International Workshop on Artificial Intelligence
for Mobile and Ubiquitous Communication System

Scope

Nowadays, Artificial Intelligence (AI) are widely used in the many applications of wireless communications, which has received much attention as a key enabler for future mobile and ubiquitous communication system. These AI methods of Machine Learning (ML), Deep Learning (DL) and Deep Reinforcement Learning (DRL) have been extensively improve the performance of wireless communication systems. Therefore, AI methods have a great potential to meet the various requirements of mobile and ubiquitous system, Internet of Things, networking, self-adaptive systems, data management and services, context-aware computing, and many other scenarios.

Due to the new challenges of future mobile and ubiquitous communication system, such as high speed and accurate processing requirements, complex scenarios with unknown channel models, traditional methods are no longer suitable, but AI methods bring much more potential application. Just as AI methods have become a new hotspot in the physical-layer wireless communications and conventional communication theories. Currently AI methods show promising performance improvements, but it is lack of solid analytical tools and universal network architectures. Therefore, the model-driven deep network model is suitable for dealing with future mobile and ubiquitous communication system which can be modelled with interpretability. However, it is important to distinguish new capabilities created by AI technologies and rethink communication systems based on AI-driven schemes. At the same time, the problems brought by the introduction of AI technology into communication system, such as how to reduce the complexity of AI algorithm to make it suitable for lightweight devices and so on are also important directions in the future.

This workshop focuses on the state-of-the-art research of AI technologies in the future mobile and ubiquitous communication system. In this workshop, we invite submissions of high-quality original technical and survey papers, which have not been published previously, on AI techniques and their applications in future mobile and ubiquitous communication system.

Submit Workshop Paper

Topics

The topics of interest include, but are not limited to:

AI based technologies for next-generation mobile communications
AI based technologies for Internet of Things
AI based technologies for mobile user experience
AI based technologies for user behaviour analysis and modelling
AI based techniques for Urban/mobile crowd-sensing
AI based wireless access technologies
AI based modulation and coding for heterogeneous networks
AI based technologies for signal classification
AI based technologies for crowdsourcing – platforms and applications
AI strategies for mobile cloud computing
AI based learning schemes for resource management
AI based optimization policies for wireless network control
AI based positioning and tracking in mobile networks
AI based communication hardware design
Light neural network applications for portable devices with high efficiencies and low costs
Marginal AI applications on mobile edge computing and fog computing
Model and knowledge driven deep learning technologies

The page limit for accepted regular workshop papers is 6 pages, including all figures, tables, and references.

Workshop Organizers

Prof. Yun Lin, Harbin Engineering University, Email: [email protected]
Prof. Ya Tu, Harbin Engineering University, Email: [email protected]
Prof. Dr. Vijayakumar Varadarajan, University of New South Wales, Email: [email protected]