5 papers
Two-Layer Reinforcement Learning-Assisted Joint Beamforming and Trajectory Optimization for Multi-UAV Downlink Communications
Ruiqi Wang, Essra M. Ghoura, Omar Alhussein +4
Unmanned aerial vehicles (UAVs) are pivotal for future 6G non-terrestrial networks, yet their high mobility creates a complex coupled optimization problem for beamforming and traje…
LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures
Wenzhe He, Xiaojun Chen, Ruiqi Wang +5
3D LiDAR scene completion from point clouds is a fundamental component of perception systems in autonomous vehicles. Previous methods have predominantly employed diffusion models f…
Online Learning Based Efficient Resource Allocation for LoRaWAN Network
Ruiqi Wang, Wenjun Li, Jing Ren +4
The deployment of large-scale LoRaWAN networks requires jointly optimizing conflicting metrics like Packet Delivery Ratio (PDR) and Energy Efficiency (EE) by dynamically allocating…
D-LoRa: a Distributed Parameter Adaptation Scheme for LoRa Network
Ruiqi Wang, Tongyu Song, Jing Ren +3
The deployment of LoRa networks necessitates joint performance optimization, including packet delivery rate, energy efficiency, and throughput. Additionally, multiple LoRa paramete…
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
Peter Yong Zhong, Siyuan Chen, Ruiqi Wang +4
Tool-Based Agent Systems (TBAS) allow Language Models (LMs) to use external tools for tasks beyond their standalone capabilities, such as searching websites, booking flights, or ma…