# Wireless Caching: Technical Misconceptions and Business Barriers

arXiv: https://arxiv.org/abs/1602.00173 · HTML: https://mlsanity.com/paper/1602.00173/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Jan 2016.

## Built on by (most cited first, 7 of 7)

- [Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network](https://mlsanity.com/paper/2401.09886/) (2024)
- [Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning](https://mlsanity.com/paper/2208.09956/) (2022)
- [Online Caching with no Regret: Optimistic Learning via Recommendations](https://mlsanity.com/paper/2204.09345/) (2022)
- [Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning](https://mlsanity.com/paper/2309.01730/) (2023)
- [A Learning-Based Caching Mechanism for Edge Content Delivery](https://mlsanity.com/paper/2402.02795/) (2024)
- [Ascent Similarity Caching with Approximate Indexes](https://mlsanity.com/paper/2107.00957/) (2021)
- [Optimistic Learning for Communication Networks](https://mlsanity.com/paper/2504.03499/) (2025)

## Abstract (arXiv)

Caching is a hot research topic and poised to develop into a key technology for the upcoming 5G wireless networks. The successful implementation of caching techniques however, crucially depends on joint research developments in different scientific domains such as networking, information theory, machine learning, and wireless communications. Moreover, there exist business barriers related to the complex interactions between the involved stakeholders, the users, the cellular operators, and the Internet content providers. In this article we discuss several technical misconceptions with the aim to uncover enabling research directions for caching in wireless systems. Ultimately we make a speculative stakeholder analysis for wireless caching in 5G.