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 …

Advances on spectrum sensing for cognitive radio networks: Theory and applications

A Ali, W Hamouda - IEEE communications surveys & tutorials, 2016 - ieeexplore.ieee.org
Due to the under-utilization problem of the allocated radio spectrum, cognitive radio (CR)
communications have recently emerged as a reliable and effective solution. Among various …

Hybrid NN-based green cognitive radio sensor networks for next-generation IoT

A Mukherjee, M Li, P Goswami, L Yang, S Garg… - Neural Computing and …, 2023 - Springer
In any cognitive radio sensor networks (CRSNs), the secondary users (SUs) and primary
users (PUs) share the opportunity to use the authorized frequency band. Here, the SU nodes …

Applying classification methods for spectrum sensing in cognitive radio networks: an empirical study

N Basumatary, N Sarma, B Nath - Advances in Electronics …, 2018 - Springer
Spectrum sensing is the paramount aspect of cognitive radio network where a secondary
user is able to utilize the idle channels of the licensed spectrum band in an opportunistic …

Recent paradigms for efficient spectrum sensing in cognitive radio networks: Issues and challenges

PT Sivagurunathan, P Ramakrishnan… - Journal of Physics …, 2021 - iopscience.iop.org
Rapidly advancing technological advancements in the recent past has made the life of
consumers at ease through innovation of sophisticated and state of the art gadgets. The …

[PDF][PDF] Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey

HBEN THAMEUR - hal.science
Cognitive radio (CR) network has emerged as a potential solution to the under-utilization
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …

Performance improvement of energy detection in cognitive radio under noise uncertainty

M Alijani, A Osman - 2020 14th International Conference on …, 2020 - ieeexplore.ieee.org
Spectrum scarcity has been one of the most conspicuous constraints in networking, amidst
the growing demand for 5G and Internet of things (IoT) services. Consequently, a cognitive …

Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks

R Ahmed, Y Chen, B Hassan - Ad Hoc Networks, 2021 - Elsevier
The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide
ubiquitous connectivity and great heterogeneity in communication infrastructure by …

Spectrum sensing based on spectrogram-aware CNN for cognitive radio network

L Cai, K Cao, Y Wu, Y Zhou - IEEE Wireless Communications …, 2022 - ieeexplore.ieee.org
Spectrum sensing is one of the key problems in the cognitive radio network. Existing
spectrum sensing methods commonly use deep learning models such as the convolutional …

Two-Stage spectrum sensing model for varying SNR conditions in cognitive radio network

A Sengupta, S Chattopadhyay… - 2019 International …, 2019 - ieeexplore.ieee.org
Cognitive Radio (CR) has come up as one of the efficient technologies to meet the
requirement of radio spectrum, which is a very limited resource of present era. CR allows …