Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Semantic Communications and Intellicise Networks: A Themed Issue in Honor...
share announcement

Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 9287

Special Issue Editors

Prof. Dr. Ping Zhang

E-Mail Website
Guest Editor
1. The State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen 518066, China
Interests: semantic communication; wireless communications
Prof. Dr. Shuguang Cui

E-Mail Website
Guest Editor
School of Science and Engineering and the Future Network of Intelligence Institute, the Chinese University of Hong Kong, Shenzhen 518172, China
Interests: large-scale data analytics; integration of computing and communication; machine learning for data-driven ICT systems; sensor networks and IoT; cognitive wireless communication networks; convex optimization; design synergy of system protocols and hardware
Prof. Dr. Jiangzhou Wang

E-Mail Website
Guest Editor
School of Engineering and Digital Arts, University of Kent, Canterbury CT2 7NT, UK
Interests: reconfigurable intelligent surfaces (RIS); joint communications and sensing (JCAS); machine learning for mobile communications; vehicular communications (V2X); cell-free mobile communications; massive MIMO and beamforming technologies; multiple access techniques, including NOMA and OFDMA
Prof. Dr. Xiang Cheng

E-Mail Website
Guest Editor
The State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing 100871, China
Interests: wireless channel modeling; vehicular communications (V2X); integrated sensing and communication; networked intelligence
Prof. Dr. Xiaodong Xu

E-Mail Website
Guest Editor
1. The State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen 518066, China
Interests: semantic communications; intellicise communication system; moving networks; mobile edge computing and caching
Prof. Dr. Nan Ma

E-Mail Website
Guest Editor
1. The State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2. Department of Broadband Communication, Peng Cheng Laboratory, Shenzhen 518066, China
Interests: semantic communications; wireless communication theory and testing technology; big data applications

Special Issue Information

Dear Colleagues,

Prof. Zhang is currently a professor at Beijing University of Posts and Telecommunications, the Director of the State Key Laboratory of Networking and Switching Technology. He is an Academician of the Chinese Academy of Engineering (CAE).

Prof. Zhang has been consistently engaged in the theoretical research and technology innovation of mobile communication, and has made some fundamental contributions to 4G technology, which have now become part of the international mainstream. He proposed broadband TDD (time division duplex) high-throughput mobile communication theory and methods, developed cognitive heterogeneous network architecture, presided over the first Chinese 4G TDD test and demonstration, and independently developed TDD multi-mode test technology and instruments. In 2019, Pro. Zhang was elected as an IEEE fellow for his leadership in the theory, standardization, and application of wireless technologies. In the field of wireless communication, Professor Zhang has published more than ten books, filed over 310 invention patents, and published more than 560 academic papers.

With the development and commercialization of 5G, 6G will require disruptive technologies which focus on the most fundamental issues of wireless communications. Looking back at Shannon and Weaver's communication theory, communication could be conducted in three levels, i.e., syntactic, semantic, and pragmatic levels. Before 5G, communication technology evolution focused on the syntactic level, i.e., ensuring accurate symbol transmissions. Now we believe that 6G has the opportunity and capability to embrace semantic communication, i.e., guaranteeing precise conveying of the desired meaning over the transmitted symbols. Compared with the traditional communication systems, a semantic communication system needs to understand, extract, and transmit the semantic features from the source information. When semantic communication meets artificial intelligence (AI), an intellicise (intelligent-concise) communication network emerges and becomes an innovative communication paradigm by enabling the model transmission to aid in understanding semantics. Professor Zhang has been devoted to the theoretical research, system development, and performance verification of semantic communication and intellicise networks, proposing related semantic communication theories and developing prototypes to support semantic communication experiments with multi-mode information sources, such as images and videos.

This Special Issue is dedicated to recognizing Professor Zhang's outstanding contribution to the field of wireless communications and exploration of semantic communication and intellicise networks. It will cover a selection of recent research and review articles related to semantic communication architecture, semantic information extraction, joint source-channel coding, semantic information recovery, semantic information transmission, intellicise network architecture, model transmission, model slicing, semantic trial systems, and performance verifications.

