Edge caching strategy based on multi-agent deep reinforcement learning in cloud-edge-end scenarios
In cloud-edge-end scenarios, edge caching technology aims to promote collaborative content distribution among edge nodes, thereby alleviating the traffic load on backhaul links and enhancing service quality. Considering the dynamic changes in content popularity, a time convolution network based cont...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2025-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025108/ |
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