Interference management in 5G and beyond networks: A comprehensive survey
During the last decade, wireless data services have had an incredible impact on people's
lives in ways we could never have imagined. The number of mobile devices has increased …
lives in ways we could never have imagined. The number of mobile devices has increased …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
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 …
A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions
Abstract The fifth-generation (5G) network is considered a game-changing technology that
promises advanced connectivity for businesses and growth opportunities. To gain a …
promises advanced connectivity for businesses and growth opportunities. To gain a …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
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 …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
Federated deep reinforcement learning for the distributed control of NextG wireless networks
Next Generation (NextG) networks are expected to support demanding tactile internet
applications such as augmented reality and connected autonomous vehicles. Whereas …
applications such as augmented reality and connected autonomous vehicles. Whereas …
Saving energy and spectrum in enabling URLLC services: A scalable RL solution
Communication systems supporting cyber-physical production applications should satisfy
stringent delay and reliability requirements. Diversity techniques and power control are the …
stringent delay and reliability requirements. Diversity techniques and power control are the …
Unveiling the Potential of Artificial Intelligence and Machine Learning in the 5G Network Landscape: A Comprehensive Review
S Rizvi - Asian Journal of Research in Computer …, 2023 - publications.article4sub.com
Exploring successful case studies, scholars and industry experts concur that artificial
intelligence (AI) and 5G technology, as holistic solutions, exhibit remarkable efficiency. The …
intelligence (AI) and 5G technology, as holistic solutions, exhibit remarkable efficiency. The …
Deep reinforcement learning based resource allocation in delay-tolerance-aware 5G Industrial IoT systems
With the widespread application of 5G technology in the Industrial Internet of Things (IIoT),
dividing nodes into different network slices according to delay tolerance requirements can …
dividing nodes into different network slices according to delay tolerance requirements can …