An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection

The exponential growth in wireless communication has resulted in a high demand for novel wireless services within the frequency bands that can deal with the challenge pertaining to the current spectrum shortage. Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum...

Full description

Bibliographic Details
Main Authors: Algriree, Waleed, Sulaiman, Nasri, Isa, Maryam, Sahbudin, Ratna K. Z., Hassan, Siti L. M., Hmood Salman, Emad, Alghrairi, Mokhalad
Format: Article
Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/106532/
_version_ 1848864777686745088
author Algriree, Waleed
Sulaiman, Nasri
Isa, Maryam
Sahbudin, Ratna K. Z.
Hassan, Siti L. M.
Hmood Salman, Emad
Alghrairi, Mokhalad
author_facet Algriree, Waleed
Sulaiman, Nasri
Isa, Maryam
Sahbudin, Ratna K. Z.
Hassan, Siti L. M.
Hmood Salman, Emad
Alghrairi, Mokhalad
author_sort Algriree, Waleed
building UPM Institutional Repository
collection Online Access
description The exponential growth in wireless communication has resulted in a high demand for novel wireless services within the frequency bands that can deal with the challenge pertaining to the current spectrum shortage. Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum by employing a spectrum sensing (SS) algorithm. This recommended SS algorithm, based on the hybrid filter detection (HFD) method, employs the Cosine law for filtering the traffic signal, and then enables segmentation by applying the Welch algorithm. Then, the Hann algorithm is employed to window the traffic signal, and facilitates damping the MIMO impact for different waveforms. This also includes universal filtered multi-carrier (UFMC), filtered-orthogonal frequency division multiplexing (F-OFDM), filter bank multi-carrier (FBMC), non-orthogonal multiple access (NOMA), and Generalized Frequency Division Multiplexing (GFDM) waveforms. Also, evaluation of the operating parameters such as SNR, the antenna count, the signal span, and power as well as computational complexity was done. Based on the simulation results, a notable achievement was seen for the parameters that were below 0 dB of SNR, <0.09 % global system error probability, >96 % global detection probability, <0.06 % global false alarm probability, and possessing simple complexity. The recommended system’s parameters were assessed, which demonstrated its superiority versus other previously developed systems. This algorithm was found to identify all types of 5G signals and not just one type of 5G.
first_indexed 2025-11-15T13:54:12Z
format Article
id upm-106532
institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T13:54:12Z
publishDate 2022
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling upm-1065322024-08-08T03:43:50Z http://psasir.upm.edu.my/id/eprint/106532/ An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection Algriree, Waleed Sulaiman, Nasri Isa, Maryam Sahbudin, Ratna K. Z. Hassan, Siti L. M. Hmood Salman, Emad Alghrairi, Mokhalad The exponential growth in wireless communication has resulted in a high demand for novel wireless services within the frequency bands that can deal with the challenge pertaining to the current spectrum shortage. Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum by employing a spectrum sensing (SS) algorithm. This recommended SS algorithm, based on the hybrid filter detection (HFD) method, employs the Cosine law for filtering the traffic signal, and then enables segmentation by applying the Welch algorithm. Then, the Hann algorithm is employed to window the traffic signal, and facilitates damping the MIMO impact for different waveforms. This also includes universal filtered multi-carrier (UFMC), filtered-orthogonal frequency division multiplexing (F-OFDM), filter bank multi-carrier (FBMC), non-orthogonal multiple access (NOMA), and Generalized Frequency Division Multiplexing (GFDM) waveforms. Also, evaluation of the operating parameters such as SNR, the antenna count, the signal span, and power as well as computational complexity was done. Based on the simulation results, a notable achievement was seen for the parameters that were below 0 dB of SNR, <0.09 % global system error probability, >96 % global detection probability, <0.06 % global false alarm probability, and possessing simple complexity. The recommended system’s parameters were assessed, which demonstrated its superiority versus other previously developed systems. This algorithm was found to identify all types of 5G signals and not just one type of 5G. Elsevier 2022 Article PeerReviewed Algriree, Waleed and Sulaiman, Nasri and Isa, Maryam and Sahbudin, Ratna K. Z. and Hassan, Siti L. M. and Hmood Salman, Emad and Alghrairi, Mokhalad (2022) An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection. Alexandria Engineering Journal, 65. pp. 627-648. ISSN 1110-0168; ESSN: 2090-2670 https://linkinghub.elsevier.com/retrieve/pii/S1110016822007062 10.1016/j.aej.2022.10.050
spellingShingle Algriree, Waleed
Sulaiman, Nasri
Isa, Maryam
Sahbudin, Ratna K. Z.
Hassan, Siti L. M.
Hmood Salman, Emad
Alghrairi, Mokhalad
An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title_full An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title_fullStr An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title_full_unstemmed An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title_short An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
title_sort analysis of low complexity of 5g-mimo communication system based cr using hybrid filter detection
url http://psasir.upm.edu.my/id/eprint/106532/
http://psasir.upm.edu.my/id/eprint/106532/
http://psasir.upm.edu.my/id/eprint/106532/