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Energy Detection in MIMO Cognitive Radio Networks (CROSBI ID 694694)

Prilog sa skupa u zborniku | stručni rad | domaća recenzija

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: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu, 2020. str. 6-7

Podaci o odgovornosti

Lorincz, Josip ; Ivana, Ramljak ; Dinko, Begusic

engleski

Energy Detection in MIMO Cognitive Radio Networks

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.

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

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Podaci o prilogu

6-7.

2020.

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objavljeno

978-953-290-103-0

Podaci o matičnoj publikaciji

The 28th International Conference on Software, Telecommunications and Computer Networks SoftCOM 2020 PhD Forum Book of Abstracts

Begusic, Dinko ;

Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu

Podaci o skupu

28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020

predavanje

17.09.2020-19.09.2020

Hvar, Hrvatska; Split, Hrvatska

Povezanost rada

Elektrotehnika, Informacijske i komunikacijske znanosti, Računarstvo