3 citations · 9 across the 28 of their papers we have counts for
8 papers · 1 filter
Sidelink Positioning: Standardization Advancements, Challenges and Opportunities
Yuan Gao, Guangjin Pan, Zhiyong Zhong +4
With the integration of cellular networks in vertical industries that demand precise location information, such as vehicle-to-everything (V2X), public safety, and Industrial Intern…
A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications
Jihong Li, Shunqing Zhang, Tao Yu +7
Immersive communication, including emerging augmented reality, virtual reality, and holographic telepresence, has been identified as a key service for enabling next-generation wire…
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Yanzan Sun, Jiacheng Qiu, Guangjin Pan +4
Extended reality (XR), blending virtual and real worlds, is a key application of future networks. While AI advancements enhance XR capabilities, they also impose significant comput…
Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S
Guangjin Pan, Shugong Xu, Pin Jiang
As 5G networks strive to support advanced time-critical applications, such as immersive Extended Reality (XR), cloud gaming, and autonomous driving, the demand for Real-time Broadb…
Quality of Experience Oriented Cross-layer Optimization for Real-time XR Video Transmission
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of beyond 5G and 6G networks. Real-time XR video transmission presents challenges in terms of data rate and delay. I…
Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this pa…
Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems
Guangjin Pan, Heng Zhang, Shugong Xu +2
The high computational complexity and energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. However, mobile edge…
A Hard and Soft Hybrid Slicing Framework for Service Level Agreement Guarantee via Deep Reinforcement Learning
Heng Zhang, Guangjin Pan, Shugong Xu +2
Network slicing is a critical driver for guaranteeing the diverse service level agreements (SLA) in 5G and future networks. Recently, deep reinforcement learning (DRL) has been wid…