Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

Spectrum sensing is one of the most important and challenging tasks in cognitive radio. To
develop methods of dynamic spectrum access, robust and efficient spectrum sensors are …

The methods of dynamic access to spectrum developed in Cognitive Radio require efficient
and robust spectrum detectors. Most of these detectors suffer from four main limits: the …

An In-band-full-duplex (FD) technology-empowered cognitive radio (CR) system with a non-
time-slotted primary user activity is presented in this work. FD here means that the …

In‐band full‐duplex (FD) transceiver has been recently proposed to double the channel
efficiency. The main challenge of such FD transceiver consists in achieving an efficient self …

In this paper, we present a new Transmitting-Receiving-Sensing (TRS) mechanism for full-
duplex cognitive radio. Our proposed mechanism permits Secondary Users (SUs) to …

In this paper, we present a new Cognitive Radio (CR) paradigm based on the Full-Duplex
mechanism. In the classical Full-Duplex CR (FD-CR) system, the Secondary User (SU) can …

Microstrip patch antennas are popular due to their appealing characteristics such as low
profile, light weight, low cost, ease of fabrication, and integration with RF devices. A …

Full-Duplex has been emerged in Cognitive Radio Network in order to avoid the silence
period of the Secondary User (SU) during the Spectrum Sensing. SU should monitor the …

This paper proposes optimal solution for spectrum sensing using genetic algorithm
approach in 5G broadband wireless networks. In this approach, fitness values for primary …