13 papers · 1 filter
ComHymba: Low-Complexity Domain-Informed Foundation Model for Wireless Communications
Bowen Yang, Wei Chen, Jiaming Cheng +1
Wireless foundation models are a promising route to unify channel reconstruction, sensing, and beam management in future wireless communication systems, but existing designs often…
Mobile Communications in Intelligent Rail Transit: From LCX to PASS
Yiran Guo, Wei Chen, Cong Yu +3
Wireless communications in intelligent rail transit face harsh propagation conditions, including severe penetration loss, frequent blockages, and amplified large-scale fading. Exis…
Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systems
Jiaming Cheng, Wei Chen, Bo Ai
The advent of artificial intelligence (AI)-native wireless communication is fundamentally reshaping the design paradigm of next-generation (NextG) systems, where intelligent air in…
Uplink Assisted Joint Channel Estimation and CSI Feedback: An Approach Based on Deep Joint Source-Channel Coding
Yiran Guo, Wei Chen, Bo Ai
In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communication systems, the acquisition of downlink channel state information (CSI) is essential fo…
Joint CSI Estimation-Feedback-Precoding via DJSCC for MU-MIMO OFDM Systems
Yiran Guo, Wei Chen, Bo Ai +1
As the number of antennas in frequency-division duplex (FDD) multiple-input multiple-output (MIMO) systems increases, acquiring channel state information (CSI) becomes increasingly…
Asynchronous Random Access in Massive MIMO Systems Facilitated by the Delay-Angle Domain
Ao Chen, Wei Chen, Bo Ai +1
The problem of uplink transmissions in massive connectivity is commonly dealt with using schemes for grant-free random access. When a large number of devices transmit almost synchr…
Learning Rate-Compatible Linear Block Codes: An Auto-Encoder Based Approach
Yukun Cheng, Wei Chen, Tianwei Hou +2
Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size a…
AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
Wen Li, Wei Chen, Shiyue Wang +3
High-speed railway (HSR) communications are pivotal for ensuring rail safety, operations, maintenance, and delivering passenger information services. The high speed of trains creat…
Deep Learning for CSI Feedback: One-Sided Model and Joint Multi-Module Learning Perspectives
Yiran Guo, Wei Chen, Feifei Sun +3
The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry. The mainstream DL architectures, e.g., Cs…
Building Semantic Communication System via Molecules: An End-to-End Training Approach
Yukun Cheng, Wei Chen, Bo Ai
The concept of semantic communication provides a novel approach for applications in scenarios with limited communication resources. In this paper, we propose an end-to-end (E2E) se…
Rate Compatible LDPC Neural Decoding Network: A Multi-Task Learning Approach
Yukun Cheng, Wei Chen, Lun Li +1
Deep learning based decoding networks have shown significant improvement in decoding LDPC codes, but the neural decoders are limited by rate-matching operations such as puncturing…
A Comprehensive Study of PAPR Reduction Techniques for Deep Joint Source Channel Coding in OFDM Systems
Maolin Liu, Wei Chen, Jialong Xu +1
Recently, deep joint source channel coding (DJSCC) techniques have been extensively studied and have shown significant performance with limited bandwidth and low signal to noise ra…
Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems
Weixiao Wan, Wei Chen, Shiyue Wang +2
Scalability is a major concern in implementing deep learning (DL) based methods in wireless communication systems. Given various channel reconstruction tasks, applying one DL model…