16 citations · 35 across the 16 of their papers we have counts for
18 papers
Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication
Lin Yin, Tiejun Lv, Weicai Li +2
Collaborative training in distributed semantic communication (DSC) networks typically relies on decentralized federated learning (DFL). However, pushing topology-agnostic aggregati…
Prior-Aided Iterative Channel Reconstruction with Optimized Frame Structure for DSE Mitigation in CP-OTFS-Based LEO Satellite Systems
Yiyan Cheng, Tiejun Lv, Yashuai Cao +2
Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to mitigate the severe Doppler shift in low Earth orbit (LEO) satellite communications. Howeve…
Adaptive Dual-Path Framework for Covert Semantic Communication
Xi Yu, Weicai Li, Lin Yin +1
This paper proposes a novel adaptive dual-path framework for covert semantic communication (SemCom), which integrates covert information transmission with task-oriented semantic co…
Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
Xiaoyu He, Weicai Li, Tiejun Lv +1
Decentralized federated learning (D-FL) enables privacy-preserving training without a central server, but multi-hop model exchanges and aggregation are often bottlenecked by commun…
A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications
Hetong Wang, Yashuai Cao, Tiejun Lv
Stacked intelligent metasurfaces (SIMs) represent a breakthrough in wireless hardware by comprising multilayer, programmable metasurfaces capable of analog computing in the electro…
A Harmony Composition-Inspired Tensor Modalization Method for Near-Field IRS Channel Estimation
Wenzhou Cao, Yashuai Cao, Tiejun Lv +1
Intelligent reflecting surfaces (IRSs) are poised to revolutionize next-generation wireless communication systems by enhancing channel quality and spectrum efficiency through advan…
Efficient Off-Grid Near-Field Cascade Channel Estimation for XL-IRS Systems via Tucker Decomposition
Wenzhou Cao, Yashuai Cao, Tiejun Lv +1
Accurate cascaded channel state information is pivotal for extremely large-scale intelligent reflecting surfaces (XL-IRS) in next-generation wireless networks. However, the large X…
ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design
Xin Jin, Tiejun Lv, Yashuai Cao +2
This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overco…
C-AoEI-Aware Cross-Layer Optimization in Satellite IoT Systems: Balancing Data Freshness and Transmission Efficiency
Yuhua Zhao, Tiejun Lv, Ke Wang
Satellite-based Internet of Things (S-IoT) faces a fundamental trilemma: propagation delay, dynamic fading, and bandwidth scarcity. While Layer-coded Hybrid ARQ (L-HARQ) enhances r…
Stacked Intelligent Metasurfaces-Based Electromagnetic Wave Domain Interference-Free Precoding
Hetong Wang, Yashuai Cao, Tiejun Lv +4
This paper introduces an interference-free multi-stream transmission architecture leveraging stacked intelligent metasurfaces (SIMs), from a new perspective of interference exploit…
Navigating the Dual-Use Nature and Security Implications of Reconfigurable Intelligent Surfaces in Next-Generation Wireless Systems
Hetong Wang, Tiejun Lv, Yashuai Cao +4
Reconfigurable intelligent surface (RIS) technology offers significant promise in enhancing wireless communication systems, but its dual-use potential also introduces substantial s…
Uninformed-to-Informed Estimation: A Ping-Pong Positioning Method for Multi-user Wideband mmWave Systems
Lin Guo, Tiejun Lv, Yashuai Cao +1
To enhance the positioning and tracking performance of dynamic user equipment (UE) in wideband millimeter-wave (mmWave) systems, we propose a novel positioning error lower bound (P…
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
Weicai Li, Tiejun Lv, Xiyu Zhao +2
Inherent communication noises have the potential to preserve privacy for wireless federated learning (WFL) but have been overlooked in digital communication systems predominantly u…
Route-and-Aggregate Decentralized Federated Learning Under Communication Errors
Weicai Li, Tiejun Lv, Wei Ni +3
Decentralized federated learning (D-FL) allows clients to aggregate learning models locally, offering flexibility and scalability. Existing D-FL methods use gossip protocols, which…
Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction
Xi Yu, Tiejun Lv, Weicai Li +3
Multi-task semantic communication can serve multiple learning tasks using a shared encoder model. Existing models have overlooked the intricate relationships between features extra…
Decentralized Federated Learning Over Imperfect Communication Channels
Weicai Li, Tiejun Lv, Wei Ni +3
This paper analyzes the impact of imperfect communication channels on decentralized federated learning (D-FL) and subsequently determines the optimal number of local aggregations p…
A Reconfigurable Subarray Architecture and Hybrid Beamforming for Millimeter-Wave Dual-Function-Radar-Communication Systems
Xin Jin, Tiejun Lv, Wei Ni +4
Dual-function-radar-communication (DFRC) is a promising candidate technology for next-generation networks. By integrating hybrid analog-digital (HAD) beamforming into a multi-user…
Intelligent Reflecting Surfaces and Next Generation Wireless Systems
Yashuai Cao, Hetong Wang, Tiejun Lv +1
Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy effic…