Asymmetry Hurts: Private Information Retrieval Under Asymmetric Traffic Constraints
Karim Banawan, Sennur Ulukus

TL;DR
This paper investigates private information retrieval under asymmetric traffic constraints, deriving bounds on capacity and showing how asymmetry reduces efficiency compared to symmetric scenarios.
Contribution
It introduces a generalized upper bound and explicit achievability scheme for PIR with asymmetric traffic, extending prior symmetric results.
Findings
Upper bound on PIR capacity as a piece-wise affine function of traffic ratios
Achievability of all corner points for the capacity region
Exact capacity characterization for M=2 and M=3 messages
Abstract
We consider the classical setting of private information retrieval (PIR) of a single message (file) out of messages from distributed databases under the new constraint of \emph{asymmetric traffic} from databases. In this problem, the \emph{ratios between the traffic} from the databases are constrained, i.e., the ratio of the length of the answer string that the user (retriever) receives from the th database to the total length of all answer strings from all databases is constrained to be . This may happen if the user's access to the databases is restricted due database availability, channel quality to the databases, and other factors. For this problem, for fixed , , we develop a general upper bound , which generalizes the converse proof of Sun-Jafar, where database symmetry was inherently used. Our converse bound is a piece-wise…
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