# Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users

## TL;DR

This paper proposes a caching and delivery scheme for cloud-RAN architectures with cache-enabled edge nodes and users, optimizing content delivery latency by leveraging cooperative transmission, multicasting, and limited fronthaul capacity.

## Contribution

It introduces a near-optimal caching and delivery scheme that characterizes the minimum normalized delivery time within a constant factor, considering caches and fronthaul constraints.

## Key findings

- Achieves a delivery latency within 1.5 times the optimal.
- Highlights the benefits of cooperative transmission and multicasting.
- Quantifies the impact of fronthaul capacity and cache sizes on latency.

## Abstract

This paper considers a cloud-RAN architecture with cache-enabled multi-antenna Edge Nodes (ENs) that deliver content to cache-enabled end-users. The ENs are connected to a central server via limited-capacity fronthaul links, and, based on the information received from the central server and the cached contents, they transmit on the shared wireless medium to satisfy users' requests. By leveraging cooperative transmission as enabled by ENs' caches and fronthaul links, as well as multicasting opportunities provided by users' caches, a close-to-optimal caching and delivery scheme is proposed. As a result, the minimum Normalized Delivery Time (NDT), a high-SNR measure of delivery latency, is characterized to within a multiplicative constant gap of $3/2$ under the assumption of uncoded caching and fronthaul transmission, and of one-shot linear precoding. This result demonstrates the interplay among fronthaul links capacity, ENs' caches, and end-users' caches in minimizing the content delivery time.