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…
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…
Unsourced Random Access in MIMO Quasi-Static Rayleigh Fading Channels: Finite Blocklength and Scaling Law Analyses
Junyuan Gao, Yongpeng Wu, Giuseppe Caire +3
This paper considers the unsourced random access (URA) problem with a random and unknown number of active users in multiple-input multiple-output (MIMO) quasi-static Rayleigh fadin…
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…