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Pregled bibliografske jedinice broj: 1083873

Energy Detection in MIMO Cognitive Radio Networks


Lorincz, Josip; Ivana, Ramljak; Dinko, Begusic
Energy Detection in MIMO Cognitive Radio Networks // The 28th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2020 PhD Forum Book of Abstracts / Begusic, Dinko ; (ur.).
Split: FESB, University of Split, Croatia, 2020. str. 6-7 (predavanje, domaća recenzija, cjeloviti rad (in extenso), stručni)


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Naslov
Energy Detection in MIMO Cognitive Radio Networks

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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
The 28th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2020 PhD Forum Book of Abstracts / Begusic, Dinko ; - Split : FESB, University of Split, Croatia, 2020, 6-7

ISBN
978-953-290-103-0

Skup
The 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)

Mjesto i datum
Virtualna kofenrecija, Split, Hrvatska, 17. - 19.09.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
MIMO ; energy detection ; cognitive networks ; OFDM ; wireless ; SNR ; probability ; signal ; power ; sensing

Sažetak
Cognitive radio as a concept is based on the ability to detect and share the underutilized spectrum. For the realization of the cognitive radio concept, energy detection as one of the spectrum sensing methods is broadly considered, because of its low computational complexity and implementation costs. The energy detection accuracy of the primary user signal is susceptible to noise uncertainty variations and the accuracy of the dynamic threshold adaptation. One of the prominent techniques for improving the spectrum utilization in wireless networks is the Multiple-Input Multiple-Output technique. In this paper, the influence of Multiple-Input Multiple-Output technique on the energy detection of signals transmitted using orthogonal frequency division multiplexing is investigated for different signal to noise ratios. Obtained results show a significant impact of noise uncertainty variations, dynamic threshold adaptations, MIMO configurations and sampling densities during the sensing, on the probability of signal detection.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Dinko Begušić (autor)

Avatar Url Josip Lörincz (autor)


Citiraj ovu publikaciju

Lorincz, Josip; Ivana, Ramljak; Dinko, Begusic
Energy Detection in MIMO Cognitive Radio Networks // The 28th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2020 PhD Forum Book of Abstracts / Begusic, Dinko ; (ur.).
Split: FESB, University of Split, Croatia, 2020. str. 6-7 (predavanje, domaća recenzija, cjeloviti rad (in extenso), stručni)
Lorincz, J., Ivana, R. & Dinko, B. (2020) Energy Detection in MIMO Cognitive Radio Networks. U: Begusic, D. & (ur.)The 28th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2020 PhD Forum Book of Abstracts.
@article{article, editor = {Begusic, D. and}, year = {2020}, pages = {6-7}, keywords = {MIMO, energy detection, cognitive networks, OFDM, wireless, SNR, probability, signal, power, sensing}, isbn = {978-953-290-103-0}, title = {Energy Detection in MIMO Cognitive Radio Networks}, keyword = {MIMO, energy detection, cognitive networks, OFDM, wireless, SNR, probability, signal, power, sensing}, publisher = {FESB, University of Split, Croatia}, publisherplace = {Virtualna kofenrecija, Split, Hrvatska} }
@article{article, editor = {Begusic, D. and}, year = {2020}, pages = {6-7}, keywords = {MIMO, energy detection, cognitive networks, OFDM, wireless, SNR, probability, signal, power, sensing}, isbn = {978-953-290-103-0}, title = {Energy Detection in MIMO Cognitive Radio Networks}, keyword = {MIMO, energy detection, cognitive networks, OFDM, wireless, SNR, probability, signal, power, sensing}, publisher = {FESB, University of Split, Croatia}, publisherplace = {Virtualna kofenrecija, Split, Hrvatska} }




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