Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca, Elza Erkip

TL;DR
This paper explores the fundamental limits of cache-aided content delivery for correlated sources, proposing a correlation-aware two-step scheme that efficiently compresses, caches, and delivers content with near-optimal rates.
Contribution
It introduces a novel two-step source coding scheme combining Gray-Wyner compression with cache-aided multicast, tailored for correlated sources in broadcast networks.
Findings
Achieves optimal rate-memory tradeoff in certain regimes for two-file networks.
Within half of the joint entropy for all cache sizes in three-file networks.
Matches lower bounds for large cache capacities in multi-file scenarios.
Abstract
This paper studies the fundamental limits of content delivery in a cache-aided broadcast network for correlated content generated by a discrete memoryless source with arbitrary joint distribution. Each receiver is equipped with a cache of equal capacity, and the requested files are delivered over a shared error-free broadcast link. A class of achievable correlation-aware schemes based on a two-step source coding approach is proposed. Library files are first compressed, and then cached and delivered using a combination of correlation-unaware multiple-request cache-aided coded multicast schemes. The first step uses Gray-Wyner source coding to represent the library via private descriptions and descriptions that are common to more than one file. The second step then becomes a multiple-request caching problem, where the demand structure is dictated by the configuration of the compressed…
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