# A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

arXiv: https://arxiv.org/abs/1703.10750 · HTML: https://mlsanity.com/paper/1703.10750/

## Key facts

- Cited by 12 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Mar 2017.

## Built on by (most cited first, 12 of 12)

- [Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning](https://mlsanity.com/paper/2101.05885/) (2021)
- [A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques](https://mlsanity.com/paper/2302.08571/) (2023)
- [A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data](https://mlsanity.com/paper/2203.12674/) (2022)
- [Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence](https://mlsanity.com/paper/2407.15320/) (2024)
- [Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation](https://mlsanity.com/paper/2402.16866/) (2024)
- [Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning](https://mlsanity.com/paper/2407.02342/) (2024)
- [Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing](https://mlsanity.com/paper/2104.07539/) (2021)
- [Learning-based decentralized offloading decision making in an adversarial environment](https://mlsanity.com/paper/2104.12827/) (2021)
- [Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks](https://mlsanity.com/paper/2108.06817/) (2021)
- [Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control](https://mlsanity.com/paper/2212.13141/) (2022)
- [MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems](https://mlsanity.com/paper/2508.17341/) (2025)
- [When Simultaneous Localization and Mapping Meets Wireless Communications: A Survey](https://mlsanity.com/paper/2602.06995/) (2026)

## Abstract (arXiv)

As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture cannot accommodate such user demands due to heavy burden on the backhaul links and long latency. Therefore, new architectures which bring network functions and contents to the network edge are proposed, i.e., mobile edge computing and caching. Mobile edge networks provide cloud computing and caching capabilities at the edge of cellular networks. In this survey, we make an exhaustive review on the state-of-the-art research efforts on mobile edge networks. We first give an overview of mobile edge networks including definition, architecture and advantages. Next, a comprehensive survey of issues on computing, caching and communication techniques at the network edge is presented respectively. The applications and use cases of mobile edge networks are discussed. Subsequently, the key enablers of mobile edge networks such as cloud technology, SDN/NFV and smart devices are discussed. Finally, open research challenges and future directions are presented as well.