Información de la conferencia
MLICOM 2020: EAI International Conference on Machine Learning and Intelligent Communications
http://mlicom.org/Día de Entrega: |
2020-04-15 |
Fecha de Notificación: |
2020-05-29 |
Fecha de Conferencia: |
2020-07-25 |
Ubicación: |
Shenzhen, China |
Años: |
5 |
Vistas: 8488 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
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 Both original, unpublished contributions and survey/tutorial types of articles are encouraged.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
Última Actualización Por Dou Sun en 2020-04-02
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CCF | Nombre Completo | Factor de Impacto | Editor | ISSN |
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b | IEEE Transaction on Wireless Communications | 2.152 | IEEE | 1536-1276 |
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IEEE Wireless Communications | 11.39 | IEEE | 1536-1284 | |
IEEE Transactions on Wireless Communications | 6.394 | IEEE | 1536-1276 | |
China Communications | 0.424 | China Communications Magazine, Co., Ltd. | 1673-5447 | |
Engineering Computations | 1.246 | Emerald | 0264-4401 | |
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a | Journal of Machine Learning Research | Microtome Publishing | 1532-4435 | |
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Nombre Completo | Factor de Impacto | Editor |
---|---|---|
IEEE Transaction on Wireless Communications | 2.152 | IEEE |
Journal of Information Science Theory and Practice | KISTI | |
IEEE Wireless Communications | 11.39 | IEEE |
IEEE Transactions on Wireless Communications | 6.394 | IEEE |
China Communications | 0.424 | China Communications Magazine, Co., Ltd. |
Engineering Computations | 1.246 | Emerald |
International Journal of Mobile Learning and Organisation | Inderscience | |
International Journal of Document Analysis and Recognition | 0.405 | Springer |
Journal of Machine Learning Research | Microtome Publishing | |
Statistical Methodology | Elsevier |
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