Coded caching arrays from a row-index-matrix framework require orthogonal arrays for equal user memory and covering arrays for maximal coding gain, yielding new schemes with reduced subpacketization.
Lifting Constructions of PDAs for Coded Caching with Linear Subpacketization
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abstract
Coded caching is a technique where multicasting and coding opportunities are utilized to achieve better rate-memory tradeoff in cached networks. A crucial parameter in coded caching is subpacketization, which is the number of parts a file is to be split into for coding purposes. The original Maddah-Ali-Niesen scheme has order-optimal rate at a subpacketization growing exponentially with the number of users. In contrast, placement and delivery schemes in coded caching, designed using placement delivery arrays (PDAs), can have linear subpacketization with a penalty in rate. In this work, we propose several constructions of efficient PDAs through lifting, where a base PDA is expanded by replacing each entry by another PDA. By proposing and using the notion of Blackburn-compatibility of PDAs, we provide multiple lifting constructions with increasing coding gains. We compare the constructed coded caching schemes with other existing schemes for moderately high number of users and show that the proposed constructions are versatile and achieve a good rate-memory tradeoff at low subpacketizations.
fields
cs.IT 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
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A framework of constructing placement delivery arrays for centralized coded caching
Coded caching arrays from a row-index-matrix framework require orthogonal arrays for equal user memory and covering arrays for maximal coding gain, yielding new schemes with reduced subpacketization.