Artificial intelligence (AI) and machine learning (ML) for beyond 5G/6G communications
Over the past few years, we have seen there is huge growth with new opportunities in using
digital technologies for a wide range of services across modern society and across the …
digital technologies for a wide range of services across modern society and across the …
Deep learning techniques for advancing 6G communications in the physical layer
As current 5G communication systems cannot fulfill the stringent requirements brought by
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …
[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …
supporting a broad range of complex compelling applications both in military and civilian …
[引用][C] Guest editorial: Deep learning‐based intelligent communication systems: Using big data analytics
Deep learning and big data analytics can be attributed to recent trends and opportunities in
many research activities and areas such as bioinformatics, beyond 5G and 6G …
many research activities and areas such as bioinformatics, beyond 5G and 6G …
5G wireless networks meet big data challenges, trends, and applications
C Zhu, X Cheng, H Ye, J Yang, L Xu… - 2019 IEEE SmartWorld …, 2019 - ieeexplore.ieee.org
The next-generation (5G) wireless networks have been evolving into very complex systems
due to the diversified service requirements, heterogeneity in applications, devices, and …
due to the diversified service requirements, heterogeneity in applications, devices, and …
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 …
Overview of distributed machine learning techniques for 6G networks
The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …
connected devices. The unprecedented surge of data volume in wireless systems …
Machine learning: The panacea for 5g complexities
NH Kumar, S Baskaran - Journal of ICT Standardization, 2019 - ieeexplore.ieee.org
It's not a myth that transition in next generation technology brings with it a set of exciting
applications as well as challenges to the telecom ecosystem and in-turn paves way for new …
applications as well as challenges to the telecom ecosystem and in-turn paves way for new …
[HTML][HTML] Pervasive intelligent endogenous 6G wireless systems: Prospects, theories and key technologies
The worldwide large-scale commercial deployment of 5G has commenced in 2020 for
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …
supporting enhanced Mobile BroadBand (eMBB), ultra-Reliable and Low-Latency …