Conference Information
MLICOM 2020: EAI International Conference on Machine Learning and Intelligent Communications
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Shenzhen, China
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Call For Papers

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 Both original, unpublished contributions and survey/tutorial types of articles are encouraged.


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
    Space Network
    Neural Network & Learning
    Machine Learning &Network Security
Last updated by Dou Sun in 2020-04-02
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