56 citations · 258 across the 11 of their papers we have counts for
11 papers
Large Language Model Agents for Radio Map Generation and Wireless Network Planning
Hongye Quan, Wanli Ni, Tong Zhang +5
Using commercial software for radio map generation and wireless network planning often require complex manual operations, posing significant challenges in terms of scalability, ada…
Federated Contrastive Learning for Personalized Semantic Communication
Yining Wang, Wanli Ni, Wenqiang Yi +3
In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…
OFDM-Based Digital Semantic Communication with Importance Awareness
Chuanhong Liu, Caili Guo, Yang Yang +2
Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mai…
Performance Analysis and Optimization of Reconfigurable Multi-Functional Surface Assisted Wireless Communications
Wen Wang, Wanli Ni, Hui Tian +1
Although reconfigurable intelligent surfaces (RISs) can improve the performance of wireless networks by smartly reconfiguring the radio environment, existing passive RISs face two…
Multi-Functional Reconfigurable Intelligent Surface: System Modeling and Performance Optimization
Wen Wang, Wanli Ni, Hui Tian +2
In this paper, we propose and study a multi-functional reconfigurable intelligent surface (MF-RIS) architecture. In contrast to conventional single-functional RIS (SF-RIS) that onl…
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework
Jingheng Zheng, Wanli Ni, Hui Tian +3
Under the organization of the base station (BS), wireless federated learning (FL) enables collaborative model training among multiple devices. However, the BS is merely responsible…