Zero touch management: A survey of network automation solutions for 5G and 6G networks
E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Artificial intelligence and knowledge management: Impacts, benefits, and implementation
H Taherdoost, M Madanchian - Computers, 2023 - mdpi.com
The process of generating, disseminating, using, and managing an organization's
information and knowledge is known as knowledge management (KM). Conventional KM …
information and knowledge is known as knowledge management (KM). Conventional KM …
Federated learning for automatic modulation classification under class imbalance and varying noise condition
Automatic modulation classification (AMC) is a promising technology for identifying
modulation types, and deep learning (DL)-based AMC is one of its main research directions …
modulation types, and deep learning (DL)-based AMC is one of its main research directions …
[HTML][HTML] Development and innovation of enterprise knowledge management strategies using big data neural networks technology
Y Zhao, S Wen, T Zhou, W Liu, H Yu, H Xu - Journal of Innovation & …, 2022 - Elsevier
To strengthen the development of enterprises and optimize knowledge management
strategies, the current situation of enterprise knowledge management (EKM) is investigated …
strategies, the current situation of enterprise knowledge management (EKM) is investigated …
Wireless 2.0: Toward an intelligent radio environment empowered by reconfigurable meta-surfaces and artificial intelligence
H Gacanin, M Di Renzo - IEEE Vehicular Technology …, 2020 - ieeexplore.ieee.org
In this article, we introduce Wireless 2.0, the future generation of wireless communication
networks, in which the radio environment becomes controllable and intelligent by leveraging …
networks, in which the radio environment becomes controllable and intelligent by leveraging …
Deep learning-based automatic modulation recognition method in the presence of phase offset
Automatic modulation recognition (AMR) plays an important role in various communications
systems. It has the ability of adaptive modulation and can adapt to various complex …
systems. It has the ability of adaptive modulation and can adapt to various complex …
Deep learning for robust automatic modulation recognition method for IoT applications
T Zhang, C Shuai, Y Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
In the scenarios of non-cooperative wireless communications, automatic modulation
recognition (AMR) is an indispensable algorithm to recognize various types of signal …
recognition (AMR) is an indispensable algorithm to recognize various types of signal …
Smoothing-aided support vector machine based nonstationary video traffic prediction towards B5G networks
Video services have hold a surprising proportion of the whole network traffic in wireless
communication networks. Accurate prediction of video traffic can endow networks with …
communication networks. Accurate prediction of video traffic can endow networks with …
A study on deep learning for latency constraint applications in beyond 5G wireless systems
S Sritharan, H Weligampola, H Gacanin - IEEE Access, 2020 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communications has led to many advancements in
technologies such as large and distributed antenna arrays, ultra-dense networks, software …
technologies such as large and distributed antenna arrays, ultra-dense networks, software …
知识嵌入深度强化学习的6G 网络决策算法.
张亚林， 高晖， 粟欣， 刘蓓 - Journal of Chongqing University …, 2024 - search.ebscohost.com
为了保证6G 网络场景下用户的服务质量(quality of serviceꎬQoS) 时延以及解决深度强化学习(
deep reinforcement learningꎬDRL) 收敛时间较长的问题ꎬ 对云-边-端架构下的计算网络进行 …
deep reinforcement learningꎬDRL) 收敛时间较长的问题ꎬ 对云-边-端架构下的计算网络进行 …