activity
20232026
most citedMulti-objective Low-altitude IRS-assisted ISAC Optimization via Generative AI-enhanced Deep Reinforcement Learning

1 citations · 2 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.AI2025

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…

cs.NI2025★ 1 cited

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…

cs.CR2025

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…