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

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

collaborators

5 papers

cs.AI2026

Agentic AI for ISAC: Analysis, Framework, and Case Study

Wenwen Xie, Geng Sun, Chuang Zhang +2

Integrated sensing and communication (ISAC) has emerged as a key development direction in the sixth-generation (6G) era, which provides essential support for the collaborative sens…

cs.NI20261 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.NI2025

RIS-assisted Data Collection and Wireless Power Transfer in Low-altitude Wireless Networks

Wenwen Xie, Geng Sun, Jiahui Li +5

Low-altitude wireless networks (LAWNs) have become effective solutions for collecting data from low-power Internet-of-Things devices (IoTDs) in remote areas with limited communicat…

cs.LG2025

Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases

Geng Sun, Wenwen Xie, Dusit Niyato +4

As a form of artificial intelligence (AI) technology based on interactive learning, deep reinforcement learning (DRL) has been widely applied across various fields and has achieved…

cs.NI2025

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…