162 citations · 168 across the 32 of their papers we have counts for
15 papers · 1 filter
Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks
Bowei Tong, Hui Kang, Jiahui Li +5
Despite rapid advancements in sensor networks, conventional battery-powered sensor networks suffer from limited operational lifespans and frequent maintenance requirements that sev…
Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances
Geng Sun, Chenbang Liu, Jiahui Li +5
Unmanned aerial vehicle (UAV) swarms utilizing collaborative beamforming (CB) in low-altitude wireless networks (LAWN) demonstrate significant potential for enhanced communication…
Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
Geng Sun, Likun Zhang, Jiahui Li +5
The integration of unmanned aerial vehicles (UAVs) with Internet of Things (IoT) networks offers promising solutions for efficient data collection. However, the limited energy capa…
Energy Transfer and Data Collection from Batteryless Sensors in Low-altitude Wireless Networks
Wen Zhang, Aimin Wang, Jiahui Li +4
The integration of wireless power transfer (WPT) with Internet of Things (IoT) offers promising solutions for sensing applications, but faces significant challenges when deployed i…
LLM-guided DRL for Multi-tier LEO Satellite Networks with Hybrid FSO/RF Links
Jiahui Li, Geng Sun, Zemin Sun +5
Despite significant advancements in terrestrial networks, inherent limitations persist in providing reliable coverage to remote areas and maintaining resilience during natural disa…
Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions
Yixian Wang, Geng Sun, Zemin Sun +10
The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainab…
UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach
Xiaoya Zheng, Geng Sun, Jiahui Li +4
The low-altitude economy (LAE) plays an indispensable role in cargo transportation, healthcare, infrastructure inspection, and especially post-disaster communication. Specifically,…
Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning
Wenwen Xie, Geng Sun, Bei Liu +5
Emerging technologies in sixth generation (6G) of wireless communications, such as terahertz communication and ultra-massive multiple-input multiple-output, present promising prosp…
A Correlated Data-Driven Collaborative Beamforming Approach for Energy-efficient IoT Data Transmission
Yangning Li, Hui Kang, Jiahui Li +5
An expansion of Internet of Things (IoTs) has led to significant challenges in wireless data harvesting, dissemination, and energy management due to the massive volumes of data gen…
Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities
Wenwen Xie, Geng Sun, Jiahui Li +4
Internet of Things (IoT) devices are typically powered by small-sized batteries with limited energy storage capacity, requiring regular replacement or recharging. To reduce costs a…
Multi-objective Aerial Collaborative Secure Communication Optimization via Generative Diffusion Model-enabled Deep Reinforcement Learning
Chuang Zhang, Geng Sun, Jiahui Li +4
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for enhancing coverage and functionality of wireless networks. However, incorporating UAVs…
UAV-enabled Collaborative Beamforming via Multi-Agent Deep Reinforcement Learning
Saichao Liu, Geng Sun, Jiahui Li +4
In this paper, we investigate an unmanned aerial vehicle (UAV)-assistant air-to-ground communication system, where multiple UAVs form a UAV-enabled virtual antenna array (UVAA) to…
Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning
Jiahui Li, Geng Sun, Qingqing Wu +4
In this paper, we propose a distributed collaborative beamforming (DCB)-based uplink communication paradigm for enabling ground-space direct communications. Specifically, DCB treat…
Two-Way Aerial Secure Communications via Distributed Collaborative Beamforming under Eavesdropper Collusion
Jiahui Li, Geng Sun, Qingqing Wu +3
Unmanned aerial vehicles (UAVs)-enabled aerial communication provides a flexible, reliable, and cost-effective solution for a range of wireless applications. However, due to the hi…
UAV Swarm-enabled Collaborative Secure Relay Communications with Time-domain Colluding Eavesdropper
Chuang Zhang, Geng Sun, Qingqing Wu +4
Unmanned aerial vehicles (UAVs) as aerial relays are practically appealing for assisting Internet of Things (IoT) network. In this work, we aim to utilize the UAV swarm to assist t…