Title
Spectrum Sensing Design Framework Based on Cross-Layer Optimization of Detection Efficiency
Abstract
Cross-layer optimization of the spectrum sensing (SS) sub-system in a cognitive radio (CR) is essential for achieving the best spectrum utilization because the three SS layers - sensing radio, sensing PHY and sensing MAC - jointly determine the overall performance of the SS sub-system. In this paper we introduce a function called detection efficiency that measures how much of the idle primary user spectra is actually utilized by the CR users as a function of regulatory constraints, network specifications and the parameters of the sensing radio, MAC and PHY. By optimizing these parameters to maximize detection efficiency of the SS system, the designer can compare and select the best SS design for a given wireless network requirement. By applying this design method to evaluate several design options for the SS layers, we show that cross-layer optimization can in some cases improve the detection efficiency (and therefore spectrum utilization) from 35% to as much as 99%.
Year
DOI
Venue
2009
10.1109/ICC.2009.5199480
ICC
Keywords
Field
DocType
optimisation,sensing radio,spectrum utilization,ss sub-system,sensing phy,best ss design,regulatory constraints,design option,ss layer,cognitive radio,wireless network,design method,detection efficiency,cross-layer optimization,network specifications,ss system,idle primary user spectrum,design framework,best spectrum utilization,spectrum sensing design,sensing mac,algorithm design and analysis,spectrum,optimization,design optimization,physical layer,sensors,chromium,collaboration,bandwidth
Wideband,Wireless network,Cross-layer optimization,Algorithm design,Computer science,Computer network,Real-time computing,Physical layer,Bandwidth (signal processing),PHY,Cognitive radio
Conference
ISSN
ISBN
Citations 
1938-1883 E-ISBN : 978-1-4244-3435-0
978-1-4244-3435-0
4
PageRank 
References 
Authors
0.49
10
3
Name
Order
Citations
PageRank
Jihoon Park114327.61
Rajeev Jain2112.18
Danijela Cabric3795101.37