English

Coded Caching Schemes for Multiaccess Topologies via Combinatorial Design

Information Theory 2023-11-01 v1 math.IT

Abstract

This paper studies a multiaccess coded caching (MACC) where the connectivity topology between the users and the caches can be described by a class of combinatorial designs. Our model includes as special cases several MACC topologies considered in previous works. The considered MACC network includes a server containing NN files, Γ\Gamma cache nodes and KK cacheless users, where each user can access LL cache nodes. The server is connected to the users via an error-free shared link, while the users can retrieve the cache content of the connected cache-nodes while the users can directly access the content in their connected cache-nodes. Our goal is to minimise the worst-case transmission load on the shared link in the delivery phase. The main limitation of the existing MACC works is that only some specific access topologies are considered, and thus the number of users KK should be either linear or exponential to Γ\Gamma. We overcome this limitation by formulating a new access topology derived from two classical combinatorial structures, referred to as the tt-design and the tt-group divisible design. In these topologies, KK scales linearly, polynomially, or even exponentially with Γ\Gamma. By leveraging the properties of the considered combinatorial structures, we propose two classes of coded caching schemes for a flexible number of users, where the number of users can scale linearly, polynomially or exponentially with the number of cache nodes. In addition, our schemes can unify most schemes for the shared link network and unify many schemes for the multi-access network except for the cyclic wrap-around topology.

Keywords

Cite

@article{arxiv.2310.20239,
  title  = {Coded Caching Schemes for Multiaccess Topologies via Combinatorial Design},
  author = {Minquan Cheng and Kai Wan and Petros Elia and Giuseppe Caire},
  journal= {arXiv preprint arXiv:2310.20239},
  year   = {2023}
}

Comments

48 pages

R2 v1 2026-06-28T13:07:03.648Z