… reason, the authors propose a hybrid combination of long short-term memory (LSTM) and
extreme learning machines (ELM) to learn … of cognitive radio in 5G and B5G networks from the …

… learning techniques for intelligent spectrum management with their paradigms of optimisation
for cognitive radio networks. … for the research community to work further in CR networks. …

… other wireless networks such as WSN (wireless sensor network)… improvements in terms of
network performance enhancement (… reasoning for VANET to enable automatic learning of the …

… For this reason, CR uses a Software Defined Radio (SDR) at the physical layer for
automatic configuration of transceiver parameters (bandwidth, data rate, etc.) to the available …

… Abstract: In cognitive radio (CR) networks, fast and accurate … In this paper, a reinforcement
learning (RL) enabled co… based on machine learning for cognitive radio networks,” IET …

… of IoT devices, this paper proposes to integrate cognitive radio (CR) technology with the IoT
… utilization and alleviate the spectrum scarcity in wireless networks. In CR, spectrum sensing …

We propose an ensemble machine learning (EML) based robust cooperative spectrum
sensing framework in full-duplex cognitive radio networks (FD-CRNs), which is robust with …

… For this reason, RL becomes suitable for dynamic spectrum management in cooperative CR
… includes wireless communication especially cognitive radio networks, vehicular networks …

… model of network dynamics can be … the wireless network, the assumption of perfect network
dynamics is hardly valid. Moreover, none of the above discussed work explores the learning …

… The deployment of cognitive radio network (CRN) techniques for future wireless networks
could … At the same time, due to various reasons, a large range of frequency band remain under-…