A Review on AI-Enabled Content Caching in Vehicular Edge Caching and Networks-Reference-Cited by-同舟云学术

A Review on AI-Enabled Content Caching in Vehicular Edge Caching and Networks

Published:2023-02-20 Issue: Volume: Page:
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Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
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Author:

Masood Arooj¹,Tuan Do Quang¹,Lakew Demeke Shumeye¹,Dao Nhu-Ngoc¹,Cho Sungrae¹

Affiliation:

1. School of Computer Science and Engineering, Chung-Ang University,Seoul,Republic of Korea

Funder

National Research Foundation of Korea(NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10067094.pdf?arnumber=10067094

Reference17 articles.

1. Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

2. A joint optimization scheme of content caching and resource allocation for internet of vehicles in mobile edge computing;zhang;Journal of cloud computing,2020

3. Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution

4. Intelligent Caching for Mobile Video Streaming in Vehicular Networks with Deep Reinforcement Learning

5. Collaborative Edge Computing and Caching in Vehicular Networks

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1. A joint optimization of resource allocation management and multi-task offloading in high-mobility vehicular multi-access edge computing networks;Ad Hoc Networks;2025-01

2. Privacy-preserving intelligent content-caching scheme in heterogeneous aerial access networks;Expert Systems with Applications;2024-06

3. FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15