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 …

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 a conventional cognitive radio (CR) network, only when the primary user's (PU) frequency
bands are sensed to be free, secondary users (SUs) can utilize these frequency band …

Traditional cognitive radio (CR) spectrum access techniques have been primitive and
inefficient due to being blind to the occupancy conditions of the spectrum bands to be …

Vehicular ad hoc network (VANET) has been established to mitigate road collisions and
traffic congestion and provide infotainment facilities to users. Allocated channels to VANET …

Cognitive radio (CR) is a key enabler of wireless in industrial applications especially for
those with strict quality-of-service (QoS) requirements. The cornerstone of CR is spectrum …

Accurate Spectrum Prediction is a promising solution to save sensing energy and time, it
also helps to increase throughput in cognitive radio systems. In this paper, we investigate …

This chapter delves into the intersection of artificial intelligence (AI) and spectrum
management, a field known as spectrum intelligence and adaptive resource management …

Spectrum prediction is known as an effective technique complementary to spectrum sensing,
which infers the spectrum evolution from historical spectrum data especially the historical …

A new paradigm for large-scale spectrum occupancy learning based on long short-term
memory (LSTM) recurrent neural networks is proposed. Studies have shown that spectrum …