5 citations · 9 across the 8 of their papers we have counts for
8 papers
Deep Learning Based Superposition Coded Modulation for Hierarchical Semantic Communications over Broadcast Channels
Yufei Bo, Shuo Shao, Meixia tao
We consider multi-user semantic communications over broadcast channels. While most existing works consider that each receiver requires either the same or independent semantic infor…
Joint Coding-Modulation for Digital Semantic Communications via Variational Autoencoder
Yufei Bo, Yiheng Duan, Shuo Shao +1
Semantic communications have emerged as a new paradigm for improving communication efficiency by transmitting the semantic information of a source message that is most relevant to…
Semantic-Aware Multi-Terminal Coding for Gaussian Mixture Sources
Yuxuan Shi, Shuo Shao, Yongpeng Wu +2
A novel distributed source coding model which named semantic-aware multi-terminal (MT) source coding is proposed and investigated in the paper, where multiple agents independently…
Excess Distortion Exponent Analysis for Semantic-Aware MIMO Communication Systems
Yuxuan Shi, Shuo Shao, Yongpeng Wu +3
In this paper, the analysis of excess distortion exponent for joint source-channel coding (JSCC) in semantic-aware communication systems is presented. By introducing an unobservabl…
Energy Efficiency of Massive Random Access in MIMO Quasi-Static Rayleigh Fading Channels with Finite Blocklength
Junyuan Gao, Yongpeng Wu, Shuo Shao +2
This paper considers the massive random access problem in MIMO quasi-static Rayleigh fading channels. Specifically, we derive achievability and converse bounds on the minimum energ…
Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems
Yufei Bo, Yiheng Duan, Shuo Shao +1
In learning-based semantic communications, neural networks have replaced different building blocks in traditional communication systems. However, the digital modulation still remai…
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data
Hongwei Zhang, Shuo Shao, Meixia Tao +2
Existing deep learning-enabled semantic communication systems often rely on shared background knowledge between the transmitter and receiver that includes empirical data and their…
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation
Jiakun Liu, Shuo Shao, Wenyi Zhang +1
A new source model, which consists of an intrinsic state part and an extrinsic observation part, is proposed and its information-theoretic characterization, namely its rate-distort…