Deep neural networks for spectrum sensing: a review
As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
Cooperative spectrum sensing in cognitive radio networks: A systematic review
Background: Spectrum is the backbone for wireless communications, including internet
services. Nowadays, the business of industries providing wired communication is constant …
services. Nowadays, the business of industries providing wired communication is constant …
Integrated Distributed Semantic Communication and Over-the-air Computation for Cooperative Spectrum Sensing
Cooperative spectrum sensing (CSS) is a promising approach to improve the detection of
primary users (PUs) using multiple sensors. However, there are several challenges for …
primary users (PUs) using multiple sensors. However, there are several challenges for …
Performance evaluation of hard‐decision and soft‐data aided cooperative spectrum sensing over Nakagami‐m fading channel
KK Godugu, S Vappangi - IET Communications, 2023 - Wiley Online Library
The secondary users can opportunistically utilize the spectrum holes left by the licensed
users (also called primary users PUs) with the help of cognitive radio (CR) technology. The …
users (also called primary users PUs) with the help of cognitive radio (CR) technology. The …
Efficient deer hunting optimization algorithm based spectrum sensing approach for 6G communication networks
R Pandi Selvam, K Narayanasamy… - AI‐Enabled 6G …, 2023 - Wiley Online Library
Next‐generation sixth generation (6G) networks have the ability to fulfil the high client side
requirements. The transitions from 5G to 6G networks take place as the 6G network is …
requirements. The transitions from 5G to 6G networks take place as the 6G network is …
Energy Detection for M-QAM Signals
S Ishihara, K Umebayashi, JJ Lehtomäki - IEEE Access, 2023 - ieeexplore.ieee.org
Accurate threshold setting for energy detector is important for example in dynamic spectrum
access. This requires accurate statistical distribution models of the observed energy. In this …
access. This requires accurate statistical distribution models of the observed energy. In this …
A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks.
In CRNs, SS is of utmost significance. Every CR user generates a sensing report during the
training phase beneath various circumstances, and depending on a collective process …
training phase beneath various circumstances, and depending on a collective process …
Cooperative spectrum sensing based hybrid machine learning technique for prediction of secondary user in cognitive radio networks
S Paramasivam Thuraipandi… - Journal of Intelligent & …, 2023 - content.iospress.com
The spectrum scarcity problem in today's wireless communication network is addressed
through the use of a cognitive radio network (CRN). Detection in the spectrum is made …
through the use of a cognitive radio network (CRN). Detection in the spectrum is made …
A Novel Weighted Combination Strategy for Quasi-Coherent Fusion using Multi-frequency-based Passive Bistatic Radar
J Li, C Song, Z Xu - IEEE Geoscience and Remote Sensing …, 2023 - ieeexplore.ieee.org
This letter examines the fusion detection challenge in multifrequency-based passive bistatic
radar (MF-PBR) in the presence of the signal-to-noise ratio (SNR) difference. The traditional …
radar (MF-PBR) in the presence of the signal-to-noise ratio (SNR) difference. The traditional …
Machine Learning-Based Cooperative Spectrum Sensing in A Generalized α-κ-μ Fading Channel
An improvement in spectrum usage is possible with the help of a cognitive radio network,
which allows secondary users' access to the unused licensed frequency band of a primary …
which allows secondary users' access to the unused licensed frequency band of a primary …