Resource Allocation With Edge-Cloud Collaborative Traffic Prediction in Integrated Radio and Optical Networks
By integrating communications in different domains, integrated radio and optical networks can serve a wider range of applications and services. Integrated radio and optical network scenarios will involve more weak-computation-ability network nodes, such as small-cell base stations. To pursue efficie...
Saved in:
| Main Authors: | Bowen Bao, Hui Yang, Qiuyan Yao, Lin Guan, Jie Zhang, Mohamed Cheriet |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10018214/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks
by: Rehenuma Tasnim Rodoshi, et al.
Published: (2025-01-01) -
SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception
by: Ruyu Liu, et al.
Published: (2025-06-01) -
Cloud–Edge Collaborative Learning and Model Compression Framework for Communication-Assisted Human Action Recognition
by: Bo Gao, et al.
Published: (2025-05-01) -
Edge caching strategy based on multi-agent deep reinforcement learning in cloud-edge-end scenarios
by: WANG Haiyan, et al.
Published: (2025-06-01) -
A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems
by: Yukun Niu, et al.
Published: (2025-07-01)