@article{WOS:000301564200012,
abstract = {In the entire world the wireless communication systems are represented
by 2G and 3G systems with all stages of evolution towards 4G systems.
The complexity of wireless networks requires a careful design,
especially related to bandwidth and energy efficiency. Bandwidth
efficiency is very important parameter, because it relates to frequency
spectrum, which is a natural limited resource. The cognitive radio has
been proposed as the future technology to meet the ever increasing
demand of the radio spectrum by allocating the spectrum dynamically to
allow unlicensed access on non-interfering basis. The digital dividend
of 700MHz band (mainly used by TV broadcast services) opens the door for
cognitive radio applications due to its excellent propagation
characteristics compared to GSM 1800 MHz, 2.1 GHz or 2.5 GHz bands. In
cognitive radio, spectrum sensing is the fundamental problem. In this
paper we are analyzing the performance of spectrum sensing algorithms;
energy detection and covariance absolute value utilizing TV white space
for IEEE 802.11 af standard.},
address = {PUBL DEPT, 8-10 AVERESCU BLVD, SECTOR 1, BUCHAREST, 011455, ROMANIA},
author = {Dhope, Tanuja S (Shendkar) and Simunic, Dina and Kerner, Antun},
issn = {1220-1766},
journal = {STUDIES IN INFORMATICS AND CONTROL},
keywords = {energy detection; covariance based detection; fadi},
month = mar,
number = {1, SI},
pages = {93--100},
publisher = {NATL INST R\&D INFORMATICS-ICI},
title = {{Analyzing the Performance of Spectrum Sensing Algorithms for IEEE 802.11 af Standard in Cognitive Radio Network}},
type = {Article},
volume = {21},
year = {2012}
}

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