Graph neural network for traffic forecasting: A survey
Traffic forecasting is important for the success of intelligent transportation systems. Deep
learning models, including convolution neural networks and recurrent neural networks, have …
learning models, including convolution neural networks and recurrent neural networks, have …
At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
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 …
[HTML][HTML] Software defined satellite networks: A survey
W Jiang - Digital Communications and Networks, 2023 - Elsevier
In recent years, satellite networks have been proposed as an essential part of next-
generation mobile communication systems. Software defined networking techniques are …
generation mobile communication systems. Software defined networking techniques are …
5G frequency standardization, technologies, channel models, and network deployment: Advances, challenges, and future directions
The rapid increase in data traffic caused by the proliferation of smart devices has spurred the
demand for extremely large-capacity wireless networks. Thus, faster data transmission rates …
demand for extremely large-capacity wireless networks. Thus, faster data transmission rates …
[HTML][HTML] IRATS: A DRL-based intelligent priority and deadline-aware online resource allocation and task scheduling algorithm in a vehicular fog network
Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are
high latency and massive data transmission in cloud-based processing. Vehicular fog …
high latency and massive data transmission in cloud-based processing. Vehicular fog …
A survey on wireless wearable body area networks: A perspective of technology and economy
The deployment of wearable or body-worn devices is increasing rapidly, and thus
researchers' interests mainly include technical and economical issues, such as networking …
researchers' interests mainly include technical and economical issues, such as networking …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
Federated split learning for sequential data in satellite–terrestrial integrated networks
W Jiang, H Han, Y Zhang, J Mu - Information Fusion, 2024 - Elsevier
Satellite–terrestrial integrated networks (STINs) have been proposed for B5G/6G mobile
communication, and the increase in the computation and communication capacities of …
communication, and the increase in the computation and communication capacities of …
Anomaly detection in industrial IoT using distributional reinforcement learning and generative adversarial networks
Anomaly detection is one of the biggest issues of security in the Industrial Internet of Things
(IIoT) due to the increase in cyber attack dangers for distributed devices and critical …
(IIoT) due to the increase in cyber attack dangers for distributed devices and critical …