Time-Frequency resource detection for Cognitive Radio - IoT (CR-IoT)
Résumé
The huge Spread of Internet of Things devices with
the increased instantly need for communicating with a frequency
bands has led to increased spectrum congestion and scarcity.
This has posed a significant challenge to the reliability and
efficiency of wireless communications. This paper introduces
CR-IoT, a novel approach that integrates Cognitive Radio
capabilities with Internet of Things to dynamically manage the
radio frequency spectrum. CR-IoT systems improve spectral
efficiency by enabling IoT devices to detect spectrum holes
and use them for Data transmission in real time. A critical
aspect of CR-IoT functionality is temporal spectrum sensing,
which involves not only detecting available spectrum, but also
predicting when and for how long these bands will remain free,
enabling more strategic and efficient use of the spectrum.This
paper explores the basic functionalities of CR-IoT, including
spectrum sensing, decision-making, mobility, and sharing, which
collectively improve the utilization of radio frequency resources.
It also outlines the current spectrum sensing techniques
within a CR-IoT system and proposes the development and
implementation of advanced algorithms specifically designed for
joint frequency and temporal prediction in CR-IoT systems.