MLICOM 2020 (EAI International Conference on Machine Learning and Intelligent Communications) is an academic conference held in Shenzhen, China on 2020-07-25. The paper submission deadline is 2020-04-15. Acceptance notifications are sent on 2020-05-29.
Scope
As we all know, one of the basic challenges in wireless system design is to manage and allocate resources to meet the traffic demand under difficult conditions. The future network will have the ability of self-learning and self-adaptive, so as to meet the requirements of user equipment, wireless conditions and traffic characteristics generated by various applications. By learning and predicting the past behaviour patterns, output results and behaviours of similar entities on the unified network or other networks, the decision quality of the network will continue to improve. How to apply AI algorithm to communication network effectively will be the interest of this meeting.
Artificial intelligence and all its derivative technologies form the key technology foundation of many advanced algorithms applied in wireless communication, and the application range is from optimization to OSI (open system interconnection) model physical layer processing. We hope that we can apply the artificial intelligence algorithm to the communication system, which can help people make more intelligent decisions in the system design, automatic operation and optimization and other core links. We invite high-quality original research papers to describe recent and anticipated challenges or discoveries, as well as potential intelligent solutions for future mobile communications and networks.
We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. Both original, unpublished contributions and survey/tutorial types of articles are encouraged.
Topics
We welcome contributions from the following fields:
Intelligent cloud-support communications
Intelligent resource (e.g., spectrum, power) allocation schemes
Intelligent energy-aware/green communications
Intelligent software defined flexible radios
Intelligent cooperative networks
Intelligent antennas design and dynamic configuration.
Intelligent Massive MIMO communication systems
Intelligent positioning and navigation systems
Intelligent cooperative/distributed coding
Intelligent wireless sensor networks
Intelligent satellite communications
Intelligent radar signal processing
Machine learning algorithm & cognitive radio networks
Machine learning and information processing in wireless sensor networks
Decentralized learning for wireless communication systems
Smart unmanned vehicular technology
Drone Technology
Drone Technology & Adaptive Sensing
Filtering & Interference Cancellation
Spacecraft
Space Network
Neural Network & Learning
Machine Learning &Network Security