Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities
S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …
extremely diverse and challenging requirements. To fulfill such diverse requirements …
Komondor: A wireless network simulator for next-generation high-density WLANs
S Barrachina-Munoz, F Wilhelmi… - 2019 Wireless Days …, 2019 - ieeexplore.ieee.org
Komondor is a wireless network simulator for next-generation wireless local area networks
(WLANs). The simulator has been conceived as an accessible (ready-to-use) open source …
(WLANs). The simulator has been conceived as an accessible (ready-to-use) open source …
An SDN/NFV proof-of-concept test-bed for machine learning-based network management
Complexity and heterogeneity of the fifth generation (5G) and beyond mobile systems
impose a great challenge on current network managing approaches, which are vulnerable …
impose a great challenge on current network managing approaches, which are vulnerable …
Artificial intelligence and machine learning in 5G and beyond: a survey and perspectives
The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major
challenge of high capacities, to build real broadband mobile Internet. This was possible …
challenge of high capacities, to build real broadband mobile Internet. This was possible …
AI-assisted PHY technologies for 6G and beyond wireless networks
Machine Learning (ML) and Artificial Intelligence (AI) have become alternative approaches
in wireless networksbeside conventional approaches such as model based …
in wireless networksbeside conventional approaches such as model based …
Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
How degrading network conditions influence machine learning end systems performance?
As intelligent knowledge-based decision makers, Machine Learning (ML) end applications
highly depend on input data quality. Systems that integrate ML-end applications use …
highly depend on input data quality. Systems that integrate ML-end applications use …
HiveMind: Towards cellular native machine learning model splitting
The increasing processing load of today's mobile machine learning (ML) application
challenges the stringent computation budget of mobile user equipment (UE). With the wide …
challenges the stringent computation budget of mobile user equipment (UE). With the wide …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Can machine learning aid in delivering new use cases and scenarios in 5G?
5G represents the next generation of communication networks and services, and will bring a
new set of use cases and scenarios. These in turn will address a new set of challenges from …
new set of use cases and scenarios. These in turn will address a new set of challenges from …