9 citations · 11 across the 7 of their papers we have counts for
8 papers
Learning to Beamform for Cooperative Localization and Communication: A Link Heterogeneous GNN-Based Approach
Lixiang Lian, Chuanqi Bai, Yihan Xu +3
Integrated sensing and communication (ISAC) has emerged as a key enabler for next-generation wireless networks, supporting advanced applications such as high-precision localization…
Localization and Tracking for Cooperative Users in Multi-RIS-assisted Systems: Theoretical Analysis and Principles of Interpretations
Peng Gao, Lixiang Lian, Yuan Shen
Localization and tracking (LocTrack) are fundamental enablers for a wide range of emerging applications. Reconfigurable intelligent surfaces (RISs) have emerged as key components f…
Multi-User Localization and Tracking with Spatiotemporal Correlation in Multi-RIS-Assisted Systems
Ronghua Peng, Peng Gao, Jing You +1
As a promising technique, reconfigurable intelligent surfaces (RISs) exhibit its tremendous potential for high accuracy positioning. In this paper, we investigates multi-user local…
Adaptive Multi-User Channel Estimation Based on Contrastive Feature Learning
Yihan Xu, Lixiang Lian
Correlation exploitation is essential for efficient multi-user channel estimation (MUCE) in massive MIMO systems. However, the existing works either rely on presumed strong correla…
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi, Lixiang Lian, Yuanming Shi +6
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" to "connected intelligence", featured by ultra high density, large-sc…
Decentralized Complete Dictionary Learning via -Norm Maximization
Qiheng Lu, Lixiang Lian
With the rapid development of information technologies, centralized data processing is subject to many limitations, such as computational overheads, communication delays, and data…
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying
Kangchun Zhao, Yijie Mao, Zhaohui Yang +2
Cooperative rate splitting (CRS), built upon rate splitting multiple access (RSMA) and opportunistic user relaying, has been recognized as a promising transmission strategy to enha…
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design
Shaoming Huang, Pengfei Zhang, Yijie Mao +2
Federated learning (FL) is recognized as a key enabling technology to support distributed artificial intelligence (AI) services in future 6G. By supporting decentralized data train…