254 citations · 399 across the 23 of their papers we have counts for
31 papers
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu, Nan Chen, Conghao Zhou +4
In this paper, we investigate a radio access network (RAN) slicing problem for Internet of vehicles (IoV) services with different quality of service (QoS) requirements, in which mu…
MAC for Machine Type Communications in Industrial IoT -- Part II: Scheduling and Numerical Results
Jie Gao, Mushu Li, Weihua Zhuang +3
In the second part of this paper, we develop a centralized packet transmission scheduling scheme to pair with the protocol designed in Part I and complete our medium access control…
MAC for Machine Type Communications in Industrial IoT -- Part I: Protocol Design and Analysis
Jie Gao, Weihua Zhuang, Mushu Li +3
In this two-part paper, we propose a novel medium access control (MAC) protocol for machine-type communications in the industrial internet of things. The considered use case featur…
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning
Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda +4
In advanced metering infrastructure (AMI), smart meters (SMs), which are installed at the consumer side, send fine-grained power consumption readings periodically to the electricit…
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks
Mushu Li, Jie Gao, Lian Zhao +1
Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications. In this paper,…
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
Conghao Zhou, Wen Wu, Hongli He +5
In this paper, we investigate a computing task scheduling problem in space-air-ground integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the consid…