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Title Sensing Metric-Based Hybrid Underlay/Overlay Transmission Framework For Cr-Iot Networks For Smart City Applications
ID_Doc 48362
Authors Bala I.; Mijwil M.M.; Abotaleb M.; El-Kenawy E.-S.M.; Ibrahim A.
Year 2023
Published IET Conference Proceedings, 2023, 44
DOI http://dx.doi.org/10.1049/icp.2024.0952
Abstract With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results. © The Institution of Engineering & Technology 2023.
Author Keywords CR-IoT; hybrid transmission; Sensing; soft sensing metric; throughput


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