Wireless Caching: Technical Misconceptions and Business Barriers
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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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Jan 2016.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 2; 2025: 1.
7 papers.
- 2024Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networkcited by 17
- 2022Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learningcited by 6
- 2022Online Caching with no Regret: Optimistic Learning via Recommendationscited by 4
- 2023Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learningcited by 4
- 2024A Learning-Based Caching Mechanism for Edge Content Deliverycited by 3
- 2021Ascent Similarity Caching with Approximate Indexescited by 2
- 2025Optimistic Learning for Communication Networkscited by 0
- 2025Optimistic Learning for Communication Networks4 Apr 2025
- 2024A Learning-Based Caching Mechanism for Edge Content Delivery5 Feb 2024
- 2024Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network18 Jan 2024
- 2023Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning4 Sep 2023
- 2022Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning21 Aug 2022
- 2022Online Caching with no Regret: Optimistic Learning via Recommendations20 Apr 2022
- 2021Ascent Similarity Caching with Approximate Indexes2 Jul 2021