3 citations · 4 across the 11 of their papers we have counts for
11 papers
Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach
Zijiang Yan, Hao Zhou, Wael Jaafar +4
The deployment of high-speed Uncrewed Aerial Vehicles (UAVs) in 3D aerial highways necessitates robust coordination of physical flight kinematics and multi-tier network handovers.…
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
Zijiang Yan, Hao Zhou, Wael Jaafar +4
Uncrewed aerial vehicles (UAVs) are increasingly deployed in complex networked environments, yet the joint optimization of multi-UAV motion control and connectivity remains a funda…
EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting
Zijiang Yan, Yixiang Huang, Jianhua Pei +2
The rapid growth in wireless infrastructure has increased the need to accurately estimate and forecast electromagnetic field (EMF) levels to ensure ongoing compliance, assess poten…
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks
Zijiang Yan, Hao Zhou, Jianhua Pei +1
Unmanned aerial vehicles (UAVs) have been widely adopted in various real-world applications. However, the control and optimization of multi-UAV systems remain a significant challen…
CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks
Zijiang Yan, Hao Zhou, Jianhua Pei +3
Efficient resource allocation is essential for optimizing various tasks in wireless networks, which are usually formulated as generalized assignment problems (GAP). GAP, as a gener…
Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks
Zijiang Yan, Jianhua Pei, Hongda Wu +2
This paper proposes a novel Semantic Communication (SemCom) framework for real-time adaptive-bitrate video streaming by integrating Latent Diffusion Models (LDMs) within the FFmpeg…
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving
Zijiang Yan, Hao Zhou, Hina Tabassum +1
Large language models (LLMs) have received considerable interest recently due to their outstanding reasoning and comprehension capabilities. This work explores applying LLMs to veh…
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning
Zijiang Yan, Ramsundar Tanikella, Hina Tabassum
In vehicular networks (VNets), ensuring both road safety and dependable network connectivity is of utmost importance. Achieving this necessitates the creation of resilient and effi…
Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks
Zijiang Yan, Hina Tabassum
We develop a novel multi-objective reinforcement learning (MORL) framework to jointly optimize wireless network selection and autonomous driving policies in a multi-band vehicular…
Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Zijiang Yan, Wael Jaafar, Bassant Selim +1
This paper presents a deep reinforcement learning solution for optimizing multi-UAV cell-association decisions and their moving velocity on a 3D aerial highway. The objective is to…
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies
Zijiang Yan, Hina Tabassum
Vehicle-to-Infrastructure (V2I) communication is becoming critical for the enhanced reliability of autonomous vehicles (AVs). However, the uncertainties in the road-traffic and AVs…