1 citations · 2 across the 11 of their papers we have counts for
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Distributed Image Semantic Communication via Nonlinear Transform Coding
Yufei Bo, Meixia Tao, Kai Niu
This paper investigates distributed source-channel coding for correlated image semantic transmission over wireless channels. In this setup, correlated images at different transmitt…
Distributed Nonlinear Transform Source-Channel Coding for Wireless Correlated Image Transmission
Yufei Bo, Meixia Tao
This paper investigates distributed joint source-channel coding (JSCC) for correlated image semantic transmission over wireless channels. In this setup, correlated images at differ…
Fast Transmission Control Adaptation for URLLC via Channel Knowledge Map and Meta-Learning
Hongsen Peng, Tobias Kallehauge, Meixia Tao +1
This paper considers methods for delivering ultra reliable low latency communication (URLLC) to enable mission-critical Internet of Things (IoT) services in wireless environments w…
SNR-EQ-JSCC: Joint Source-Channel Coding with SNR-Based Embedding and Query
Hongwei Zhang, Meixia Tao
Coping with the impact of dynamic channels is a critical issue in joint source-channel coding (JSCC)-based semantic communication systems. In this paper, we propose a lightweight c…
Movable Antennas: Channel Measurement, Modeling, and Performance Evaluation
Yiqin Wang, Heyin Shen, Chong Han +1
Since decades ago, multi-antenna has become a key enabling technology in the evolution of wireless communication systems. In contrast to conventional multi-antenna systems that con…
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…