储。这种变化有助于以降低的速率维持隐私约束。
In this paper, we propose a scheme for the problem of cache-aided multi-user private information retrieval with small caches, in which $K$ users are connected to $S$ non-colluding databases via shared links. Each database contains a set of $N$ files, and each user has a dedicated cache of size equivalent to the size of $M$ files. All the users want to retrieve a file without revealing their demands to the databases. During off-peak hours, all the users will fill their caches, and when required, users will demand their desired files by cooperatively generating query sets for each database. After receiving the transmissions from databases, all the users should get their desired files using transmitted data and their cache contents. This problem has been studied in [X. Zhang, K. Wan, H. Sun, M. Ji and G. Caire, \tqt{Fundamental limits of cache-aided multiuser private information retrieval}, IEEE Trans. Commun., 2021], in which authors proposed a product design scheme. In this paper, we propose a scheme that gives a better rate for a particular value of $M$ than the product design scheme. We consider a slightly different approach for the placement phase. Instead of a database filling the caches of all users directly, a database will broadcast cache content for all users on a shared link, and then the users will decide unitedly which part of the broadcasted content will be stored in the cache of each user. This variation facilitates maintaining the privacy constraint at a reduced rate.