254 citations · 917 across the 42 of their papers we have counts for
42 papers
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study
Yinqiu Liu, Hongyang Du, Dusit Niyato +4
As the next-generation paradigm for content creation, AI-Generated Content (AIGC), i.e., generating content automatically by Generative AI (GAI) based on user prompts, has gained g…
Digital Twin-Assisted Resource Demand Prediction for Multicast Short Video Streaming
Xinyu Huang, Wen Wu, Xuemin Sherman Shen
In this paper, we propose a digital twin (DT)-assisted resource demand prediction scheme to enhance prediction accuracy for multicast short video streaming. Particularly, we constr…
Performance Analysis and Enhancement of Beamforming Training in 802.11ad
Wen Wu, Nan Cheng, Ning Zhang +4
Beamforming (BF) training is crucial to establishing reliable millimeter-wave communication connections between stations (STAs) and an access point. In IEEE 802.11ad BF training pr…
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin, Shen, Jie Gao +4
In this tutorial paper, we look into the evolution and prospect of network architecture and propose a novel conceptual architecture for the 6th generation (6G) networks. The propos…
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal multiple access (NOMA) into an on-demand universal framework, this paper proposes a novel rec…
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…
Federated Learning in Multi-RIS Aided Systems
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
This paper investigates the problem of model aggregation in federated learning systems aided by multiple reconfigurable intelligent surfaces (RISs). The effective integration of co…
DDPG-based Resource Management for MEC/UAV-Assisted Vehicular Networks
Haixia Peng, Xuemin Shen
In this paper, we investigate joint vehicle association and multi-dimensional resource management in a vehicular network assisted by multi-access edge computing (MEC) and unmanned…
Private, Fair, and Verifiable Aggregate Statistics for Mobile Crowdsensing in Blockchain Era
Miao He, Jianbing Ni, Dongxiao Liu +3
In this paper, we propose FairCrowd, a private, fair, and verifiable framework for aggregate statistics in mobile crowdsensing based on the public blockchain. In specific, mobile u…
Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications
Meilin Gao, Bo Ai, Yong Niu +5
Future railway is expected to accommodate both train operation services and passenger broadband services. The millimeter wave (mmWave) communication is a promising technology in pr…
Low-Latency and Fresh Content Provision in Information-Centric Vehicular Networks
Shan Zhang, Junjie Li, Hongbin Luo +4
In this paper, the content service provision of information-centric vehicular networks (ICVNs) is investigated from the aspect of mobile edge caching, considering the dynamic drivi…
A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks
Omar Alhussein, Phu Thinh Do, Qiang Ye +7
The paradigm of network function virtualization (NFV) with the support of software defined networking (SDN) emerges as a promising approach for customizing network services in fift…
The Design of Dynamic Probabilistic Caching with Time-Varying Content Popularity
Jie Gao, Shan Zhang, Lian Zhao +2
In this paper, we design dynamic probabilistic caching for the scenario when the instantaneous content popularity may vary with time while it is possible to predict the average con…
Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks
Shan Zhang, Hongbin Luo, Junling Li +2
Vehicular networks are expected to support diverse content applications with multi-dimensional quality of service (QoS) requirements, which cannot be realized by the conventional o…
Compensation of Charging Station Overload via On-road Mobile Energy Storage Scheduling
Nan Chen, Mushu Li, Miao Wang +3
Supported by the technical development of electric battery and charging facilities, plug-in electric vehicle (PEV) has the potential to be mobile energy storage (MES) for energy de…
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status…
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks
Weisen Shi, Junlng Li, Nan Cheng +4
Drone base station (DBS) is a promising technique to extend wireless connections for uncovered users of terrestrial radio access networks (RAN). To improve user fairness and networ…
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection
Weisen Shi, Junling Li, Nan Cheng +5
Drone cell (DC) is an emerging technique to offer flexible and cost-effective wireless connections to collect Internet-of-things (IoT) data in uncovered areas of terrestrial networ…
Delay-Aware Flow Migration for Embedded Services in 5G Core Networks
Kaige Qu, Weihua Zhuang, Qiang Ye +4
Service-oriented virtual network deployment is based on statistical resource demands of different services, while data traffic from each service fluctuates over time. In this paper…