Prof. Dr. Ping Zhang
Prof. Dr. Shuguang Cui
Prof. Dr. Jiangzhou Wang
Prof. Dr. Xiang Cheng
Prof. Dr. Xiaodong Xu
Prof. Dr. Nan Ma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • semantic communication
  • intellicise (intelligent-concise) networks
  • joint source-channel coding
  • AI-integrated wireless communications
  • AI-aided channel modeling
  • model transmission
  • edge intelligence
  • semantic information extraction
  • semantic information recovery
  • semantic information transmission
  • model slice
  • model-driven vehicular networks
  • model-driven metaverse
  • model pruning
  • model distillation
  • semantic communication-assisted digital twin

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 2552 KiB  
Article
Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Models
by Mengshu Song, Nan Ma, Chen Dong, Xiaodong Xu and Ping Zhang
Electronics 2023, 12(22), 4637; https://doi.org/10.3390/electronics12224637 - 13 Nov 2023
Viewed by 1132
Abstract
The implementation of joint source-channel coding (JSCC) schemes using deep learning has accelerated the development of semantic communication research. Existing JSCC schemes based on deep learning (DL) are trained on a fixed signal-to-noise ratio (SNR); however, these trained models are not designed for [...] Read more.
The implementation of joint source-channel coding (JSCC) schemes using deep learning has accelerated the development of semantic communication research. Existing JSCC schemes based on deep learning (DL) are trained on a fixed signal-to-noise ratio (SNR); however, these trained models are not designed for scenarios in which the SNR is dynamic. Therefore, a novel semantic adaptive model for semantic communication—called joint source-channel coding with adaptive models (AMJSCC)—that has a semantic adaptive model selection (SAMS) module is proposed. The joint source-channel encoding (JSCE) model and the joint source-channel decoding (JSCD) model adapt according to both real-time channel conditions and system available computational power resources. Furthermore, residual networks with different layers are investigated to further improve the accuracy of information recovery. Simulation results demonstrate that our model can achieve higher recovery similarity and is more robust and adaptive to the SNR and communication resources. Meanwhile, compared to the state-of-the-art deep JSCC methods, it reduces storage space and communication resource consumption. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

13 pages, 3405 KiB  
Article
A Novel Statistical Analysis Algorithm for Angular Sampling for Measurement of the TRP of Spurious Emissions
by Gan Guo, Xiaoli Yang, Nan Ma, Ran Wei, Yi Zhou, Yufei Xiong, Xiaodong Xu and Ping Zhang
Electronics 2023, 12(20), 4290; https://doi.org/10.3390/electronics12204290 - 17 Oct 2023
Viewed by 709
Abstract
The total radiated power (TRP) has been stipulated as the spurious emission limit for a mmWave terminal. Angular sampling is crucial for ensuring the accuracy of the measurement of the TRP of spurious emissions while improving measurement efficiency. In this study, we investigate [...] Read more.
The total radiated power (TRP) has been stipulated as the spurious emission limit for a mmWave terminal. Angular sampling is crucial for ensuring the accuracy of the measurement of the TRP of spurious emissions while improving measurement efficiency. In this study, we investigate the sampling requirements for different TRP measurement methods. A novel algorithm based on the statistical analysis of the measurement uncertainty caused by the sampling step is proposed. Specifically, the HPBW of the entire machine radiation pattern is considered instead of that of a simple antenna array. This study was conducted in strict compliance with regulatory requirements to ensure that the statistical algorithm was more closely aligned with practical testing. Based on this, the maximum sampling steps allowed by different terminal models while maintaining measurement accuracy were analyzed. The simulation results demonstrate that negligible measurement uncertainty was produced when the sampling step of the full spherical grid method was less than 6∘. However, for the two-cut and the three-cut methods, a maximum of 2 dB of measurement uncertainty should be considered. These findings are valuable inputs for the ongoing work on electromagnetic compatibility testing and standardization. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

