Zhi-Quan Liu

Joint Optimization of Offloading, Phase-Shift, Trajectory and Resource Allocation in Priority-Aware IRS-Assisted UAV-MEC Systems

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) utilizes low-altitude resources to provide computation services for ground users (GUs). However, the wireless channels connecting UAVs and GUs are often weak, and the priority of heterogeneous tasks is usually ignored, leading to unsatisfactory quality...

Cloud-Assisted Privacy-Preserving Safety Monitoring Scheme for Online Ride-Hailing Services

A Privacy-Preserving Scheme Based on Attribute and Homomorphic Encryption for Trustworthy Multi-Agent Data Management in Intelligence Edge Networking

With the deep integration of AI-native edge intelligence and 6G networks, distributed multi-agent systems composed of autonomous agents such as digital twins, autonomous vehicles, and the industrial Internet of Things are becoming the critical infrastructure for achieving “Synesthesia of Machines” of multi-source heter...

Toward Autonomous Driving With Short-Packet Rate Splitting: Age of Information Analysis and Optimization

To address the high mobility impacts and the ultra-reliable and low-latency communications (URLLC) requirements in autonomous driving scenarios, rate-splitting multiple access (RSMA) combined with short-packet communication (SPC) emerges as a promising solution. Autonomous vehicles rely on real-time information exchang...

Joint Power and Location Design for Energy-Efficient Covert UAV Communications

—Unmanned aerial vehicles (UAVs) have been extensively deployed in wireless communication scenario. However, UAV communication faces the challenges of information leakage and energy limitation. Therefore, this paper studies energy-efficient covert communication in adversarial UAV-enabled wireless systems, where a UAV c...

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control

This paper proposes a real-time and security-oriented restructuring of SHCUA-based UAV control, which transforms its outputs into contract-bound UAV skill invocations with explicit timing, state, authority, fallback, and evidence semantics.

Utility-Aware Resource Allocation for Hybrid NOMA in MEC: A Matching-Coalition Game Approach

The massive influx of uplink task offloading in Multi-access Edge Computing (MEC) systems poses a significant challenge to the capacity of wireless networks. This challenge highlights a fundamental trade-off between Orthogonal Multiple Access (OMA), which provides interference-free but spectrally inefficient communicat...