Five facets of 6G: Research challenges and opportunities
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 …
turned their attention to the exploration of radical next-generation solutions. At this early …
A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …
generation (6G) mobile communication networks, ultrareliable and low-latency …
Cellular traffic prediction with machine learning: A survey
W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …
support billions of mobile users and devices. Powered by artificial intelligence techniques …
Contour stella image and deep learning for signal recognition in the physical layer
The rapid development of communication systems poses unprecedented challenges, eg,
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
handling exploding wireless signals in a real-time and fine-grained manner. Recent …
Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
A mini-review of machine learning in big data analytics: Applications, challenges, and prospects
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …
available unprecedented massive amount of data. The capability to process these gigantic …
Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot
W Jia, Y Tian, R Luo, Z Zhang, J Lian… - Computers and Electronics …, 2020 - Elsevier
In order to better apply the good performance of feature extraction and target detection used
in deep learning to fruit detection in orchards, a model of harvesting robot vision detector …
in deep learning to fruit detection in orchards, a model of harvesting robot vision detector …
A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning
D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …
radio technology is expected to further revolutionise our everyday lives by enabling a high …
Distributed machine learning for wireless communication networks: Techniques, architectures, and applications
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
learning, and distributed reinforcement learning, have been increasingly applied to wireless …
未来网络技术与发展趋势综述
黄韬， 刘江， 汪硕， 张晨， 刘韵洁 - 通信学报, 2021 - infocomm-journal.com
对面向2030 的未来网络领域的发展趋势进行了综述. 首先, 介绍了网络体系架构和试验设施领域
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …
的研究进展; 其次, 从网络控制与编排, 网络深度可编程, 网络确定性服务, 网络计算存储一体化 …