Decentralized Adaptive Spectrum Learning in Wireless IoT Networks Based on Channel Quality Information
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3167016
Abstract: In the Internet of Things (IoT) context such as low power wide area network (LPWAN), it is essential to reduce the packet losses, e.g., to save energy. Decentralized artificial intelligence (AI) techniques have been proposed… read more here.
Keywords: wireless iot; learning wireless; decentralized adaptive; spectrum learning ... See more keywords
Transfer Learning for Wireless Networks: A Comprehensive Survey
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2022.3175942
Abstract: With outstanding features, machine learning (ML) has become the backbone of numerous applications in wireless networks. However, the conventional ML approaches face many challenges in practical implementation, such as the lack of labeled data, the… read more here.
Keywords: transfer learning; learning wireless; wireless networks; comprehensive survey ... See more keywords
Spatial Deep Learning for Wireless Scheduling
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2019.2904352
Abstract: The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task. The traditional method involves first estimating all the interfering channel strengths and then optimizing the scheduling… read more here.
Keywords: learning wireless; spatial deep; deep learning; network ... See more keywords
Intelligent Spectrum Learning for Wireless Networks With Reconfigurable Intelligent Surfaces
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3064042
Abstract: Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, since an RIS is capable of reflecting the desired signals through appropriate phase shifts. However, the intended signals that… read more here.
Keywords: reconfigurable intelligent; spectrum learning; wireless networks; learning wireless ... See more keywords