Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …

The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and
prospective application areas, such as smart metering, smart homes, smart industries, and …

Spectrum scarcity due to inefficient utilisation has ignited a plethora of dynamic spectrum
access solutions to accommodate the expanding demand for future wireless networks …

In recent years, the usage of wireless devices and wireless service has been increased
exponentially and it results in spectrum scarcity. The policies of regulatory authority employ …

Spectrum occupancy prediction is a key enabler of agile, and proactive spectrum utilization
in dynamic spectrum access networks. Bayesian-based techniques manifested by Hidden …

Spectrum occupancy prediction provides cognitive radio secondary users with proactive
ability to exploit spectrum opportunities. When feasible, spectrum sensing outcome can be …

Traffic prediction based on time series analysis methods that are low‐cost and low
computational complexity can offer more efficient resource management and better QoS …

Se describen los elementos fundamentales que componen la radio cognitiva y se analiza la
asignación de bandas espectrales. Dentro de los principales problemas en la inserción de …

In this paper, we present a modified Otsu's algorithm for solving the automatic threshold
estimation problem in energy detection based Cognitive Radio (CR) application. The …

In cases where the licensed radio spectrum is underutilized, cognitive radio technology
enables cognitive devices to sense and then dynamically access this scarce resource …