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Title: A Shannon-Theoretic Approach to the Storage–Retrieval Trade-Off in PIR Systems
We consider the storage–retrieval rate trade-off in private information retrieval (PIR) systems using a Shannon-theoretic approach. Our focus is mostly on the canonical two-message two-database case, for which a coding scheme based on random codebook generation and the binning technique is proposed. This coding scheme reveals a hidden connection between PIR and the classic multiple description source coding problem. We first show that when the retrieval rate is kept optimal, the proposed non-linear scheme can achieve better performance over any linear scheme. Moreover, a non-trivial storage-retrieval rate trade-off can be achieved beyond space-sharing between this extreme point and the other optimal extreme point, achieved by the retrieve-everything strategy. We further show that with a method akin to the expurgation technique, one can extract a zero-error PIR code from the random code. Outer bounds are also studied and compared to establish the superiority of the non-linear codes over linear codes.  more » « less
Award ID(s):
2045656 2007108 1816546 2007067
NSF-PAR ID:
10429266
Author(s) / Creator(s):
; ;
Publisher / Repository:
MDPI
Date Published:
Journal Name:
Information
Volume:
14
Issue:
1
ISSN:
2078-2489
Page Range / eLocation ID:
44
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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