The Capacity of Private Information Retrieval with Private Side Information Under Storage Constraints (1806.01253v1)

Abstract: We consider the problem of private information retrieval (PIR) of a single message out of $K$ messages from $N$ replicated and non-colluding databases where a cache-enabled user (retriever) of cache-size $S$ possesses side information in the form of uncoded portions of the messages that are unknown to the databases. The identities of these side information messages need to be kept private from the databases, i.e., we consider PIR with private side information (PSI). We characterize the optimal normalized download cost for this PIR-PSI problem under the storage constraint $S$ as $D^*=1+\frac{1}{N}+\frac{1}{N^2}+\dots+\frac{1}{N^{K-1-M}}+\frac{1-r_M}{N^{K-M}}+\frac{1-r_{M-1}}{N^{K-M+1}}+\dots+\frac{1-r_1}{N^{K-1}}$, where $r_i$ is the portion of the $i$th side information message that is cached with $\sum_{i=1}^M r_i=S$. Based on this capacity result, we prove two facts: First, for a fixed memory size $S$ and a fixed number of accessible messages $M$, uniform caching achieves the lowest normalized download cost, i.e., $r_i=\frac{S}{M}$, for $i=1,\dots, M$, is optimum. Second, for a fixed memory size $S$, among all possible $K-\left \lceil{S} \right \rceil+1$ uniform caching schemes, the uniform caching scheme which caches $M=K$ messages achieves the lowest normalized download cost.