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27 mai 2019

Special issue "Machine Learning for Intelligent Wireless Communications and Networking" Annals of telcomunication

Catégorie : Revues

While emerging wireless applications require massive devices with real-time communication, computation, management and control, the growing complexity of wireless communications and networking has made monitoring the multitude of elements intractable. As a result, embedding versatile machine intelligence into future wireless systems has aroused widespread concern in academia and industry. This trend is reflected in machine learning-based intelligent solutions, where a natural step is to learn optimal decisions in a proactive manner. Based on network measurement and user behavior data, a variety of learning techniques, such as deep learning, transfer learning and reinforcement learning play a significant role in the wireless networking area.

Artificial intelligence and machine learning facilitate complicated wireless scenarios analysis and prediction, and thus to make an optimal decision. We hope to incorporate artificial intelligence and machine learning algorithms into wireless communications and networking systems, aimed at improving QoS/QoE and make the systems smart, intelligent, and efficient. This special issue focuses on recent advances in architecture, algorithms, optimization, and models for intelligent wireless communications and networking. Original, unpublished contributions and invited articles, reflecting various aspects are encouraged.
The topics of interest for the special issue include, but are not limited to:
Lead Guest Editor
Guest Editors
Papers must describe original research and must not be simultaneously submitted to a journal or a conference with proceedings. Papers must be written in excellent English and should not exceed 10 pages. Previously published or accepted conference papers must contain at least 40% new material to be considered for the special issue. A covering letter to the Guest editors clearly describing the extensions made must accompany these types of submissions.
All submissions must be made using the instructions available at:
The authors can directly submit their papers at: https://www.editorialmanager.com/ante/ and must select the menu “Choose Article Type” and then the item “CfP: Machine Learning for Intelligent Wireless Communications and Networking”.
Deadline: June 30, 2019

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