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

Data-Model Integration (DMI) for Wireless Advancements

Data-Model Integration (DMI) for Wireless Advancements

IEEE ICCC 2024 Workshop on

Data-Model Integration (DMI) for Wireless Advancements

Hangzhou, China|7-9 August 2024

ORGANIZING COMMITTEE  

Zhuangzhuang Cui, KU Leuven, Belgium, zhuangzhuang.cui@kuleuven.be

Jiaqi Xu, University of California, Irvine, The USA,  xu.jiaqi@uci.edu

Ruihong Jiang, Beijing University of Posts and Telecommunications, China,  rhjiang@bupt.edu.cn

Peize Zhang, University of Oulu, Finland, peize.zhang@oulu.fi

 

SCOPE AND MOTIVATION

The rapid evolution of wireless communications, including the forthcoming 6G, necessitates innovative approaches to create an intelligent, dynamic, and efficient wireless interface, which will leverage both data-driven insights and model-based techniques. In this context, the integration of data analytics and modeling methodologies emerges as a pivotal enabler, offering new insights, tools, and strategies to address complex challenges and exploit the abundant opportunities in wireless communications and networks. The concept of Data-Model Integration (DMI) seeks to bridge the gap between physically intuitive modeling and artificially efficient learning frameworks, harnessing the complementary strengths of empirical-analytical methods, and innovating the hybrid interface of wireless systems.

This workshop explores the challenges, opportunities, methodologies, and applications of DMI innovations. By combining empirical data generated by wireless components and theoretical models in wireless transmission, DMI unlocks new frontiers in wireless communication, e.g., from enhanced spectrum utilization and intelligent resource allocation to dynamic adaptation and self-optimization. By bringing together diverse domains including wireless communication and data science, and different sectors from both academia and industry, we seek to foster interdisciplinary collaboration of DMI and accelerate its real implementation.

 

TOPICS OF INTEREST

The workshop will feature the state-of-the-art original research contributions including (but not limited to):

  • DMI-based propagation and radio channel characterization and estimation
  • DMI-enabled integrated sensing and communication design and optimization
  • Embedding AI/ML frameworks with wireless communications using DMI
  • DMI-enabled digital twin for cyber-physical wireless networks
  • DMI-based cellular/vehicular/UAV network design and optimization
  • Integration schemes, strategies, and approaches of DMI wireless interface
  • Performance limit/trade-off evaluation and validation of DMI approaches
  • Applications of DMI in emerging wireless technologies (e.g., ORAN, NTN)
  • Case studies of real-world implementation of DMI in wireless networks
  • Emerging trends and future directions in DMI for wireless advancements

 

KEYNOTE SPEAKERS

Sofie Pollin, Modeling-Learning Interface for 6G Wireless Communications, KU Leuven, Belgium 

 

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&track=122837

Patrons

Organizer

Co-Organizers