Full-duplex (FD) wireless technology enables a radio to transmit and receive on the same
frequency band at the same time, and it is considered to be one of the candidate …

In order to provide meaningful data about spectrum use, occupancy measurements
describing the utilization rate of a specific frequency band should be conducted over a …

This paper proposes prediction-and-sensing-based spectrum sharing, a new spectrum-
sharing model for cognitive radio networks, with a time structure for each resource block …

In cognitive radio systems based on periodic sensing and transmission, a secondary user
(SU) senses the activity of a primary user (PU) in the sensing phase and then makes use of …

This article surveys the state of the art in spectrum prediction and learning, summarizes
applications, techniques, main metrics, computational complexity, and provides practical …

Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic
encryption and multi-layer data encapsulation, some classic classification methods have lost …

Traffic Classification (TC) systems are designed to identify the applications generating
network traffic. Recent advancements in TC leverage Deep Learning (DL) techniques …

Dynamic spectrum access (DSA)/cognitive radio (CR) systems can benefit from the
knowledge of the activity statistics of primary channels, which can use this information to …

Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems utilize spectrum sensing to
monitor spectrum status and decide transmission time in an opportunistic manner. This …

An accurate estimation of the primary statistics is essential for Cognitive Radio (CR)
systems. This knowledge can be exploited to enhance CR performance and reduce the …