124 citations · 456 across the 38 of their papers we have counts for
39 papers
Stochastic Geometry Analysis and Optimization for Multi-LEO Satellite-Assisted Communications
Xu Hu, Bin Lin, Ping Wang +3
Low Earth orbit (LEO) satellites are vital in providing seamless connectivities to ground users (GUs). However, complex satellite-to-ground propagation and non-negligible satellite…
User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality
Mushu Li, Jie Gao, Conghao Zhou +2
In this paper, we present a novel content caching and delivery approach for mobile virtual reality (VR) video streaming. The proposed approach aims to maximize VR video streaming p…
AI-Assisted Slicing-Based Resource Management for Two-Tier Radio Access Networks
Conghao Zhou, Jie Gao, Mushu Li +4
While network slicing has become a prevalent approach to service differentiation, radio access network (RAN) slicing remains challenging due to the need of substantial adaptivity a…
Millimeter Wave Full-Duplex Networks: MAC Design and Throughput Optimization
Shengbo Liu, Wen Wu, Liqun Fu +4
Full-duplex (FD) technique can remarkably boost the network capacity in the millimeter wave (mmWave) bands by enabling simultaneous transmission and reception. However, due to dire…
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a 3D map management scheme for edge-assisted mobile augmented reality (MAR) to support the pose estimation of individual MAR device, which uploads camera f…
Toward Immersive Communications in 6G
Xuemin Shen, Jie Gao, Mushu Li +4
The sixth generation (6G) networks are expected to enable immersive communications and bridge the physical and the virtual worlds. Integrating extended reality, holography, and hap…
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…
Cost-Effective Two-Stage Network Slicing for Edge-Cloud Orchestrated Vehicular Networks
Wen Wu, Kaige Qu, Peng Yang +4
In this paper, we study a network slicing problem for edge-cloud orchestrated vehicular networks, in which the edge and cloud servers are orchestrated to process computation tasks…
Digital Twin-Driven Computing Resource Management for Vehicular Networks
Mushu Li, Jie Gao, Conghao Zhou +3
This paper presents a novel approach for computing resource management of edge servers in vehicular networks based on digital twins and artificial intelligence (AI). Specifically,…
Digital Twin-Empowered Network Planning for Multi-Tier Computing
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a resource management scheme to support stateful applications, which will be prevalent in 6G networks. Different from stateless applications, stateful appl…
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks
Zhibin Wang, Yong Zhou, Yuanming Shi +1
Federated learning (FL) over resource-constrained wireless networks has recently attracted much attention. However, most existing studies consider one FL task in single-cell wirele…
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
Feijie Wu, Shiqi He, Song Guo +4
Traditional one-bit compressed stochastic gradient descent can not be directly employed in multi-hop all-reduce, a widely adopted distributed training paradigm in network-intensive…
Split Learning over Wireless Networks: Parallel Design and Resource Management
Wen Wu, Mushu Li, Kaige Qu +6
Split learning (SL) is a collaborative learning framework, which can train an artificial intelligence (AI) model between a device and an edge server by splitting the AI model into…
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
Sheng Yue, Ju Ren, Jiang Xin +3
Federated meta-learning (FML) has emerged as a promising paradigm to cope with the data limitation and heterogeneity challenges in today's edge learning arena. However, its perform…
Slicing-Based AI Service Provisioning on Network Edge
Mushu Li, Jie Gao, Conghao Zhou +3
Edge intelligence leverages computing resources on network edge to provide artificial intelligence (AI) services close to network users. As it enables fast inference and distribute…
AI-Native Network Slicing for 6G Networks
Wen Wu, Conghao Zhou, Mushu Li +6
With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the 6G networks. The 6G networks are expected to have space-air-groun…
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…
Robust Online Composition, Routing and NF Placement for NFV-enabled Services
Omar Alhussein, Weihua Zhuang
Network function virtualization (NFV) fosters innovation in the networking field and reduces the complexity involved in managing modern-day conventional networks. Via NFV, the prov…
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…
Fast mmwave Beam Alignment via Correlated Bandit Learning
Wen Wu, Nan Cheng, Ning Zhang +4
Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing…
Optimal Dynamic Multi-Resource Management in Earth Observation Oriented Space Information Networks
Yu Wang, Min Sheng, Qiang Ye +3
Space information network (SIN) is an innovative networking architecture to achieve near-real-time mass data observation, processing and transmission over the globe. In the SIN env…
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…