Annonce
Special issue "Machine Learning for Intelligent Wireless Communications and Networking" Annals of telcomunication
27 Mai 2019
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.
- Machine learning for QoS/QoE provisioning in wireless networks
- Machine learning for wireless and mobile multimedia applications
- Machine learning for resource allocation in virtualized wireless networks
- Machine learning for location based services
- Machine learning for privacy-preserving and security issues in wireless networks
- Machine learning for mobile crowd sensing
- Machine learning for Wireless Rechargeable Sensor Network
- Incentive for crowd sensing enabled machine learning systems
- Machine learning for cognitive radio networks
- Machine learning for wireless sensor networks
- Fog/edge computing enabled intelligent systems
- Machine learning for IoT
- Intelligent spectrum allocation
- Intelligent software defined wireless networks
- Intelligent cloud/fog-assisted wireless communications
- Intelligent cooperative Wireless safety charging networks
- Intelligent antennas design and dynamic configuration
- Intelligent Massive MIMO communication systems
- Intelligent positioning techniques
- Data mining in heterogeneous wireless networks
- Yuexin Li, Hubei University, Wuhan, China
- P.G. Spirakis, Computer Technology Institute, Patras, Greece
- Jiacun Wang, Monmouth University, New Jersey, USA
- Philippe Martins, Télécom ParisTech, France