26 pages, 1482 KiB  
Article
Architecture for Self-Evolution of 6G Core Network Based on Intelligent Decision Making
by Lu Lu, Chao Liu, Chunhong Zhang, Zheng Hu, Shangjing Lin, Zihao Liu, Meng Zhang, Xinshu Liu and Jinhao Chen
Electronics 2023, 12(15), 3255; https://doi.org/10.3390/electronics12153255 - 28 Jul 2023
Cited by 1 | Viewed by 1809
Abstract
The rapid progress of 6G mobile communication technologies has sparked a great deal research interests. The 6G core network architecture faces formidable challenges due to the escalating complexity of network service demands and diverse application scenarios. In response, our research endeavors to tackle [...] Read more.
The rapid progress of 6G mobile communication technologies has sparked a great deal research interests. The 6G core network architecture faces formidable challenges due to the escalating complexity of network service demands and diverse application scenarios. In response, our research endeavors to tackle these challenges by proposing a self-evolving architecture based on intelligent decision making. Inspired by the principles of biological morphological evolution, our architecture empowers the core network to dynamically adapt and reshape itself in order to effectively address the evolving communication environments. To facilitate this self-evolutionary process, we introduce a comprehensive framework encompassing mechanisms, architecture, agents, and algorithms that enable the network to autonomously generate and optimize its own structure, thereby ensuring adaptability to a wide range of application scenarios. By conducting concept proof simulation experiments, we have demonstrated the effectiveness of our self-evolution algorithm, which enables the 6G core network to make rational evolving decisions and exhibit remarkable adaptability to various application scenarios. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

18 pages, 4600 KiB  
Article
The Indoor Positioning Method Time Difference of Arrival with Conic Curves Utilizing a Novel Networking RFID System
by Xize Wang, Haiyu Ding, Zhenghu Luo, Xiaodong Xu, Yinghui Wei, Yuanhang Li, Qing Wang and Qianfan Jia
Electronics 2023, 12(15), 3236; https://doi.org/10.3390/electronics12153236 - 26 Jul 2023
Cited by 1 | Viewed by 886
Abstract
At present, the demand for accurate indoor positioning at a low cost is increasing. Based on the architecture of networking passive radio frequency identification (RFID) systems, research into passive location algorithms is important for finding a location solution with ultra-low cost, easy implementation, [...] Read more.
At present, the demand for accurate indoor positioning at a low cost is increasing. Based on the architecture of networking passive radio frequency identification (RFID) systems, research into passive location algorithms is important for finding a location solution with ultra-low cost, easy implementation, and no required maintenance. In this paper, TDACC (time difference of arrival with conic curves) based on signal propagation time is proposed, which breaks down the positioning problem into solving the intersection of an ellipse and a hyperbola. The results indicate that this method has a positioning error of 0 m in the absence of signal interference. When the time delay fluctuates to 1 ns and 2 ns, the average errors of TDACC are 0.19 m and 0.33 m, respectively. Different from other time-based localization methods, the proposed method only requires two distribution nodes without time synchronization, which reduces the system cost. These results will help to promote the deeper semantic communication level fusion of passive RFID. By improving the coordinate positioning in the semantic prior knowledge base, this method will lead to more efficient and accurate industry applications. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

