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 …
Semi-supervised federated learning over heterogeneous wireless iot edge networks: Framework and algorithms
Federated learning (FL) is a promising paradigm for future sixth-generation wireless systems
to underpin network edge intelligence for smart cities applications. However, most of the …
to underpin network edge intelligence for smart cities applications. However, most of the …
Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach-A Review
P Kamble, AN Shaikh - … on Advancements in Smart Computing and …, 2022 - Springer
Currently, the number of mobile devices is growing exponentially. To cope with the demand,
a highly efficient network is required. This rising need for high-speed mobile data rates of up …
a highly efficient network is required. This rising need for high-speed mobile data rates of up …
DRL-Based joint RAT association, power and bandwidth optimization for future HetNets
Multi-radio access technologies (RATs) networks, where various heterogeneous networks
(HetNets) coexist, are in service nowadays and considered a main enabling technology for …
(HetNets) coexist, are in service nowadays and considered a main enabling technology for …
Multi-task DRL for rate control in RIS-assisted multi-cell dual-connectivity HetNets
A Alwarafy, M Abdallah, N Al-Dhahir… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Reconfigurable Intelligent Surface (RIS) has recently emerged as an enabling technology to
enhance reliability and overcome blockage in future heterogeneous wireless networks …
enhance reliability and overcome blockage in future heterogeneous wireless networks …
Deep Reinforcement Learning for Radio Resource Management in Future AI-Driven HetNets
A Alwarafy - 2022 - search.proquest.com
Future wireless networks are expected to be extremely complex due to their massive
heterogeneity in terms of the types of network architectures they integrate, types of emerging …
heterogeneity in terms of the types of network architectures they integrate, types of emerging …