Wireless semantic communications : concepts, principles, and challenges
by
Sun, Yao, editor.
Title
:
Wireless semantic communications : concepts, principles, and challenges
Author
:
Sun, Yao, editor.
ISBN
:
9781394223312
9781394223329
9781394223336
Physical Description
:
1 online resource (xx, 202 pages) : illustrations (some color)
Contents
:
List of Contributions xiii -- Preface xvii -- 1 Intelligent Transceiver Design for Semantic Communication 1 Yiwen Wang, Yijie Mao, and Zhaohui Yang -- 1.1 Knowledge Base 1 -- 1.2 Source and Channel Coding 4 -- 1.3 Multiuser SC 7 -- 1.4 Transceiver Design for Single-Modal and Multimodal Data 13 -- 1.5 Challenges and Future Directions 16 -- 2 Joint Cell Association and Spectrum Allocation in Semantic Communication Networks 23 Le Xia, Yao Sun, and Muhammad Ali Imran -- 2.1 Introduction 23 -- 2.2 Semantic Communication Model 26 -- 2.3 Optimal CA and SA Solution in the PKM-Based SC-Net 32 -- 2.4 Optimal CA and SA Solution in the IKM-Based SC-Net 35 -- 2.5 Numerical Results and Discussions 38 -- 2.6 Conclusions 44 -- 3 An End-to-End Semantic Communication Framework for Image Transmission 47 Lei Feng, Yu Zhou, and Wenjing Li -- 3.1 Introduction 47 -- 3.2 The End-to-End Image Semantic Communication Framework Driven by Knowledge Graph 50 -- 3.3 Semantic Similarity Measurement 59 -- 3.4 Simulation 62 -- 3.5 Conclusion 63 -- 4 Robust Semantic Communications and Privacy Protection 67 Xuefei Zhang -- 4.1 Motivation and Introduction 67 -- 4.2 Robust Semantic Communication 68 -- 4.3 Knowledge Discrepancy-Oriented Privacy Protection for Semantic Communication 75 -- 4.4 Conclusion 84 -- 5 Interplay of Semantic Communication and Knowledge Learning 87 Fei Ni, Bingyan Wang, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang -- 5.1 Introduction 87 -- 5.2 Basic Concepts and RelatedWorks 88 -- 5.3 A KG-enhanced SemCom System 91 -- 5.4 A KG Evolving-based SemCom System 99 -- 5.5 LLM-assisted Data Augmentation for the KG Evolving-Based SemCom System 104 -- 5.6 Conclusion 105 -- 6 VISTA: A Semantic Communication Approach for Video Transmission 109 Chengsi Liang, Xiangyi Deng, Yao Sun, Runze Cheng, Le Xia, Dusit Niyato, and Muhammad Ali Imran -- 6.1 Introduction 109 -- 6.2 Video Transmission Framework in VISTA 110 -- 6.3 SLG-Based Transceiver Design in VISTA 111 -- 6.4 Simulation Results and Discussions 116 -- 6.5 Conclusions 120 -- 7 Content-Aware Robust Semantic Transmission of Images over Wireless Channels with GANs 123 Xuyang Chen, Daquan Feng, Qi He, Yao Sun, and Xiang-Gen Xia -- 7.1 Introduction 123 -- 7.2 System Model 124 -- 7.3 System Architecture 127 -- 7.4 Experimental Results 127 -- 7.5 Conclusion 130 -- 8 Semantic Communication in the Metaverse 133 Yijing Lin, Zhipeng Gao, Hongyang Du, Jiacheng Wang, and Jiakang Zheng -- 8.1 Introduction 133 -- 8.2 RelatedWork 134 -- 8.3 Unified Framework for SemCom in the Metaverse 137 -- 8.4 Zero-Knowledge Proof-Based Semantic Verification 142 -- 8.5 Diffusion Model-Based Resource Allocation 147 -- 8.6 Simulation Results 152 -- 8.7 Future Directions 155 -- 8.8 Conclusion 157 -- 9 Large Language Model-Assisted Semantic Communication Systems 163 Shuaishuai Guo, Yanhu Wang, Biqian Feng, and Chenyuan Feng -- 9.1 Introduction 163 -- 9.2 SSSC Using Pretrained LLMs 165 -- 9.3 SIAC Using Pretrained LLMs 171 -- 9.4 Future Direction of Using LLMs: Semantic Correction 178 -- 9.5 Conclusion 180 -- 10 RIS-Enhanced Semantic Communication 183 Bohao Wang, Ruopeng Xu, Zhaohui Yang, and Chongwen Huang -- 10.1 RIS-Empowered Communications 183 -- 10.2 Beamforming Design for RISs Enhanced Semantic Communications 184 -- 10.3 Privacy Protection in RIS-Assisted Semantic Communication System 189 -- 10.4 AI for RIS-Assisted Semantic Communications 191 -- 10.5 Conclusion 195 -- Acronyms 195 -- References 196 -- Index 199.
Abstract
:
"The concept of semantic communication was first introduced by Weaver in his landmark paper, which explicitly categorizes communication problems into three levels, including the technical problem at the bit level, the semantic problem at the semantic level, and the effectiveness problem at the information exchange level. Nowadays, the technical problem has been thoroughly investigated in the light of classical Shannon information theory, while the evolution toward semantic communication is just beginning to take shape, with the core focus of meaning delivery rather than traditional bit transmission. Concretely, semantic communication first refines semantic features and filters out irrelevant content by encoding the semantic information (i.e., semantic encoding) at the source, which can greatly reduce the amount of required bits while preserving the original meaning. Then, the powerful semantic decoders are deployed at the destination to accurately recover the source meaning from received bits (i.e., semantic decoding), even if there are intolerable bit errors at the syntactic level. Most importantly, through further leveraging matched background knowledge with respect to the observable messages between source and destination, users can acquire efficient exchanges for the desired information with ultra-low semantic ambiguity by transmitting fewer bits"-- Provided by publisher.
Local Note
:
John Wiley and Sons
Subject Term
:
Semantic networks (Information theory)
Réseaux sémantiques.
Genre
:
Electronic books.
Added Author
:
Sun, Yao,
Zhang, Lan,
Niyato, Dusit,
Imran, Muhammad Ali,
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 599312-1001 | Q387.5 .W57 2025 | | Wiley E-Kitap Koleksiyonu |