9 papers
Dual-Branch Vector-Quantization-Aided Satellite Digital Semantic Communication with Index Compression for High-Resolution RSI Over AFDM
Jianqiao Chen, Nan Ma, Xiaodong Xu +7
High-resolution remote sensing imagery (RSI) transmission is constrained by satellite-ground bandwidth and channel impairments, yet existing methods struggle to simultaneously achi…
Hybrid-Field Sparse Channel Representation and Recovery for XL-RIS-Assisted mmWave MIMO Systems
Wenkai Liu, Nan Ma, Jianqiao Chen +2
Extremely large-scale reconfigurable intelligent surface (XL-RIS)-assisted communication is regarded as a key enabling technology for future 6G networks. However, hybrid-field chan…
Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications
Wenkai Liu, Nan Ma, Jianqiao Chen +3
In multiple-input multiple-output (MIMO) semantic communication, imperfect channel state information (CSI) and equalization mismatch can seriously degrade semantic reconstruction q…
VQ-DSC-R: Robust Vector Quantized-Enabled Digital Semantic Communication With OFDM Transmission
Jianqiao Chen, Nan Ma, Xiaodong Xu +6
Digital mapping of semantic features is essential for achieving interoperability between semantic communication and practical digital infrastructure. However, current research effo…
Vector Quantized-Aided XL-MIMO CSI Feedback with Channel Adaptive Transmission
Yuhang Ma, Nan Ma, Jianqiao Chen +1
Efficient channel state information (CSI) feedback is critical for 6G extremely large-scale multiple-input multiple-output (XL-MIMO) systems to mitigate channel interference. Howev…
Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication
Rui Meng, Song Gao, Bingxuan Xu +6
Semantic Communication (SemCom), leveraging its significant advantages in transmission efficiency and reliability, has emerged as a core technology for constructing future intellic…
Flow matching-based generative models for MIMO channel estimation
Wenkai Liu, Nan Ma, Jianqiao Chen +2
Diffusion model (DM)-based channel estimation, which generates channel samples via a posteriori sampling stepwise with denoising process, has shown potential in high-precision chan…
VQ-DeepISC: Vector Quantized-Enabled Digital Semantic Communication with Channel Adaptive Image Transmission
Jianqiao Chen, Tingting Zhu, Huishi Song +2
Discretization of semantic features enables interoperability between semantic and digital communication systems, showing significant potential for practical applications. The funda…
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems
Jianqiao Chen, Nan Ma, Wenkai Liu +2
Channel reconstruction and generalization capability are of equal importance for developing channel estimation schemes within deep learning (DL) framework. In this paper, we exploi…