Autors: Ivanov, A. S., Stoynov, V. R., Mihaylova, D. A., Poulkov, V. K.
Title: Applicability assessment of energy detection spectrum sensing in cognitive radio based ultra-dense networks
Keywords: Ultra-Dense Network; Cognitive Radio; Energy Detection; Spec

Abstract: The growth of modern communication systems into 5G deployments has incorporated the ultra-dense network (UDN) concept to provide high-throughput user-centric wireless access. Cognitive Radio (CR) can facilitate the integration of UDNs with legacy systems without the immediate need for allocation of new spectrum which would lead to substantial increase in cost. Thus, the CR-based UDN requires efficient spectrum sensing to correctly identify the unutilized frequency bands. This simulation study emphasizes the strengths and limitations of the most popular algorithm of this kind, energy detection (ED). It is implemented in cognitive access points (CAPs) of an UDN, which determine the spectrum occupancy and allocate the available resource to their mobile users. The applicability of ED-based spectrum sensing is assessed via the primary system's signal-to-noise ratio (SNR) distribution as measured by the CAPs, and the probability of detection..



    in Proceedings of International Scientific Conference on Communications, Information, Electronic and Energy Systems (CIEES), Ruse, Bulgaria, 25-27 November 2021; American Institute of Physics Inc., vol. 2570, 2022, United States, DOI 10.1063/5.0099506

    Copyright AIP Publishing

    Цитирания (Citation/s):
    1. Ali, F., Yigang, H., "Spectrum sensing-focused cognitive radio network for 5G revolution", Frontiers in Environmental Science, vol. 11, 2023, DOI: 10.3389/fenvs.2023.1113832. - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus