Original scientific paper
https://doi.org/10.24138/jcomss-2024-0050
Errors Impacts of Multi-5G Waveforms in Cognitive Radio Systems
Mokhalad Alghrairi
orcid.org/0000-0002-8920-4290
; Department of Computer Techniques Engineering, Imam Alkadhim University College, Baghdad, Iraq
*
Aqeel k. Kadhim
; Department of Computer Techniques Engineering, Imam Alkadhim University College, Baghdad, Iraq
Manar Adnan Nassrat
; Optics Technique Department, Al-Hikma University College, Baghdad, Iraq
Bayan Mahdi Sabbar
; Medical Instrumentation Techniques Engineering Department, Al-Mustaqbal University, Hillah, Iraq
Saad Mutashar
; Medical Instrumentation Techniques Engineering Department, Al-Mustaqbal University, Hillah, Iraq
* Corresponding author.
Abstract
The demand for new wireless services within frequency bands has increased due to the exponential growth of wireless communication, leading to issues related to spectrum scarcity. This paper proposes a hybrid technique-based Spectrum Sensing (SS) algorithm. The traffic signal filtering component of the method utilizes the cosine law in conjunction with the Welch algorithm for segmentation. It incorporates various 5G waveforms, including Generalized Frequency Division Multiplexing (GFDM), Filtered Orthogonal Frequency Division Multiplexing (F-OFDM), Filter Bank Multi-Carrier (FBMC), Non-Orthogonal Multiple Access (NOMA), and Universal Filtered Multi-Carrier (UFMC). The (SS) system achieves a false alarm rate of less than 0.05, a detection probability (Pd) greater than 0.95, and a system error probability of less than 0.09%. Key metrics are used to evaluate the algorithm's performance, and simulation results demonstrate its capability to distinguish between different types of 5G signals.
Keywords
cognitive radio; 5G; probability of detection; probability of false alarm; error probability
Hrčak ID:
330885
URI
Publication date:
31.3.2025.
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