1 citations · 2 across the 14 of their papers we have counts for
14 papers
Electromagnetic Neural Network for Direction-of-Arrival Estimation
Shining Lin, Jiancheng An, Lu Gan +4
Accurate and real-time direction of arrival (DOA) estimation is crucial for beamforming in unmanned aerial vehicle (UAV) communication systems. However, the existing high-precision…
Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications
Jinbao Li, Jiancheng An, Hao Liu +4
Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over tra…
Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding
Zifan Lang, Guixia Liu, Jiahui Li +5
With the rapid development of low-altitude wireless networking, autonomous aerial vehicles (AAVs) have emerged as critical enablers for timely and reliable data delivery, particula…
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…
Securing the Sky: Integrated Satellite-UAV Physical Layer Security for Low-Altitude Wireless Networks
Jiahui Li, Geng Sun, Xiaoyu Sun +5
Low-altitude wireless networks (LAWNs) have garnered significant attention in the forthcoming 6G networks. In LAWNs, satellites with wide coverage and unmanned aerial vehicles (UAV…
AoI-Sensitive Data Forwarding with Distributed Beamforming in UAV-Assisted IoT
Zifan Lang, Guixia Liu, Geng Sun +4
This paper proposes a UAV-assisted forwarding system based on distributed beamforming to enhance age of information (AoI) in Internet of Things (IoT). Specifically, UAVs collect an…
Multi-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning
Wenwen Xie, Geng Sun, Chuang Zhang +3
Integrated sensing and communication (ISAC) has garnered substantial research interest owing to its pivotal role in advancing the development of next-generation (6G) wireless netwo…
Low-altitude UAV Friendly-Jamming for Satellite-Maritime Communications via Generative AI-enabled Deep Reinforcement Learning
Jiawei Huang, Aimin Wang, Geng Sun +4
Low Earth orbit (LEO) satellites can be used to assist maritime wireless communications for wide-area data transmission. However, the extensive coverage of LEO satellites, combined…
UAV Virtual Antenna Array Deployment for Uplink Interference Mitigation in Data Collection Networks
Hongjuan Li, Hui Kang, Geng Sun +5
Unmanned aerial vehicles (UAVs) have gained considerable attention as a platform for establishing aerial wireless networks and communications. However, the line-of-sight dominance…
Digital Twin-Assisted Space-Air-Ground Integrated Multi-Access Edge Computing for Low-Altitude Economy: An Online Decentralized Optimization Approach
Long He, Geng Sun, Zemin Sun +5
The emergence of space-air-ground integrated multi-access edge computing (SAGIMEC) networks opens a significant opportunity for the rapidly growing low altitude economy (LAE), faci…
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…
Multi-objective Optimization for Multi-UAV-assisted Mobile Edge Computing
Geng Sun, Yixian Wang, Zemin Sun +4
Recent developments in unmanned aerial vehicles (UAVs) and mobile edge computing (MEC) have provided users with flexible and resilient computing services. However, meeting the comp…
TJCCT: A Two-timescale Approach for UAV-assisted Mobile Edge Computing
Zemin Sun, Geng Sun, Qingqing Wu +6
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is emerging as a promising paradigm to provide aerial-terrestrial computing services in close proximity to mobile…
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…