Adversarial Reinforcement Learning-Based Converged Communication Efficiency Improvement Method for Power Distribution Network
In order to satisfy the diversified communication requirements of terminal source nodes in power distribution network, it is necessary to optimize the communication orchestration in power distribution unified communication network. Firstly, we construct the joint optimization problem of data transmi...
Saved in:
| Main Authors: | Linyu PENG, Xu LIU, Wei TANG, Qing LIU, Hao FANG, Guanghui ZHANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-09-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202210068 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SDN Elastic Optical Network-based Intelligent Service Orchestration for Power Communication Network
by: KANG Zhongmiao, et al.
Published: (2024-06-01) -
A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning
by: Huihui XU, et al.
Published: (2025-05-01) -
Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems
by: Kohei Ohashi, et al.
Published: (2024-01-01) -
Covert communication method based on tripartite generative adversarial network
by: Jihong YU, et al.
Published: (2023-11-01) -
Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning
by: Jan Li, et al.
Published: (2025-01-01)