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 …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Data-driven deep learning for automatic modulation recognition in cognitive radios

Y Wang, M Liu, J Yang, G Gui - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is an essential and challenging topic in the
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system

H Huang, J Yang, H Huang, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The recent concept of massive multiple-input multiple-output (MIMO) can significantly
improve the capacity of the communication network, and it has been regarded as a …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

[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 - infocomm-journal.com
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 …

Learning IoT in edge: Deep learning for the Internet of Things with edge computing

H Li, K Ota, M Dong - IEEE network, 2018 - ieeexplore.ieee.org
Deep learning is a promising approach for extracting accurate information from raw sensor
data from IoT devices deployed in complex environments. Because of its multilayer structure …

IEEE 802.11 be Wi-Fi 7: New challenges and opportunities

C Deng, X Fang, X Han, X Wang, L Yan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
With the emergence of 4k/8k video, the throughput requirement of video delivery will keep
grow to tens of Gbps. Other new high-throughput and low-latency video applications …

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …