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 …
Full-duplex nonorthogonal multiple access with layers-based optimized mobile relays subsets algorithm in B5G/6G ubiquitous networks
H Huang, S Hu, T Yang, C Yuan - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In view of noteworthy communications performance improvements for future B5G/6G
ubiquitous networks (such as cognitive Internet of Things (IoT) network, UAV …
ubiquitous networks (such as cognitive Internet of Things (IoT) network, UAV …
Distributed spectrum and power allocation for D2D-U networks: a scheme based on NN and federated learning
In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled
network is studied. To improve the spectrum efficiency (SE) on the unlicensed bands and fit …
network is studied. To improve the spectrum efficiency (SE) on the unlicensed bands and fit …
Generalized relays subsets selection algorithm in cloud-based 6G large-scale relays network
H Huang, S Hu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this article, in order to substantially improve outage probability (OP), we propose a
generalized optimal relays subsets selection algorithm in a cloud-based 6G large-scale …
generalized optimal relays subsets selection algorithm in a cloud-based 6G large-scale …
面向工业互联网的5G-U 与时间敏感网络融合架构与技术
蔡岳平， 李栋， 许驰， 王振， 张潇文 - 通信学报, 2021 - infocomm-journal.com
工业互联网是工业4.0 的关键使能技术, 而网络是工业互联网的基础. 首先分析了典型工业互联网
业务流量类型和需求, 以及时间敏感网络(TSN) 和5G-U 作为工业互联网网络的适配性; …
业务流量类型和需求, 以及时间敏感网络(TSN) 和5G-U 作为工业互联网网络的适配性; …
Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution
The meta distribution as a new performance metric can provide much more fine-grained
information about the individual link reliability, and is of great value for the analysis and …
information about the individual link reliability, and is of great value for the analysis and …
AoU-Based Local Update and User Scheduling for Semi-Asynchronous Online Federated Learning in Wireless Networks
J Zheng, X Liu, Z Ling, F Hu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the advent of the 5G and 6G eras and the explosive growth of mobile users, machine
learning (ML) is increasingly used for extracting important information from a large amount of …
learning (ML) is increasingly used for extracting important information from a large amount of …
A comparative analysis of Wi-Fi offloading and cooperation in small-cell network
Small cells deliver cost-effective capacity and coverage enhancement in a cellular network.
In this work, we present the interplay of two technologies, namely Wi-Fi offloading and small …
In this work, we present the interplay of two technologies, namely Wi-Fi offloading and small …
Quality of service‐aware coexistence in unlicensed 5G new radio based on time‐domain virtualization
The deployment of mobile systems is facing several challenges. Precisely, the lack of
available licensed bands limits the network capacity, affecting the quality of service (QoS) …
available licensed bands limits the network capacity, affecting the quality of service (QoS) …
Deep reinforcement learning–based multi–channel spectrum sharing technology for next generation multi–operator cellular networks
The mobile network operators (MNOs) need to efficiently utilize spectrum resources to meet
increasing user demands for massive and ubiquitous connectivity. The licensed spectrum …
increasing user demands for massive and ubiquitous connectivity. The licensed spectrum …