A cognitive radio network (CRN) intelligently utilizes the available spectral resources by sensing and learning from environment to maximize spectrum utilization. In CRNs, secondary users (SUs) opportunistically access primary (PUs) spectrum. Therefore, unambiguous detection of PU channel occupancy is most critical aspect operations CRNs. Cooperative (CSS) rated as best choice for making reliab...

This paper presents optimization issues of energy detection (ED) thresholds in cooperative spectrum sensing (CSS) with regard to general Gaussian noise. Enhanced ED thresholds are proposed to overcome sensitivity of multiple noise uncertainty. Two-steps decision pattern and convex samples thresholds have been put forward under Gaussian noise uncertainty. Through deriving the probability of dete...

Cognitive radio is a new paradigm in wireless communication to improve the spectrum utilization in cognitive radio networks. Cooperative spectrum sensing techniques improves the sensing performance but at the cost of increased energy consumption. Here, in this paper, we propose an energy efficient algorithm which optimizes both sensing time and number of participants in OR rule of cooperative s...

In the recent past, efficient cooperative spectrum sensing and usage are playing a vital role in wireless communication because of significant progress mobile devices. There is surge interest on non-orthogonal multiple access (NOMA) focused powered by mode. modern research, more attention has been accurate NOMA. NOMA highly adapted with cognitive radio network (CRN) for improving performance. e...

The theory of wireless information and power transfer in energy constrained wireless networks has caught the interest of researchers due to its potential in increasing the lifetime of sensor nodes and mitigate the environment hazards caused by conventional cell batteries. Similarly, the advancements in areas of cooperative spectrum sharing protocols has enabled efficient use of frequency spectr...

In this article, the authors proposed a novel blockchain-oriented location privacy-preserving (BoLPP) for Cooperative Spectrum Sensing (CSS) in 6G networks. order to attain sustainability of privacy and security wireless networks, it is great challenge sensing as faces various malicious attacks while secondary user (SU) active. To tackle these issues, framework Cognitive Radio Networks (CRNs) C...

Discrete cosine transform (DCT) is a special type of transform which is widely used for compression of speech and image. However, its use for spectrum sensing has not yet received widespread attention. This paper aims to alleviate the sampling requirements of wideband spectrum sensing by utilizing the compressive sampling (CS) principle and exploiting the unique sparsity structure in the DCT do...

Providing some techniques to enhance the performance of spectrum sensing in cognitive radio systems while accounting for the cost and bandwidth limitations in practical scenarios is the main objective of this thesis. We focus on an essential element of cooperative spectrum sensing (CSS) which is the data fusion that combines the sensing results to make the final decision. Exploiting the advanta...

Spectrum sensing is the key element in cognitive radio networks for detecting the primary users. Due to the destructive conditions of sensing channel such as multipath fading and shadowing, local sensing is not fitting the requirements for reliable detection. Therefore, cooperative spectrum sensing is introduced to detect the primary user more accurately. Clustering approach is considered as an...

This paper analyzes the unified performance of energy detection (ED) of spectrum sensing (SS) over generalized fading channels in cognitive radio (CR) networks. The detective performance of SS schemes will be obviously affected by fading channel between communication nodes, and ED has the advantages of fast implementation, no requirement of priori received information and low complexity, so it ...