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Pregled bibliografske jedinice broj: 1157593

Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems


Lorincz, Josip; Ramljak, Ivana; Begušić, Dinko
Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems // Sensors, 21 (2021), 20; 1-22 doi:10.3390/s21206881 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1157593 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems

Autori
Lorincz, Josip ; Ramljak, Ivana ; Begušić, Dinko

Izvornik
Sensors (1424-8220) 21 (2021), 20; 1-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
simulations ; square-law combining ; OFDM ; MIMO ; probability of detection ; false alarm probability

Sažetak
Cognitive radio technology enables spectrum sensing (SS), which allows the secondary user (SU) to access vacant frequency bands in the periods when the primary user (PU) is not active. Due to its minute implementation complexity, the SS approach based on energy detection (ED) of the PU signal has been analyzed in this paper. Analyses were performed for detecting PU signals by the SU in communication systems exploiting multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) transmission technology. To perform the analyses, a new algorithm for simulating the ED process based on a square-law combining (SLC) technique was developed. The main contribution of the proposed algorithm is enabling comprehensive simulation analyses of ED performance based on the SLC method for versatile combinations of operating parameter characteristics for different working environments of MIMO-OFDM systems. The influence of a false alarm on the detection probability of PU signals impacted by operating parameters such as the signal-to-noise ratios, the number of samples, the PU transmit powers, the modulation types and the number of the PU transmit and SU receive branches of the MIMO-OFDM systems have been analyzed in the paper. Simulation analyses are performed by running the proposed algorithm, which enables precise selection of and variation in the operating parameters, the level of noise uncertainty and the detection threshold in different simulation scenarios. The presented analysis of the obtained simulation results indicates how the considered operating parameters impact the ED efficiency of symmetric and asymmetric MIMO-OFDM systems.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Profili:

Avatar Url Dinko Begušić (autor)

Avatar Url Josip Lörincz (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Lorincz, Josip; Ramljak, Ivana; Begušić, Dinko
Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems // Sensors, 21 (2021), 20; 1-22 doi:10.3390/s21206881 (međunarodna recenzija, članak, znanstveni)
Lorincz, J., Ramljak, I. & Begušić, D. (2021) Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems. Sensors, 21 (20), 1-22 doi:10.3390/s21206881.
@article{article, author = {Lorincz, Josip and Ramljak, Ivana and Begu\v{s}i\'{c}, Dinko}, year = {2021}, pages = {1-22}, DOI = {10.3390/s21206881}, keywords = {simulations, square-law combining, OFDM, MIMO, probability of detection, false alarm probability}, journal = {Sensors}, doi = {10.3390/s21206881}, volume = {21}, number = {20}, issn = {1424-8220}, title = {Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems}, keyword = {simulations, square-law combining, OFDM, MIMO, probability of detection, false alarm probability} }
@article{article, author = {Lorincz, Josip and Ramljak, Ivana and Begu\v{s}i\'{c}, Dinko}, year = {2021}, pages = {1-22}, DOI = {10.3390/s21206881}, keywords = {simulations, square-law combining, OFDM, MIMO, probability of detection, false alarm probability}, journal = {Sensors}, doi = {10.3390/s21206881}, volume = {21}, number = {20}, issn = {1424-8220}, title = {Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems}, keyword = {simulations, square-law combining, OFDM, MIMO, probability of detection, false alarm probability} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • Analytical Abstracts
  • CAB Abstracts
  • EMBASE (Excerpta Medica)
  • INSPEC


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