A survey on applications of deep reinforcement learning in resource management for 5G heterogeneous networks
YL Lee, D Qin - 2019 Asia-Pacific Signal and Information …, 2019 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) have been regarded as the key technology for fifth
generation (5G) communications to support the explosive growth of mobile traffics. By …
generation (5G) communications to support the explosive growth of mobile traffics. By …
[HTML][HTML] Energy-efficient joint resource allocation in 5G HetNet using multi-agent parameterized deep reinforcement learning
Small cells are a promising technique to improve the capacity and throughput of future
wireless networks. However, user association and power allocation in heterogeneous …
wireless networks. However, user association and power allocation in heterogeneous …
A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …
different communication environments are expected to be satisfied. As a new evolution …
Deep reinforcement learning for resource allocation in 5G communications
The rapid growth of data traffic has pushed the mobile telecommunication industry towards
the adoption of fifth generation (5G) communications. Cloud radio access network (CRAN) …
the adoption of fifth generation (5G) communications. Cloud radio access network (CRAN) …
Traffic offloading and power allocation for green HetNets using reinforcement learning method
B Gu, Y Wei, X Liu, M Song… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In order to satisfy the boosting mobile traffic demand, the deployment of small cells has been
regarded as a feasible solution. But the growth of network infrastructure leads to a …
regarded as a feasible solution. But the growth of network infrastructure leads to a …
The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
AI-based radio resource allocation in support of the massive heterogeneity of 6G networks
There is a consensus in industry and academia that 6G wireless networks will incorporate
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
Deep reinforcement learning for user association and resource allocation in heterogeneous networks
Heterogeneous networks (HetNets) can offload the traffic and reduce the deployment cost,
which is regarded as a promising technique in next-generation cellular networks. Because …
which is regarded as a promising technique in next-generation cellular networks. Because …
Deep reinforcement learning for edge computing and resource allocation in 5G beyond
Y Dai, D Xu, K Zhang, Y Lu… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
By extending computation capacity to the edge of wireless networks, edge computing has
the potential to enable computation-intensive and delay-sensitive applications in 5G and …
the potential to enable computation-intensive and delay-sensitive applications in 5G and …
A power allocation scheme based on deep reinforcement learning in HetNets
Q Su, B Li, C Wang, C Qin… - … international conference on …, 2020 - ieeexplore.ieee.org
Femtocells are being increasingly deployed to meet the capacity requirements of the next-
generation heterogeneous mobile networks (HetNets). However, co-channel interference …
generation heterogeneous mobile networks (HetNets). However, co-channel interference …
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