Vector Coded Caching Multiplicatively Boosts the Throughput of Realistic Downlink Systems
Hui Zhao, Antonio Bazco-Nogueras, Petros Elia

TL;DR
This paper demonstrates that vector coded caching significantly enhances the throughput of realistic multi-antenna downlink systems by leveraging receiver caches, with gains up to 430% under practical conditions.
Contribution
It provides a large-matrix analysis of vector coded caching in realistic wireless downlink systems, deriving closed-form expressions and demonstrating substantial throughput improvements.
Findings
Up to 430% throughput boost with vector coded caching.
Vector caching accelerates channel hardening and feedback acquisition.
Simple precoding schemes achieve notable gains.
Abstract
The recent introduction of vector coded caching has revealed that multi-rank transmissions in the presence of receiver-side cache content can dramatically ameliorate the file-size bottleneck of coded caching and substantially boost performance in error-free wire-like channels. We here employ large-matrix analysis to explore the effect of vector coded caching in realistic wireless multi-antenna downlink systems. Our analysis answers a simple question: Under a fixed set of antenna and SNR resources, and a given downlink MISO system which can already enjoy an optimized exploitation of multiplexing and beamforming gains, what is the multiplicative boost in the throughput when we are now allowed to occasionally add content inside reasonably-sized receiver-side caches? The derived closed-form expressions capture various linear precoders, and a variety of practical considerations such as power…
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.
Taxonomy
TopicsCooperative Communication and Network Coding · Caching and Content Delivery · Advanced MIMO Systems Optimization
