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
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
Federated Spectrum Learning for Reconfigurable Intelligent Surfaces-Aided Wireless Edge Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3178445
Abstract: Increasing concerns on intelligent spectrum sensing call for efficient training and inference technologies. In this paper, we propose a novel federated learning (FL) framework, dubbed federated spectrum learning (FSL), which exploits the benefits of reconfigurable… read more here.
Keywords: wireless; spectrum learning; accuracy; reconfigurable intelligent ... See more keywords