11 papers · 1 filter
On the Gaussian-Quadratic Rate-Distortion Function for Vector Sources with Individual Distortion Constraints
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper investigates the Gaussian-quadratic lossy compression with arbitrary source length under individual distortion constraints. The rate-distortion function (RDF) is lower-b…
FDD CSI Feedback under Finite Downlink Training: A Rate-Distortion Perspective
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper establishes the theoretical limits of channel state information (CSI) feedback in frequency-division duplexing (FDD) multi-antenna orthogonal frequency-division multiple…
Joint Lossy Compression for a Vector Gaussian Source under Individual Distortion Criteria
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper investigates the joint compression problem of a vector Gaussian source, where an individual distortion constraint is imposed on each source component. It is known that t…
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,…
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…
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…
Robust Image Semantic Coding with Learnable CSI Fusion Masking over MIMO Fading Channels
Bingyan Xie, Yongpeng Wu, Yuxuan Shi +3
Though achieving marvelous progress in various scenarios, existing semantic communication frameworks mainly consider single-input single-output Gaussian channels or Rayleigh fading…
Joint Data and Semantics Lossy Compression: Nonasymptotic Converse Bounds and Second-Order Asymptotics
Huiyuan Yang, Yuxuan Shi, Shuo Shao +1
This paper studies the joint data and semantics lossy compression problem, i.e., an extension of the hidden lossy source coding problem that entails recovering both the hidden and…
Indirect Lossy Source Coding with Observed Source Reconstruction: Nonasymptotic Bounds and Second-Order Asymptotics
Huiyuan Yang, Yuxuan Shi, Shuo Shao +1
This paper considers the joint compression of a pair of correlated sources, where the encoder is allowed to access only one of the sources. The objective is to recover both sources…
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…