A hybrid of MDS coding and uncoded partial replication achieves the known PIR storage-download curve at more points, but the general claim is only demonstrated by a single example.
Private Information Retrieval From a Cellular Network With Caching at the Edge
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abstract
We consider the problem of downloading content from a cellular network where content is cached at the wireless edge while achieving privacy. In particular, we consider private information retrieval (PIR) of content from a library of files, i.e., the user wishes to download a file and does not want the network to learn any information about which file she is interested in. To reduce the backhaul usage, content is cached at the wireless edge in a number of small-cell base stations (SBSs) using maximum distance separable codes. We propose a PIR scheme for this scenario that achieves privacy against a number of spy SBSs that (possibly) collaborate. The proposed PIR scheme is an extension of a recently introduced scheme by Kumar et al. to the case of multiple code rates, suitable for the scenario where files have different popularities. We then derive the backhaul rate and optimize the content placement to minimize it. We prove that uniform content placement is optimal, i.e., all files that are cached should be stored using the same code rate. This is in contrast to the case where no PIR is required. Furthermore, we show numerically that popular content placement is optimal for some scenarios.
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Improved Storage for Efficient Private Information Retrieval
A hybrid of MDS coding and uncoded partial replication achieves the known PIR storage-download curve at more points, but the general claim is only demonstrated by a single example.