14 pages, 909 KiB  
Article
PC-SC: A Predictive Channel-Based Semantic Communication System for Sensing Scenarios
by Yutong Sun, Jianhua Zhang, Jialin Wang, Li Yu, Yuxiang Zhang, Guangyi Liu, Guofu Xie and Ji Li
Electronics 2023, 12(14), 3129; https://doi.org/10.3390/electronics12143129 - 19 Jul 2023
Viewed by 959
Abstract
Due to its significant efficiency, semantic communication emerges as a promising technique for sixth-generation (6G) networks. The wireless propagation channel plays a crucial role in system design, as it directly impacts transmission performance and capability. Given the increasingly complex communication scenarios, the channel [...] Read more.
Due to its significant efficiency, semantic communication emerges as a promising technique for sixth-generation (6G) networks. The wireless propagation channel plays a crucial role in system design, as it directly impacts transmission performance and capability. Given the increasingly complex communication scenarios, the channel exhibits high dynamism and poses challenges in acquisition. In such cases, sensing-based methods have drawn significant attention. To enhance system robustness, we propose a predictive channel-based semantic communication (PC-SC) system tailored for sensing scenarios. The PC-SC system is designed with an orientation toward applications by directly taking semantic targets into account. It comprises three modules: transmitter, predictive channel, and receiver. Firstly, at the transmitter, instead of employing global semantic coding, the scheme emphasizes preserving semantic information through target-based semantic extraction. Secondly, the channel prediction module predicts the dynamic wireless channel by utilizing the extracted target-based semantic information. Finally, at the receiver, the target-based semantic information can be utilized to meet specific application requirements. Alternatively, pre-captured background and semantic targets can be composited to fulfill complete image reconstruction needs. We evaluate the proposed approach by using a sensing image transmission scenario as a case study. Experimental results demonstrate the superiority of the PC-SC system in terms of image reconstruction performance and cost savings of bit. We employ beam prediction as a channel prediction task and find that the targets-based method outperforms the complete image-based approach in terms of efficiency and robustness, which can provide 32% time-saving. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

25 pages, 9616 KiB  
Article
Conditional Encoder-Based Adaptive Deep Image Compression with Classification-Driven Semantic Awareness
by Zhongyue Lei, Weicheng Zhang, Xuemin Hong, Jianghong Shi, Minxian Su and Chaoheng Lin
Electronics 2023, 12(13), 2781; https://doi.org/10.3390/electronics12132781 - 23 Jun 2023
Cited by 1 | Viewed by 1367
Abstract
This paper proposes a new algorithm for adaptive deep image compression (DIC) that can compress images for different purposes or contexts at different rates. The algorithm can compress images with semantic awareness, which means classification-related semantic features are better protected in lossy image [...] Read more.
This paper proposes a new algorithm for adaptive deep image compression (DIC) that can compress images for different purposes or contexts at different rates. The algorithm can compress images with semantic awareness, which means classification-related semantic features are better protected in lossy image compression. It builds on the existing conditional encoder-based DIC method and adds two features: a model-based rate-distortion-classification-perception (RDCP) framework to control the trade-off between rate and performance for different contexts, and a mechanism to generate coding conditions based on image complexity and semantic importance. The algorithm outperforms the QMAP2021 benchmark on the ImageNet dataset. Over the tested rate range, it improves the classification accuracy by 11% and the perceptual quality by 12.4%, 32%, and 1.3% on average for NIQE, LPIPS, and FSIM metrics, respectively. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Graphical abstract

15 pages, 3023 KiB  
Article
Decoupling Source and Semantic Encoding: An Implementation Study
by Yulong Feng, Jin Xu, Chulong Liang, Guanghui Yu, Liujun Hu and Tao Yuan
Electronics 2023, 12(13), 2755; https://doi.org/10.3390/electronics12132755 - 21 Jun 2023
Cited by 1 | Viewed by 1345
Abstract
Despite the remarkable achievements of modern communication systems based on Shannon’s theory, there is still considerable room for exploration in information transmission capacity, and semantic communication technology has emerged as a promising approach in this regard. Nonetheless, the benefits of semantic communication remain [...] Read more.
Despite the remarkable achievements of modern communication systems based on Shannon’s theory, there is still considerable room for exploration in information transmission capacity, and semantic communication technology has emerged as a promising approach in this regard. Nonetheless, the benefits of semantic communication remain elusive, and the absence of a unified system model has hindered practical implementation. In this context, we contend that semantic communication can benefit from data distortion and the incorporation of natural language modeling information, such that source coding with semantic modeling information does not compromise the performance of semantic communication systems. To fortify our stance, a novel Separated Data-Semantic Coding (SDSC) system is proposed, which disentangles the source coding and semantic coding. Furthermore, relevant experiments are conducted to validate the contention and the SDSC system. By illuminating the superiority of semantic communication, the research not only contributes to the advancement of semantic communication technologies but also facilitates the development of more practical communication systems. Full article
(This article belongs to the Special Issue Semantic Communications and Intellicise Networks: A Themed Issue in Honor of Prof. Ping Zhang)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop