14 papers · 1 filter
Context Video Semantic Transmission with Variable Length and Rate Coding over MIMO Channels
Bingyan Xie, Yongpeng Wu, Wenjun Zhang +2
The evolution of semantic communications has profoundly impacted wireless video transmission, whose applications dominate driver of modern bandwidth consumption. However, most exis…
Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network
Zhuoran Li, Zhen Gao, Xinhua Liu +6
The advent of sixth-generation (6G) places intelligence at the core of wireless architecture, fusing perception, communication, and computation into a single closed-loop. This pape…
Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +4
Existing wireless video transmission schemes directly conduct video coding in pixel level, while neglecting the inner semantics contained in videos. In this paper, we propose a wir…
Multi-hop Parallel Image Semantic Communication for Distortion Accumulation Mitigation
Bingyan Xie, Jihong Park, Yongpeng Wu +2
Existing semantic communication schemes primarily focus on single-hop scenarios, overlooking the challenges of multi-hop wireless image transmission. As semantic communication is i…
Age of Semantic Information-Aware Wireless Transmission for Remote Monitoring Systems
Xue Han, Biqian Feng, Yongpeng Wu +3
Semantic communication is emerging as an effective means of facilitating intelligent and context-aware communication for next-generation communication systems. In this paper, we pr…
Semantic-aided Parallel Image Transmission Compatible with Practical System
Mingkai Xu, Yongpeng Wu, Yuxuan Shi +4
In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly,…
Grant-Free Random Access in Uplink LEO Satellite Communications with OFDM
Rui Mao, Yongpeng Wu, Boxiao Shen +3
This paper investigates joint device activity detection and channel estimation for grant-free random access in Low-earth orbit (LEO) satellite communications. We consider uplink co…
Finite-Blocklength Information Theory
Junyuan Gao, Shuao Chen, Yongpeng Wu +4
Traditional asymptotic information-theoretic studies of the fundamental limits of wireless communication systems primarily rely on some ideal assumptions, such as infinite blocklen…
Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
Bingyan Xie, Yongpeng Wu, Feng Shu +2
This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output multiple access channel (MIMO-MAC) and thus propose a multi-user learnable CSI fusi…
WVSC: Wireless Video Semantic Communication with Multi-frame Compensation
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +4
Existing wireless video transmission schemes directly conduct video coding in pixel level, while neglecting the inner semantics contained in videos. In this paper, we propose a wir…
RWZC: A Model-Driven Approach for Learning-based Robust Wyner-Ziv Coding
Yuxuan Shi, Shuo Shao, Yongpeng Wu +2
In this paper, a novel learning-based Wyner-Ziv coding framework is considered under a distributed image transmission scenario, where the correlated source is only available at the…
Learnable Residual-Based Latent Denoising in Semantic Communication
Mingkai Xu, Yongpeng Wu, Yuxuan Shi +3
A latent denoising semantic communication (SemCom) framework is proposed for robust image transmission over noisy channels. By incorporating a learnable latent denoiser into the re…
Energy Efficiency Maximization for Movable Antenna-Enhanced System Based on Statistical CSI
Xintai Chen, Biqian Feng, Yongpeng Wu +1
This paper investigates an innovative movable antenna (MA)-enhanced multiple-input multiple-output (MIMO) system designed to enhance communication performance. We aim to maximize t…
SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission
Xue Han, Yongpeng Wu, Zhen Gao +4
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission environments. In this paper, we propo…