Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions
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Abstract (arXiv)
Caching at the wireless edge is a promising way of boosting spectral efficiency and reducing energy consumption of wireless systems. These improvements are rooted in the fact that popular contents are reused, asynchronously, by many users. In this article, we first introduce methods to predict the popularity distributions and user preferences, and the impact of erroneous information. We then discuss the two aspects of caching systems, namely content placement and delivery. We expound the key differences between wired and wireless caching, and outline the differences in the system arising from where the caching takes place, e.g., at base stations, or on the wireless devices themselves. Special attention is paid to the essential limitations in wireless caching, and possible tradeoffs between spectral efficiency, energy efficiency and cache size.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Oct 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 4.
7 papers.
- 2024TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networkscited by 12
- 2024Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networkscited by 4
- 2024A Learning-Based Caching Mechanism for Edge Content Deliverycited by 3
- 2024Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systemscited by 2
- 2023Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networkscited by 1
- 2021A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networkscited by 0
- 2023Beamforming in Wireless Coded-Caching Systemscited by 0
- 2024TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks7 May 2024
- 2024Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems20 Apr 2024
- 2024Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks6 Feb 2024
- 2024A Learning-Based Caching Mechanism for Edge Content Delivery5 Feb 2024
- 2023Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks12 Nov 2023
- 2023Beamforming in Wireless Coded-Caching Systems11 Sep 2023
- 2021A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks12 May 2021