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
Date for notification: 15 June 2024
Deadline for final paper submission: 1 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
