Functional split of in-network deep learning for 6G: A feasibility study

J He, H Wu, X Xiao, R Bassoli… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In existing mobile network systems, the data plane (DP) is mainly considered a pipeline
consisting of network elements end-to-end forwarding user data traffics. With the rapid …

Deep learning era for future 6G wireless communications—theory, applications, and challenges

SKB Sangeetha, R Dhaya - Artificial intelligent techniques for …, 2022 - Wiley Online Library
Over hundreds of years have passed since wireless communication technology was first
introduced. The developers have made remarkable strides since 1880, including setting up …

Knowledge-driven deep learning paradigms for wireless network optimization in 6G

R Sun, N Cheng, C Li, F Chen, W Chen - IEEE Network, 2024 - ieeexplore.ieee.org
In the sixth-generation (6G) networks, newly emerging diversified services of massive users
in dynamic network environments are required to be satisfied by multi-dimensional …

Guest editorial: Edge intelligence for beyond 5G networks

Y Zhang, Z Feng, H Moustafa, F Ye… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Beyond fifth-generation (B5G) networks, or so-called “6G”, is the next-generation wireless
communications systems that will radically change how Society evolves. Edge intelligence is …

[HTML][HTML] Emerging techniques and applications for 5G networks and beyond

VD Nguyen, TQ Duong, QT Vien - Mobile Networks and Applications, 2020 - Springer
It is predicted that 50 billion devices will be connected to the Internet by 2020, and the
number of mobile-connected devices will exceed 11.5 billion by 2019. These growth …

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

A Comprehensive Review on Machine Learning-based Approaches for Next Generation Wireless Network

S Paul - SN Computer Science, 2024 - Springer
Rapid progress of wireless communication and networks plays a critical role in different
applications related to carrying out heterogeneous ever-increasing traffic in multimedia …