[HTML][HTML] Clustering Method for Signals in the Wideband RF Spectrum Using Semi-Supervised Deep Contrastive Learning

A Olesiński, Z Piotrowski - Applied Sciences, 2024 - mdpi.com
This paper presents the application of self-supervised deep contrastive learning in clustering
signals detected in the wideband RF spectrum, presented in the form of spectrograms …

[HTML][HTML] The F/DR-D-10 Algorithm: A Novel Heuristic Strategy to Solve the Minimum Span Frequency Assignment Problem Embedded in Mobile Applications

CI Páez-Rueda, A Fajardo, M Pérez, G Yamhure… - Mathematics, 2023 - mdpi.com
Wireless communication supports various real-world applications, such as aeronautical
navigation, satellite and TV broadcasting, wireless LANs, and mobile communications. The …

Random relay selection based heuristic optimization model for the scheduling and effective resource allocation in the cognitive radio network

D Saraswady - arXiv preprint arXiv:2312.08127, 2023 - arxiv.org
Cognitive Radio Network (CRN) provides effective capabilities for resource allocation with
the valuable spectrum resources in the network. It provides the effective allocation of …

A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

S Asha, S Janani - 2023 - researchsquare.com
The wireless communication system has been facing a technological revolution due to the
shift through various generations. To fulfil the 5G and beyond 5G (B5G) networks, we need …

TRANSMISSION PERFORMANCE ANALYSIS OF SWIPT NOMA-ASSISTED COGNITIVE RADIO SENSOR NETWORKS

S Asha, S Janani - Journal of Research Administration, 2023 - journalra.org
Prompted by the swift rise in wireless capacity needs brought about by advanced multimedia
applications (such as ultra-high-definition video and virtual reality) and the considerably …