Title :
Spectrum sensing and spectrum utilization model for OFDM and FBMC based cognitive radios
Author :
Srinivasan, Sudharsan ; Dikmese, Sener ; Renfors, Markku
Author_Institution :
Dept. of Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
OFDM based 802.11g Wireless Local Area Networks (WLAN) operate in the 2.4 GHz ISM band. Various other wireless systems use the same band which causes interference and leads to significant performance degradation. Hence, Cognitive Radio´s (CR) could better determine free spectrum and coordinate the spectrum usage in this band. Apart from this, to reduce the interference due to spectral leakage, Filter Bank Multicarrier (FBMC) type of system is considered as an alternative to FFT based systems. In this study, FFT and filter bank based spectrum sensing methods are compared by applying them for detecting spectral holes between WLAN and FBMC channels, considering also the spectral leakage effects appearing practical WLANs. Also the performance of alternative multicarrier techniques regarding the efficiency of spectrum utilization is studied.
Keywords :
OFDM modulation; channel bank filters; cognitive radio; fast Fourier transforms; interference suppression; radiofrequency interference; wireless LAN; wireless channels; FBMC based cognitive radios; FBMC channels; FFT based systems; IEEE 802.11g wireless local area networks; ISM band; OFDM; WLAN; filter bank based spectrum sensing methods; filter bank multicarrier techniques; frequency 2.4 GHz; interference reduction; spectral hole detection; spectral leakage; spectrum utilization model; wireless systems; Cognitive radio; Filter banks; Interference; Loading; OFDM; Sensors; Wireless LAN; CR; FFT; filter bank; loading algorithms; spectrum sensing; spectrum utilization;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on
Conference_Location :
Cesme
Print_ISBN :
978-1-4673-0970-7
DOI :
10.1109/SPAWC.2012.6292874
