5 papers
DeepGuard: Defending Deep Joint Source-Channel Coding Against Eavesdropping at Physical-Layer
Kaiyi Chi, Yinghui He, Qianqian Yang +4
Deep joint source-channel coding (DeepJSCC) has emerged as a promising paradigm for efficient and robust information transmission. However, its intrinsic characteristics also pose…
DeepStream: Prototyping Deep Joint Source-Channel Coding for Real-Time Multimedia Transmissions
Kaiyi Chi, Yinghui He, Qianqian Yang +5
Deep learning-based joint source-channel coding (DeepJSCC) has emerged as a promising technique in 6G for enhancing the efficiency and reliability of data transmission across diver…
Minimizing End-to-End Latency for Joint Source-Channel Coding Systems
Kaiyi Chi, Qianqian Yang, Yuanchao Shu +2
While existing studies have highlighted the advantages of deep learning (DL)-based joint source-channel coding (JSCC) schemes in enhancing transmission efficiency, they often overl…
Semantic-aware Transmission for Robust Point Cloud Classification
Tianxiao Han, Kaiyi Chi, Qianqian Yang +1
As three-dimensional (3D) data acquisition devices become increasingly prevalent, the demand for 3D point cloud transmission is growing. In this study, we introduce a semantic-awar…
MIMO Precoding Design with QoS and Per-Antenna Power Constraints
Kaiyi Chi, Yingzhi Huang, Qianqian Yang +2
Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (W…