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eess.SP2024

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…

eess.SP2024

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…

eess.SP2024

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…

cs.IT2024

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems

Yiran Guo, Wei Chen, Jialong Xu +2

The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OF…

eess.SP2024

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…