124 citations · 307 across the 41 of their papers we have counts for
25 papers · 1 filter
BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks
Jiawei Hou, Peng Yang, Xiangxiang Dai +2
Bird's-Eye-View (BEV) is critical to connected and automated vehicles (CAVs) as it can provide unified and precise representation of vehicular surroundings. However, quality of the…
User-Centric Communication Service Provision for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Shisheng Hu +3
Future 6G networks are envisioned to facilitate edge-assisted mobile augmented reality (MAR) via strengthening the collaboration between MAR devices and edge servers. In order to p…
QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
Conghao Zhou, Lulu Sun, Xiucheng Wang +4
Mobile augmented reality (MAR) is envisioned as a key immersive application in 6G, enabling virtual content rendering aligned with the physical environment through device pose esti…
On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach
Zien Wang, Xiucheng Wang, Nan Cheng +4
The exponential growth of multimedia data traffic in 6G networks poses unprecedented challenges for immersive communication, where ultra-high-definition, multi-quality streaming mu…
Drift-Adaptive Slicing-Based Resource Management for Cooperative ISAC Networks
Shisheng Hu, Jie Gao, Xue Qin +5
In this paper, we propose a novel drift-adaptive slicing-based resource management scheme for cooperative integrated sensing and communication (ISAC) networks. Particularly, we est…
Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks
Minrui Xu, Jiani Fan, Xinyu Huang +8
With the continuous evolution of Large Language Models (LLMs), LLM-based agents have advanced beyond passive chatbots to become autonomous cyber entities capable of performing comp…
Revolutionizing QoE-Driven Network Management with Digital Agents in 6G
Xuemin Shen, Xinyu Huang, Jianzhe Xue +3
In this article, we present a digital agent (DA)-assisted network management framework for future sixth generation (6G) networks considering user quality of experience (QoE). A nov…
Digital Twin-Assisted Robust and Adaptive Resource Slicing in LEO Satellite Networks
Mingcheng He, Huaqing Wu, Conghao Zhou +3
Resource slicing in low Earth orbit satellite networks (LSN) is essential to support diversified services. In this paper, we investigate a resource slicing problem in LSN to reserv…
User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin
Conghao Zhou, Shisheng Hu, Jie Gao +3
In this article, we present a novel user-centric service provision for immersive communications (IC) in 6G to deal with the uncertainty of individual user behaviors while satisfyin…
User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach
Conghao Zhou, Jie Gao, Yixiang Liu +3
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In t…
Resource Slicing with Cross-Cell Coordination in Satellite-Terrestrial Integrated Networks
Mingcheng He, Huaqing Wu, Conghao Zhou +2
Satellite-terrestrial integrated networks (STIN) are envisioned as a promising architecture for ubiquitous network connections to support diversified services. In this paper, we pr…
When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management
Xinyu Huang, Haojun Yang, Conghao Zhou +3
Generative artificial intelligence (GAI) and digital twin (DT) are advanced data processing and virtualization technologies to revolutionize communication networks. Thanks to the p…
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication
Shisheng Hu, Jie Gao, Xinyu Huang +5
In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy an…
Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR
Conghao Zhou, Jie Gao, Mushu Li +3
Edge-device collaboration has the potential to facilitate compute-intensive device pose tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we…
T3P: Demystifying Low-Earth Orbit Satellite Broadband
Shubham Tiwari, Saksham Bhushan, Aryan Taneja +8
The Internet is going through a massive infrastructural revolution with the advent of low-flying satellite networks, 5/6G, WiFi7, and hollow-core fiber deployments. While these net…
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…
Digital Twin Based User-Centric Resource Management for Multicast Short Video Streaming
Xinyu Huang, Wen Wu, Shisheng Hu +3
Multicast short video streaming (MSVS) can effectively reduce network traffic load by delivering identical video sequences to multiple users simultaneously. The existing MSVS schem…
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…
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…
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…
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…