학술논문

Coded Caching for Two-Dimensional Multi-Access Networks With Cyclic Wrap Around
Document Type
Periodical
Source
IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 70(1):30-50 Jan, 2024
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Manganese
Servers
Topology
Network topology
Load modeling
Costs
Wireless communication
Coded caching
multi-access coded caching
two-dimensional (2D) network
placement delivery array (PDA)
Language
ISSN
0018-9448
1557-9654
Abstract
This paper studies a novel multi-access coded caching (MACC) model in the two-dimensional (2D) topology, which is a generalization of the one-dimensional (1D) MACC model proposed by Hachem et al. The 2D MACC model is formed by a server containing $N$ files, $K_{1}\times K_{2}$ cache-nodes with $M$ files located at a grid with $K_{1}$ rows and $K_{2}$ columns, and $K_{1}\times K_{2}$ cache-less users where each user is connected to $L^{2}$ nearby cache-nodes. The server is connected to the users through an error-free shared link, while the users can retrieve the cached content of the connected cache-nodes without cost. Our objective is to minimize the worst-case transmission load over all possible users’ demands. In this paper, we first propose a grouping scheme for the case where $K_{1}$ and $K_{2}$ are divisible by $L$ . By partitioning the cache-nodes and users into $L^{2}$ groups such that no two users in the same group share any cache-node, we use the shared-link coded caching scheme proposed by Maddah-Ali and Niesen for each group. Then for any model parameters satisfying $\min \{K_{1},K_{2}\}\geq L$ , we propose a transformation approach which constructs a 2D MACC scheme from two classes of 1D MACC schemes in vertical and horizontal projections, respectively. As a result, we can construct 2D MACC schemes that achieve maximum local caching gain and improved coded caching gain, compared to the baseline scheme by a direct extension from 1D MACC schemes. In addition, we propose new information theoretic converse bounds under the uncoded placement constraint by leveraging the network topology.