IEEE/CIC International Conference on Communications in China
7–9 August 2024 // Hangzhou, China
Ubiquitous Communications @ Future

Empowering Wireless Communications and Networking with Generative AI

Empowering Wireless Communications and Networking with Generative AI

IEEE ICCC 2024 Workshop on

Empowering Wireless Communications and Networking with Generative AI

Hangzhou, China|7-9 August 2024

ORGANIZING COMMITTEE  

Geng Sun, Jilin University, China, sungeng@jlu.edu.cn

Dusit Niyato, Nanyang Technological University, Singapore, dniyato@ntu.edu.sg

Jiawen Kang, Guangdong University of Technology, China, kavinkang@gdut.edu.cn

Dong In Kim, Sungkyunkwan University, South Korea, dongin@skku.edu

Hongyang Du, Nanyang Technological University, Singapore, hongyang001@e.ntu.edu.sg

 

SCOPE AND MOTIVATION

With the widespread use of mobile devices and the growing demand for user services, we have witnessed a significant surge in data traffic in communications and networks. In the field of communications and networks, traditional discriminative AI has already played an indispensable role in maintaining and enhancing network efficiency and reliability. Recently, Generative AI (GAI), as a new paradigm for data generating, processing, and regenerating, has spawned a lot of applications and been used in various scenarios, such as Chat-GPT for natural language interaction and Stable Diffusion for image generation. Distinct from discriminative AI, which improves network performance by analyzing or categorizing existing data, GAI employs cutting-edge generative techniques such as Generative Adversarial Networks (GANs), Transformers, and diffusion models. These innovative methods enable GAI to generate unique, personalized solutions for communication and network optimization.

Investigating novel GAI algorithms to revolutionize communication and network strategies for the next generation of mobile services is crucial. These innovative approaches promise to significantly enhance the functionality, security, and privacy of communications and networks, catering to the needs of next-generation communications and networks, such as the Internet of Things (IoT), Vehicular Networks, Space-Air-Ground Integrated Networks (SAGIN), Unmanned Aerial Vehicle (UAV) networks, Intelligent Reflecting Surface (IRS) aided communication and various physical layer communications, etc. As we delve into these various applications in communications and networks, the scalability, adaptability, and intelligence GAI brings can redefine our expectations for next-generation communications and networks. Although GAI has shown great potential in next-generation communication networks, it also faces several challenges. The questions could be as follows: (1) Why is GAI deemed appropriate for communications and networks? (2) Which specific challenges within communications and networks can GAI tackle? (3) how can GAI be effectively utilized in communications and networks? Therefore, in view of the recent surge in relevant research, this workshop aims to explore the burgeoning intersection of GAI in communications and networks, with a focus on GAI by sharing recent research findings, technological advancements, and future trends from academia and industry.

 

TOPICS OF INTEREST

We seek original work not currently under review by any other journal/magazine/conference. Topics of interest include, but are not limited to:

  • Resource management in wireless communications and networks with GAI
  • Task Offloading in wireless communications and networks with GAI
  • Content and cache management in wireless communications and networks with GAI
  • Networking planning and optimization with GAI
  • Network operation and control with GAI
  • Network protocol design with GAI
  • Network performance evaluation with GAI
  • Trust, security and privacy in wireless communications and networks with GAI
  • Virtual reality and the meta-universe with GAI
  • Vehicular networks, IoT, SAGIN, UAV networks with GAI
  • Physical layer communications (e.g., IRS and XL-MIMO) with GAI
  • Green communications with GAI
  • Semantic communication with GAI
  • Integrated sensing and communication with GAI
  • Combination of GAI and some traditional network optimization algorithms
  • Testbeds of GAI in wireless communications and networks

 

KEYNOTE SPEAKERS

Shiwen Mao, AIGC for Wireless Sensing, Auburn University, USA

 

IMPORTANT DATES

Deadline for paper submission: 1 June 2024  17 June 2024  20 June 2024

Date for notification: 15 June 2024  1 July 2024 3 July 2024

Deadline for final paper submission: 1 July 2024  7 July 2024 10 July 2024

 

SUBMISSION INSTRUCTIONS

All papers for workshop should be submitted via EDAS through the following link: https://edas.info/newPaper.php?c=32115

Patrons

Organizer

Co-Organizers