A Review of Miscellaneous Spectrum Sensing Algorithms in 5G Ultra-dense Networks


  • Antoni Ivanov Faculty of Telecommunications, Technical University of Sofia, bul. Kl. Ohridski 8, Sofia 1000, Bulgaria
  • Ivaylo Bozhilov Faculty of Telecommunications, Technical University of Sofia, bul. Kl. Ohridski 8, Sofia 1000, Bulgaria




5G, densification, cognitive radio, miscellaneous spectrum sensing, network coexistence, spectrum sharing, ultra-dense networks


The continual development of advanced networks within the Fifth Generation (5G) of wireless systems, and beyond, has seen the rise of multiple important research directions. These include cognitive radio (CR) and ultra-dense networks (UDNs), which are the focus of this article. The CR systems rely on an accurate assessment of the radio environment, which is provided by the spectrum sensing functionality. A review of such algorithms that are characterized by the detection of miscellaneous features of the received signal, together with their performance comparison, is presented. In addition, the application of a simple and adequate solution is assessed through its probability of detection, for a relevant UDN system model under the critical density limitation for the access point (AP) deployment


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Author Biographies

Antoni Ivanov, Faculty of Telecommunications, Technical University of Sofia, bul. Kl. Ohridski 8, Sofia 1000, Bulgaria

Antoni Ivanov received the PhD degree in Communication Networks and Systems from the Technical University of Sofia (TUS), Bulgaria in 2020. He holds a Master degree in Innovative Communication Technologies and Entrepreneurship from TUS, and Aalborg University, Denmark in 2016. He is currently a Postdoctoral researcher at the “Teleinfrastructure Lab”, Faculty of Telecommunications, TUS. His research interests include cognitive radio networks, adaptive algorithms for dynamic spectrum access, deep learning-based solutions for cognitive radio applications, volumetric spectrum occupancy assessment, and graph signal processing for resource allocation in current and future wireless networks.

Ivaylo Bozhilov, Faculty of Telecommunications, Technical University of Sofia, bul. Kl. Ohridski 8, Sofia 1000, Bulgaria

Ivaylo Bozhilov is a PhD student at the Technical University of Sofia (TU Sofia), focusing on telecommunications. He earned his Bachelor’s and Master’s degrees in the same field in 2021 and 2022 respectively. Currently, he is part of the Teleinfrastructure Research Laboratory at TU Sofia. His research interests include holographic communication, computer vision, and artificial intelligence, aiming to bring innovative perspectives to these areas.


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How to Cite

Ivanov, A. ., & Bozhilov, I. . (2023). A Review of Miscellaneous Spectrum Sensing Algorithms in 5G Ultra-dense Networks. Journal of Mobile Multimedia, 19(05), 1357–1370. https://doi.org/10.13052/jmm1550-4646.19510




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