The Optimal Memory-Rate Trade-off for the Non-uniform Centralized Caching Problem with Two Files under Uncoded Placement
Saeid Sahraei, Pierre Quinton, Michael Gastpar

TL;DR
This paper introduces an optimal caching scheme for two files with non-uniform demand, achieving the best possible memory-rate trade-off by combining equal sub-packetization, popularity-based cache allocation, and interference alignment.
Contribution
It presents a novel caching and delivery strategy that is optimal for two files with arbitrary popularity distributions under uncoded placement.
Findings
Achieves the optimal expected memory-rate trade-off for two files with non-uniform demands.
Develops a new delivery scheme based on interference alignment.
Extends converse bounds to non-uniform demand scenarios.
Abstract
A new scheme for the problem of centralized coded caching with non-uniform demands is proposed. The distinguishing feature of the proposed placement strategy is that it admits equal sub-packetization for all files while allowing the users to allocate more cache to the files which are more popular. This creates natural broadcasting opportunities in the delivery phase which are simultaneously helpful for the users who have requested files of different popularities. For the case of two files, we propose a new delivery strategy based on interference alignment which enables each user to decode his desired file following a two-layer peeling decoder. Furthermore, we extend the existing converse bounds for uniform demands under uncoded placement to the nonuniform case. To accomplish this, we construct auxiliary users, corresponding to all permutations of the files, each caching…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
