A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges

Y Xu, G Gui, H Gacanin, F Adachi - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …

AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

6G and beyond: The future of wireless communications systems

IF Akyildiz, A Kak, S Nie - IEEE access, 2020 - ieeexplore.ieee.org
6G and beyond will fulfill the requirements of a fully connected world and provide ubiquitous
wireless connectivity for all. Transformative solutions are expected to drive the surge for …

6G: Opening new horizons for integration of comfort, security, and intelligence

G Gui, M Liu, F Tang, N Kato… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
The innovations provided by sixth generation wireless communication (6G) as compared to
fifth generation (5G) are considered in this article based on analysis of related works. With …

6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

Enabling joint communication and radar sensing in mobile networks—A survey

JA Zhang, ML Rahman, K Wu, X Huang… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

[PDF][PDF] 6G 移动通信技术展望

张平, 牛凯, 田辉, 聂高峰, 秦晓琦… - Journal on …, 2019 - lynchpin.com.cn
为满足人类更深层次的智能通信需求, 6G 将实现从真实世界到虚拟世界的延拓. 为此提出了6G
需要解决“人− 机− 物− 灵” 的问题, 设计了6G 演进的双世界架构, 该架构将支持6G …

Ten challenges in advancing machine learning technologies toward 6G

N Kato, B Mao, F Tang, Y Kawamoto… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …