MDS Codes Based Group Coded Caching in Fog Radio Access Networks
Qianli Tan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, and Xiaohu, You

TL;DR
This paper proposes an MDS code-based group coded caching scheme for fog radio access networks that reduces fronthaul rate by optimizing cache placement and delivery strategies considering nonuniform file popularity.
Contribution
It introduces a novel coded caching scheme combining MDS codes and file grouping, with a closed-form fronthaul rate expression and parameter optimization for improved performance.
Findings
Significant reduction in fronthaul rate compared to existing schemes
Effective utilization of MDS codes and file grouping in caching
Closed-form expression for average fronthaul rate
Abstract
In this paper, we investigate maximum distance separable (MDS) codes based group coded caching in fog radio access networks (F-RANs). The goal is to minimize the average fronthaul rate under nonuniform file popularity. Firstly, an MDS codes and file grouping based coded placement scheme is proposed to provide coded packets and allocate more cache to the most popular files simultaneously. Next, a fog access point (F-AP) grouping based coded delivery scheme is proposed to meet the requests for files from different groups. Furthermore, a closed-form expression of the average fronthaul rate is derived. Finally, the parameters related to the proposed coded caching scheme are optimized to fully utilize the gains brought by MDS codes and file grouping. Simulation results show that our proposed scheme obtains significant performance improvement over several existing caching schemes in terms of…
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
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
