Title
Opportunity detection for OFDMA-based cognitive radio systems with timing misalignment
Abstract
Accurate detection of spectrum opportunities within the frequency band of an orthogonal frequency division multiple access (OFDMA) system carries critical importance for OFDMA-based cognitive radios. In this paper, we analyze the opportunity detection performances of energy detection and ESPRIT (estimation of signal parameters by rotational invariance techniques) algorithms in the presence of timing misalignments in uplink (UL) OFDMA. For the energy detector, the statistics of subcarrier power are derived considering timing misalignments, and they are verified through computer simulations. Using these statistics, which take inter-carrier-interference (ICI) effects into account, receiver operating characteristics (ROCs) of the energy detector receiver are obtained. It is shown that energy detection has a considerably better performance than ESPRIT, especially when the subcarrier assignment changes frequently. Moreover, a closed form expression is derived for the UL-OFDMA synchronization point that minimizes the ICI. Finally, it is shown that employing resource allocation blocks with larger sizes in the primary network yields better opportunities for the cognitive radio.
Year
DOI
Venue
2009
10.1109/TWC.2009.090226
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
timing misalignments,cognitive radio,ofdma-based cognitive radio,better opportunity,energy detector receiver,ofdma-based cognitive radio system,energy detector,accurate detection,better performance,opportunity detection performance,energy detection,receiver operating characteristics,ofdm,femtocell,signal analysis,algorithm design and analysis,ofdm modulation,detectors,resource allocation,computer simulation,parameter estimation,interference,statistics,receiver operator characteristic,spectrum
Subcarrier,Telecommunications,Frequency band,Software-defined radio,Orthogonal frequency-division multiple access,Electronic engineering,Real-time computing,Frequency-division multiple access,Detector,Mathematics,Orthogonal frequency-division multiplexing,Cognitive radio
Journal
Volume
Issue
ISSN
8
10
1536-1276
Citations 
PageRank 
References 
13
0.88
20
Authors
3
Name
Order
Citations
PageRank
Mustafa E. Sahin11069.09
Ismail Güvenç22041153.03
Hüseyin Arslan333233.33