The Best Paper Award of EAI MMS 2020 goes to the authors of the papers:

Energy Efficiency Optimization for Subcarrier Allocation-based SWIPT in OFDM Communications
Xin Liu (Dalian University of Technology)
Yuting Guo (Dalian University of Technology)

Perceptual Quality Enhancement with Multi-scale Deep Learning for Video Transmission: A QoE Perspective
Chaoyi Han (Tsinghua University)
Yiping Duan (Tsinghua University)
Xiaoming Tao (Tsinghua University)
Rundong Gao (Tsinghua University)
Jianhua Lu (Tsinghua University)

The Best Student Paper Award goes to the paper:

The Design Of An Intelligent Monitoring System For Human Action
Xin Liang (Beijing Institute of Technology)
Mingfeng Lu (Beijing Institute of Technology)
Tairan Chen (Beijing Institute of Technology)
Zhengliang Wu (Beijing Institute of Technology)
Fangzhou Yuan (Beijing Institute of Technology)

Congratulations!

All accepted and presented papers will be subjected for publishing by Springer to be made available through SpringerLink Digital Library.

Past volume of EAI AICON is indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal (IF: 2.602)

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Collaborative Computing (Open Access)
• EAI Endorsed Transactions on Mobile Communications and Applications (Open Access)

Additional publication opportunities:

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series

• 1. Deep Learning/Machine Learning on Information and Signal Processing
• 2. AI in Ubiquitous Mobile Wireless Communications
• 3. AI in SAR/ISAR Target Detection
• 4. AI in UAV-assisted wireless communications
• 5. Smart Education: Educational Change in the age of artificial intelligence
• 6. Recent advances in AI and their applications in future electronic and information field

Recent developments in artificial intelligence (AI) and machine learning, especially in deep learning, has stimulated growing interests to incorporate AI and machine learning into communication systems and networks. While some researchers have advocated applying deep learning tools to communication system (especially receivers) design, others are doubtful as to how much benefits these tools can offer. On one hand, communication systems have been designed and optimized by generations of dedicated efforts for bandwidth, power, and complexity efficiency, and reliability, leaving little room for improvements in most cases. On the other hand, deep learning enabled networks, supported by results such as universal approximation theorem, seem to promise a new and simple design regime where near optimal performance can be achieved by merely using certain ready to use deep learning modules, applying them to communication design problems, and tuning them based on the easily generated training data. The deep learning based approach may offer some new design approaches for traditionally difficult signal processing tasks in communications and networks.

This conference is meant to stimulate the debate and provide a forum for researchers working in related problems to exchange ideas and recent results (both positive and negative ones) in applying artificial intelligence to communications and networks. Both supervised learning and unsupervised learning, reinforcement learning, and recent developments in generative adversarial networks, and game-theoretic setups are also of great interests.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.