Rate-Memory Trade-off for Multi-access Coded Caching with Uncoded Placement
Kota Srinivas Reddy, Nikhil Karamchandani

TL;DR
This paper investigates the rate-memory trade-off in multi-access coded caching with uncoded placement, providing new bounds that are order-optimal for large access degrees and improving upon previous results.
Contribution
It introduces new achievable and lower bounds for the rate-memory trade-off in multi-access caching, establishing order-optimality for large access degrees under uncoded placement.
Findings
New achievable rate for all access degrees L ≥ 1.
Lower bound valid for all uncoded placements and L ≥ K/2.
Gap between bounds is at most 2, independent of parameters.
Abstract
We study a multi-access variant of the popular coded caching framework, which consists of a central server with a catalog of files, caches with limited memory , and users such that each user has access to consecutive caches with a cyclic wrap-around and requests one file from the central server's catalog. The server assists in file delivery by transmitting a message of size over a shared error-free link and the goal is to characterize the optimal rate-memory trade-off. This setup was studied previously by Hachem et al., where an achievable rate and an information-theoretic lower bound were derived. However, the multiplicative gap between them was shown to scale linearly with the access degree and thus order-optimality could not be established. A series of recent works have used a natural mapping of the coded caching problem to the well-known index coding…
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