3 papers
eess.SP2026
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…
cs.NI2025
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…
cs.NI2025
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…