Learning-based resource allocation in heterogeneous ultradense network

X Zhang, Z Zhang, L Yang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Learning-based resource allocation (LRA) is envisioned as an integral element of 6G. This
article proposes a novel learning-based paradigm to address resource allocation problems …
被引用次数：11 相关文章

User association and power allocation based on Q-learning in ultra dense heterogeneous networks

D Li, H Zhang, K Long, W Huangfu… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Ultra dense heterogeneous network (UDHN) has become one of the main frameworks of 5G.
Traditional user association methods are difficult to satisfy this new scenario for load …
被引用次数：28 相关文章 所有 2 个版本
[PDF] arxiv.org

Joint user association and power allocation in heterogeneous ultra dense network via semi-supervised representation learning

X Zhang, Z Zhang, L Yang - arXiv preprint arXiv:2103.15367, 2021 - arxiv.org
Heterogeneous Ultra-Dense Network (HUDN) is one of the vital networking architectures
due to its ability to enable higher connectivity density and ultra-high data rates. Rational user …
被引用次数：13 相关文章 所有 2 个版本
[PDF] ieee.org

A joint power allocation and user association based on non-cooperative game theory in an heterogeneous ultra-dense network

A Khodmi, SB Rejeb, N Agoulmine, Z Choukair - IEEE Access, 2019 - ieeexplore.ieee.org
Driven by the increase of data traffic, a heterogeneous ultra-dense network (H-UDN)
constitute one of the most promising techniques to support the 5G mobile system. Ultra …
被引用次数：37 相关文章 所有 5 个版本

Energy efficient clustering and resource allocation strategy for ultra-dense networks: A machine learning framework

N Sharma, K Kumar - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
The ultra-dense network structure of 5G with dense femto-cells deployment, is identified as a
prospective way out for the problem of growing demand for cellular services. However …
被引用次数：7 相关文章 所有 2 个版本
[PDF] ieee.org

Optimal resource allocation considering non-uniform spatial traffic distribution in ultra-dense networks: A multi-agent reinforcement learning approach

E Kim, HH Choi, H Kim, J Na, H Lee - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, the demand for small cell base stations (SBSs) has been exploding to
accommodate the explosive increase in mobile data traffic. In ultra-dense small cell …
被引用次数：16 相关文章 所有 4 个版本
[PDF] ieee.org

A cluster-based energy-efficient resource management scheme for ultra-dense networks

L Liang, W Wang, Y Jia, S Fu - IEEE Access, 2016 - ieeexplore.ieee.org
Ultra-dense networks (UDNs), which can provide extremely high throughput and data rates,
have been considered as one of the key techniques for the fifth generation mobile networks …
被引用次数：100 相关文章 所有 4 个版本

Resource allocation for ultradense networks with machine-learning-based interference graph construction

J Cao, T Peng, X Liu, W Dong, R Duan… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The ultradense network (UDN) has been identified as a promising technology to address the
challenge of the ever increasing demands on data rates or massive accesses, especially for …
被引用次数：37 相关文章

Knowledge Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach

Z Huang, FR Yu, J Cai - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In future 6G-enabled Internet of Things (IoT), users and devices will be divided into
numerous distributed domains with smaller base station coverage due to the utilization of …
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Deep reinforcement learning based dynamic resource allocation in 5G ultra-dense networks

Z Liu, X Chen, Y Chen, Z Li - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The rapid development of Internet of things (IoT) technology has promoted the densification
of network infrastructure. Ultra-dense networks (UDN) will become a key technology in 5G …
被引用次数：32 相关文章 所有 2 个版本