Multi-agent reinforcement learning based dynamic optimization algorithm of CRE offset for heterogeneous networks
To cope with the high throughput demand caused by the proliferation of wireless network users, a multi-agent reinforcement learning based dynamic optimization algorithm of cell range expansion (CRE) offset was proposed for interference scenarios in macro-pico heterogeneous networks.Based on the valu...
Saved in:
Main Authors: | Cheng ZHANG, Jiaye ZHU, Zening LIU, Yongming HUANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2023-12-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023235/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning
by: Anatolii Borzilov, et al.
Published: (2025-01-01) -
Heterogeneous resource cooperative game in space-ground computing power network
by: Yutong ZHANG, et al.
Published: (2023-12-01) -
Distributed interference coordination based on multi-agent deep reinforcement learning
by: Tingting LIU, et al.
Published: (2020-07-01) -
Heterogeneous Wireless Network Resource Management Algorithm Based on Reinforcement Learning
by: Chenwei Feng, et al.
Published: (2015-08-01) -
Reinforcement Learning-Based Autonomous Soccer Agents: A Study in Multi-Agent Coordination and Strategy Development
by: Biplov Paneru, et al.
Published: (2025-01-01)