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Pregled bibliografske jedinice broj: 954355

Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems


Lorincz, Josip; Ramljak, Ivana; Begusic, Dinko
Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems // Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018) / Rozic, Nikola ; Lorenz, Pascal (ur.).
Split, Croatia: FESB, University of Split, Croatia, 2018. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems

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

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

Izvornik
Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018) / Rozic, Nikola ; Lorenz, Pascal - Split, Croatia : FESB, University of Split, Croatia, 2018, 1-6

Skup
The 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018)

Mjesto i datum
Supetar, otok Brač, Hrvatska, 13.-15.09.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
cognitive networks ; OFDM ; energy detection ; QPSK ; 16 QAM ; 64 QAM ; noise uncertainty ; dynamic threshold

Sažetak
Cognitive radio (CR) networks are an intelligent wireless communication technology that is aware of its surrounding environment. The main process of the cognitive radio is spectrum sensing. Energy detection (ED) method was found to be a promising candidate for spectrum sensing in the CR networks. However, the detection performance of the ED method is susceptible to noise fluctuations at the receiver side, known as noise uncertainty. To obtain better performance when noise uncertainty impacts ED process, it is necessary to incorporate a dynamic signal detection based on sensing threshold adaptation. In this paper, the influence of noise uncertainty and dynamic threshold adaptation for the ED of signals transmitted using orthogonal frequency division modulation (OFDM) is investigated. The major contribution of this work is the analyses of the influence of different parameters including: modulation constellations, noise uncertainty level, dynamic threshold and signal to noise ratio values on a probability of received signal misdetection. Simulation results show that a combination of some of the analysed parameters can significantly improve ED process for OFDM signals.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Josip Lörincz (autor)

Avatar Url Dinko Begušić (autor)

Citiraj ovu publikaciju

Lorincz, Josip; Ramljak, Ivana; Begusic, Dinko
Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems // Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018) / Rozic, Nikola ; Lorenz, Pascal (ur.).
Split, Croatia: FESB, University of Split, Croatia, 2018. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Lorincz, J., Ramljak, I. & Begusic, D. (2018) Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems. U: Rozic, N. & Lorenz, P. (ur.)Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018).
@article{article, year = {2018}, pages = {1-6}, keywords = {cognitive networks, OFDM, energy detection, QPSK, 16 QAM, 64 QAM, noise uncertainty, dynamic threshold}, title = {Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems}, keyword = {cognitive networks, OFDM, energy detection, QPSK, 16 QAM, 64 QAM, noise uncertainty, dynamic threshold}, publisher = {FESB, University of Split, Croatia}, publisherplace = {Supetar, otok Bra\v{c}, Hrvatska} }
@article{article, year = {2018}, pages = {1-6}, keywords = {cognitive networks, OFDM, energy detection, QPSK, 16 QAM, 64 QAM, noise uncertainty, dynamic threshold}, title = {Misdetection Probability Analyses of OFDM Signals in Energy Detection Cognitive Radio Systems}, keyword = {cognitive networks, OFDM, energy detection, QPSK, 16 QAM, 64 QAM, noise uncertainty, dynamic threshold}, publisher = {FESB, University of Split, Croatia}, publisherplace = {Supetar, otok Bra\v{c}, Hrvatska} }




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