Spectrum sensing for modulated radio signals using deep temporal convolutional networks

A Ghasemi, C Parekh, P Guinand - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
Detecting the presence of radio signals in noise has been a decades-long problem in the
signal processing domain. More recently, there has been a resurgence of interest in …

Cognitive radio spectrum sensing framework based on multi-agent arc hitecture for 5G networks

Z Zhang, W Zhang, S Zeadally… - IEEE Wireless …, 2015 - ieeexplore.ieee.org
Due to the fixed frequency spectrum division policy, the radio spectrum resource is
becoming increasingly scarce because many licensed frequency bands are not always fully …

Deep learning application for sensing available spectrum for cognitive radio: An ECRNN approach

SB Goyal, P Bedi, J Kumar, V Varadarajan - Peer-to-Peer Networking and …, 2021 - Springer
Spectrum sensing (SS) is a concept of cognitive radio systems at base transceiver stations
that can find the white space ie licensed spectrum owned by primary users (PU), for …

Probabilistic spectrum sensing based on feature detection for 6G cognitive radio: A survey

A Ivanov, K Tonchev, V Poulkov, A Manolova - IEEE Access, 2021 - ieeexplore.ieee.org
With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …

Novel QoS-aware proactive spectrum access techniques for cognitive radio using machine learning

M Ozturk, M Akram, S Hussain, MA Imran - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

CR-IoTNet: Machine learning based joint spectrum sensing and allocation for cognitive radio enabled IoT cellular networks

R Ahmed, Y Chen, B Hassan, L Du - Ad Hoc Networks, 2021 - Elsevier
In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Cooperative Spectrum Sensing with Machine Learning Approaches in Cognitive Radio Networks for IoMT Applications

H Mahmoud, T Baiyekusi, U Daraz, D Mi… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The increasing demand for Internet of Medical Things (loMT) and connected healthcare
adds to the cellular systems' limited bandwidth, leading to a scarcity of available fre …

A centralized cooperative study of spectrum sensing based on energy detection in cognitive radio networks

AH Talib, AH AL-Nakkash, AG Wadday - AIP Conference Proceedings, 2024 - pubs.aip.org
As next-generation wireless communication technologies advance and spectrum resources
become scarcer, Cognitive Radio Networks (CRN) must incorporate learning and reasoning …

[PDF][PDF] Autocorrelation Average Based Sensing Technique for Cognitive Radio Networks

L Labsis, D Teguig, N Lassami - personales.upv.es
The increasing sophistication in the technological requirements of modern life has created
intractable problems in controlling and managing the limited sources of frequency bands …

Applicability assessment of energy detection spectrum sensing in cognitive radio based ultra-dense networks

A Ivanov, V Stoynov, D Mihaylova… - AIP Conference …, 2022 - pubs.aip.org
The growth of modern communication systems into 5G deployments has incorporated the
ultra-dense network (UDN) concept to provide high-throughput user-centric wireless access …