28 citations · 30 across the 9 of their papers we have counts for
10 papers
Large Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital Twins
Yingzhuo Sun, Haoyun Li, Ming Xiao +2
Wireless digital twins (DTs) are increasingly integrated with artificial intelligence to support online modeling, prediction, and network optimization. However, most existing appro…
Semantic Communications in 6G: Coexistence, Multiple Access, and Satellite Networks
Ishtiaque Ahmed, Yingzhuo Sun, Jingwen Fu +4
The exponential growth of wireless users and bandwidth constraints necessitates innovative communication paradigms for next-generation networks. Semantic Communication (SemCom) eme…
Channel Estimation for XL-MIMO Systems with Decentralized Baseband Processing: Integrating Local Reconstruction with Global Refinement
Anzheng Tang, Jun-Bo Wang, Yijin Pan +6
In this paper, we investigate the channel estimation problem for extremely large-scale multiple-input multiple-output (XL-MIMO) systems with a hybrid analog-digital architecture, i…
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi, Ming Xiao, Emil Björnson
Federated Learning (FL) enables clients to share learning parameters instead of local data, reducing communication overhead. Traditional wireless networks face latency challenges w…
Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks
Haoyun Li, Ming Xiao, Kezhi Wang +2
This letter investigates an unmanned aerial vehicle (UAV) network with integrated sensing and communication (ISAC) systems, where multiple UAVs simultaneously sense the locations o…
Sensing-Communication-Computing-Control Closed-Loop Optimization for 6G Unmanned Robotic Systems
Xinran Fang, Chengleyang Lei, Wei Feng +4
Rapid advancements in field robots have brought a new kind of cyber physical system (CPS)--unmanned robotic system--under the spotlight. In the upcoming sixth-generation (6G) era,…
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks
Yulan Gao, Chao Ren, Han Yu
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especiall…
Low-complexity Resource Allocation for Uplink RSMA in Future 6G Wireless Networks
Jiewen Hu, Gang Liu, Zheng Ma +2
Uplink rate-splitting multiple access (RSMA) requires optimization of decoding order and power allocation, while decoding order is a discrete variable, and it is very complex to fi…
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
Yulan Gao, Ziqiang Ye, Yue Xiao +1
The paradigm of federated learning (FL) to address data privacy concerns by locally training parameters on resource-constrained clients in a distributed manner has garnered signifi…
Double-Target Collaborative Spectrum Sharing for 6G Hybrid Satellite-Terrestrial Networks with User-Centric Channel Pools
Yanmin Wang, Wei Feng, Ming Xiao +1
Satellite and terrestrial cellular networks can be integrated together for extended broadband coverage in e.g., maritime communication scenarios, in the upcoming sixth-generation (…