# Edge-Caching Wireless Networks: Performance Analysis and Optimization

**Authors:** Thang X. Vu, Symeon Chatzinotas, Bjorn Ottersten

arXiv: 1705.05590 · 2018-02-08

## TL;DR

This paper analyzes and optimizes edge-caching wireless networks by integrating caching strategies with physical layer design, deriving performance metrics, and proposing optimization methods for energy efficiency and delivery time.

## Contribution

It introduces a unified analysis of uncoded and coded caching strategies considering both base station and user caches, with new formulas and optimization techniques.

## Key findings

- Coded caching improves backhaul and access rates.
- Energy efficiency is maximized through precoding optimization.
- Delivery time is minimized with proposed algorithms.

## Abstract

Edge-caching has received much attention as an efficient technique to reduce delivery latency and network congestion during peak-traffic times by bringing data closer to end users. Existing works usually design caching algorithms separately from physical layer design. In this paper, we analyse edge-caching wireless networks by taking into account the caching capability when designing the signal transmission. Particularly, we investigate multi-layer caching where both base station (BS) and users are capable of storing content data in their local cache and analyse the performance of edge-caching wireless networks under two notable uncoded and coded caching strategies. Firstly, we propose a coded caching strategy that is applied to arbitrary values of cache size. The required backhaul and access rates are derived as a function of the BS and user cache size. Secondly, closed-form expressions for the system energy efficiency (EE) corresponding to the two caching methods are derived. Based on the derived formulas, the system EE is maximized via precoding vectors design and optimization while satisfying a predefined user request rate. Thirdly, two optimization problems are proposed to minimize the content delivery time for the two caching strategies. Finally, numerical results are presented to verify the effectiveness of the two caching methods.

## Full text

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## Figures

14 figures with captions in the complete paper: https://tomesphere.com/paper/1705.05590/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/1705.05590/full.md

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Source: https://tomesphere.com/paper/1705.05590