1 citations · 3 across the 21 of their papers we have counts for
15 papers · 1 filter
SIDMA: Semantic Interleave Division Multiple Access Communication System
Yunlu Wang, Chen Dong, Sen Wang +4
Multiple Access (MA) technology has consistently served as the core driving force behind the evolution of mobile communications. As a promising paradigm for next-generation communi…
SA-RA-JSCC: SNR-Adaptive and Semantic-Rate-Aware Joint Source-Channel Coding
Shitong Zhang, Yaping Sun, Hao Chen +4
In joint source-channel coding (JSCC)-based semantic communication systems, achieving stable and reliable image semantic transmission under channel constraints remains a key challe…
Unlocking High-Fidelity Analog Joint Source-Channel Coding on Standard Digital Transceivers
Shumin Yao, Hao Chen, Yaping Sun +4
Analog joint source-channel coding (JSCC) has demonstrated superior performance for semantic communications through graceful degradation across channel conditions. However, a funda…
Zero-Shot Knowledge Base Resizing for Rate-Adaptive Digital Semantic Communication
Shumin Yao, Hui Du, Lifeng Xie +4
Digital semantic communication systems, which often leverage the Vector Quantized Variational Autoencoder (VQ-VAE) framework, are pivotal for future wireless networks. In a VQ-VAE-…
Generative Semantic Communication: Architectures, Technologies, and Applications
Jinke Ren, Yaping Sun, Hongyang Du +7
This paper delves into the applications of generative artificial intelligence (GAI) in semantic communication (SemCom) and presents a thorough study. Three popular SemCom systems e…
Cooperative Semantic Knowledge Base Update Policy for Multiple Semantic Communication Pairs
Shuling Li, Yaping Sun, Jinbei Zhang +4
Semantic communication has emerged as a promising communication paradigm and there have been extensive research focusing on its applications in the increasingly prevalent multi-use…
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +4
Lightweight and efficient neural network models for deep joint source-channel coding (JSCC) are crucial for semantic communications. In this paper, we propose a novel JSCC architec…
End-to-End Generative Semantic Communication Powered by Shared Semantic Knowledge Base
Shuling Li, Yaping Sun, Jinbei Zhang +3
Semantic communication has drawn substantial attention as a promising paradigm to achieve effective and intelligent communications. However, efficient image semantic communication…
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts
Nan Xue, Yaping Sun, Zhiyong Chen +5
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensive…
Codebook-enabled Generative End-to-end Semantic Communication Powered by Transformer
Peigen Ye, Yaping Sun, Shumin Yao +3
Codebook-based generative semantic communication attracts increasing attention, since only indices are required to be transmitted when the codebook is shared between transmitter an…
Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication
Shumin Yao, Xiaodong Xu, Hao Chen +2
Cross-technology communication (CTC) is a promising technique that enables direct communications among incompatible wireless technologies without needing hardware modification. How…
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
Xiangyu Gao, Yaping Sun, Dongyu Wei +4
With the proliferation of edge computing, efficient AI inference on edge devices has become essential for intelligent applications such as autonomous vehicles and VR/AR. In this co…
Knowledge Base Enabled Semantic Communication: A Generative Perspective
Jinke Ren, Zezhong Zhang, Jie Xu +4
Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. However, providing effective semantic representation is quit…
Joint Computing, Pushing, and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learning
Xiangyu Gao, Yaping Sun, Hao Chen +2
Mobile edge computing (MEC) networks bring computing and storage capabilities closer to edge devices, which reduces latency and improves network performance. However, to further re…
Zero-shot Multi-level Feature Transmission Policy Powered by Semantic Knowledge Base
Yaping Sun, Hao Chen, Xiaodong Xu +2
Remote zero-shot object recognition, i.e., offloading zero-shot object recognition task from one mobile device to remote mobile edge computing (MEC) server or another mobile device…