912 citations · 10.1k across the 293 of their papers we have counts for
9 papers · 1 filter
Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks
Farooque Hassan Kumbhar, Kapal Dev, Sunder Ali Khowaja +3
Conventional wireless networks rely on instantaneous channel state information (CSI) and react to channel variations without explicitly modeling the physical environment, limiting…
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…
Mobile Edge Generation: A New Era to 6G
Ruikang Zhong, Xidong Mu, Yimeng Zhang +2
A conception of mobile edge generation (MEG) is proposed, where generative artificial intelligence (GAI) models are distributed at edge servers (ESs) and user equipment (UE), enabl…
Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning
Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu +1
Reconfigurable intelligent surfaces (RISs) are a promising technology to enable smart radio environments. However, integrating RISs into wireless networks also leads to substantial…
Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches
Ruikang Zhong, Xiao Liu, Yuanwei Liu +2
A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of th…
NOMA in UAV-aided cellular offloading: A machine learning approach
Ruikang Zhong, Xiao Liu, Yuanwei Liu +1
A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal multiple access (NOMA) technique is employed at…
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach
Tiankui Zhang, Xinyuan Fang, Yuanwei Liu +2
In device-to-device (D2D)-enabled caching cellular networks, the user terminals (UTs) collaboratively store and share a large volume of popular contents from the base station (BS)…
When Machine Learning Meets Big Data: A Wireless Communication Perspective
Yuanwei Liu, Suzhi Bi, Zhiyuan Shi +1
We have witnessed an exponential growth in commercial data services, which has lead to the 'big data era'. Machine learning, as one of the most promising artificial intelligence to…
Toward Cross-Layer Design for Non-Orthogonal Multiple Access: A Quality-of-Experience Perspective
Wei Wang, Yuanwei Liu, Zhiqing Luo +3
Recent years have seen proliferation in versatile mobile devices and an upsurge in the growth of data-consuming application services. Orthogonal multiple access (OMA) technologies…