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Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
In this paper, we introduce a sub-Nyquist sampling-based receiver architecture and method for wideband spectrum sensing. Instead of recovering the...
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Improved hybrid spectrum sensing technique in cognitive radio communication system
Spectrum is a natural resource and is utilized in various applications. The proposed method addresses the necessity of spectrum sensing and shows...
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The application and comparison between machine learning algorithms in cooperative spectrum sensing
The world is progressing at a rapid rate, and with continuous advancements in technology, the need for cooperative spectrum sensing has evolved....
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Design and Implementation of Electromagnetic Spectrum Sensing Load Based on Software Radio
AbstractThis study proposed the design and implementation method of an electromagnetic spectrum sensing load based on software radio. In view of...
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A Multi-UAVs Cooperative Spectrum Sensing Method Based on Improved IDW Algorithm
With the development of spatial information networks, the perceptual allocation of spectrum resources has become a research hotspot. To solve the...
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Improvement in spectrum sensing of wireless regional area network with empirical mode decomposition
Efficient frequency spectrum sensing is essential for the proper implementation and functioning of any wireless network. The efficiency of frequency...
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Cognitive spectrum sensing algorithm based on an RBF neural network and machine learning
After 70 years of intricate development, machine learning, represented by deep learning, is based on the multilevel structure of the human brain and...
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Machine Learning Based Spectrum Sensing for Secure Data Transmission Using Cuckoo Search Optimization
This article is about machine Learning (ML) depending spectrum sensing in using cuckoo search optimization method. In Present days as the number of...
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Switching algorithm in listen-and-talk-based MAC protocols for full-duplex cognitive radio networks with type 2 fuzzy cooperative spectrum sensing
The deployment of long-term evolution systems in an unauthorized spectrum provided a credible solution to manage accelerating network data traffic....
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OntoBlock: a novel ontological-based and blockchain enabled spectrum sensing framework for detection of malicious users in cognitive radio internet of things (CR-IoT) networks
CR-IoT networks can benefit from the idea of blockchain technology to achieve accurate decisions in order to provide very high-accuracy spectrum...
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Advancement in Spectrum Sensing Algorithms in Cognitive Radio Architecture
Cognitive Radio Networks (CRNs) consider as one of the advanced and emerging technologies that can be employed in 5G/6G and beyond to satisfy the...
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Equilibrium Strategies and Social Welfare in Cognitive Radio Networks with Imperfect Spectrum Sensing
Spectrum sensing is essential in opportunistic cognitive radio (CR) systems for detecting primary users’ (PUs’) activities and protecting the PUs...
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A Robust MOR-Based Secure Fusion Strategy Against Byzantine Attack in Cooperative Spectrum Sensing
Cognitive radio has emerged as a promising technology aimed at improving allocated spectrum utilization and alleviating spectrum shortage through...
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Performance of Cooperative Spectrum Sensing Techniques in Cognitive Radio Based on Machine Learning
Due to the increasing demand for advanced wireless system applications such as long-range wireless power, vehicle-to-vehicle communication, various...
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Advancement of Non-coherent Spectrum Sensing Technique in Cognitive Radio Networks - A Simulation-Based Analysis
This article provides a concise overview of commonly employed Spectrum Sensing methods in Cognitive Radio (CR). In practical situations where the...
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Long Boosted Memory Algorithm for Intelligent Spectrum Sensing in 5G and Beyond Systems
Forthcoming wireless generations, namely the fifth generation and beyond, are experiencing various roll-out, planning, and implementation issues due...
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Feature Detection Based Spectrum Sensing in NOMA System
Non-orthogonal multiple access (NOMA) technology allows multiple users to share the same spectrum resource. Meanwhile, the technology of spectrum...
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Cluster mechanism for sensing data report using robust collaborative distributed spectrum sensing
In cooperative mobile communications, spectrum sensing performance may encounter difficulties, which alert with many reporting errors, especially in...
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Reinforcement Learning Based Spectrum Sensing and Resource Allocation in WSN-IoT Smart Applications
There is a tremendous demand for resources due to the different emerging IoT applications that must be fulfilled. The large-scale...
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Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold
The study aims to obtain higher spectrum efficiency of the cognitive radio system, effectively solve the hidden terminal problem caused by single...