Optimal learning paradigm and clustering for effective radio resource management in 5G HetNets
MU Iqbal, EA Ansari, S Akhtar, M Farooq-i-Azam… - IEEE …, 2023 - ieeexplore.ieee.org
Ultra-dense heterogeneous networks (UDHN) based on small cells are a requisite part of
the future cellular networks as they are proposed as one of the enabling technologies to …
the future cellular networks as they are proposed as one of the enabling technologies to …
Improving the QoS in 5G HetNets through cooperative Q-learning
Heterogeneous networks are an integral part of the 5G cellular networks as they are one of
the important enabling technologies for increased coverage and capacity. However …
the important enabling technologies for increased coverage and capacity. However …
Interference mitigation in HetNets to improve the QoS using Q-learning
MU Iqbal, EA Ansari, S Akhtar - IEEE Access, 2021 - ieeexplore.ieee.org
Small cells (SCs) based ultra-dense heterogeneous networks (HetNets) are one of the
promising solutions for increased coverage and capacity in 5G cellular networks. However …
promising solutions for increased coverage and capacity in 5G cellular networks. However …
QoS-aware resource allocation of two-tier HetNet: A Q-learning approach
W AlSobhi, AH Aghvami - 2019 26th International Conference …, 2019 - ieeexplore.ieee.org
Data applications account for the magnitude of traffic generated in the Cellular Networks. To
meet the ever-increasing traffic demand, advancement in resource allocation is crucial …
meet the ever-increasing traffic demand, advancement in resource allocation is crucial …
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 …
Improved decentralized fuzzy Q-learning for interference reduction in heterogeneous LTE-networks
Recently, the concept of Self Organizing Networks (SON) has received significant attention
in the context of Heterogeneous Networks (HetNets) to overcome indoor coverage problems …
in the context of Heterogeneous Networks (HetNets) to overcome indoor coverage problems …
A machine learning approach for power allocation in HetNets considering QoS
R Amiri, H Mehrpouyan, L Fridman… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
There is an increase in usage of smaller cells or femtocells to improve performance and
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
[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 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 …
Reinforcement learning based interference control scheme in heterogeneous networks
Heterogeneous networks (HetNet) guarantee higher throughput and lower latency than
traditional homogeneous network environments. In order to guarantee such performance …
traditional homogeneous network environments. In order to guarantee such performance …