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 …

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 …

[PDF][PDF] 6G 移动通信网络: 愿景, 挑战与关键技术

赵亚军, 郁光辉, 徐汉青 - 中国科学: 信息科学, 2019 - arxiv.org
摘要随着5G 网络开启规模商业部署, 越来越多的研究机构及相关人员开始对下一代移动通信
系统进行研究. 本文将探讨十年后(2030 年~) 的6G 概念. 本文首先用四个关键词概括未来6G …

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 …

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 …

[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 …

Deep-learning-based millimeter-wave massive MIMO for hybrid precoding

H Huang, Y Song, J Yang, G Gui… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been
regarded to be an emerging solution for the next generation of communications, in which …

Flight delay prediction based on aviation big data and machine learning

G Gui, F Liu, J Sun, J Yang, Z Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions

SK Sharma, X Wang - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …

Optimizing space-air-ground integrated networks by artificial intelligence

N Kato, ZM Fadlullah, F Tang, B Mao… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
It is widely acknowledged that the development of traditional terrestrial communication
technologies cannot provide all users with fair and high quality services due to scarce …