DocumentCode
2147314
Title
Analysis of Energy Detector in Cooperative Relay Networks for Cognitive Radios
Author
Mughal, Muhammad Ozair ; Razi, Abolfazl ; Alam, Sk Shariful ; Marcenaro, Lucio ; Regazzoni, C.S.
Author_Institution
Dept. of Naval, Electr., Electron. & Telecommun. Eng. (DITEN), Univ. of Genova, Genoa, Italy
fYear
2013
fDate
25-27 Sept. 2013
Firstpage
220
Lastpage
225
Abstract
In this paper, performance of the energy detector is analyzed in blind cooperative relay networks operating over independent and identically distributed (IID) Rayleigh fading channels. First, utilizing the closed-form expression of the probability density function (PDF) of the dual-hop relay link along with an alternative series form representation of the generalized marcum-Q function, exact average detection probability expression is obtained for the dual-hop blind relay link. After that, a closed-form PDF expression is derived for the total received signal-to-noise ratio (SNR) of the combined received signal, received via the relay path and direct path, at the destination, which is assumed to be equipped with selection combiner (SC) and energy detector. Finally, within the same analytical framework, as established for the analysis of the relay link, an exact average detection probability expression for the cooperative system is derived. Since the obtained expressions are in the form of infinite summation series, therefore, respective series truncation error bounds are also calculated, which can be used to compute the number of terms required to achieve a given figure of accuracy. In the end, analytical expressions are validated with the help of computer simulations. It is expected that these analysis will be helpful in quantifying the future communication networks such as cognitive radio networks.
Keywords
Rayleigh channels; cognitive radio; cooperative communication; probability; signal detection; blind cooperative relay network; closed form expression; cognitive radio; dual hop relay link; energy detector; exact average detection probability expression; identically distributed Rayleigh fading channel; independent distributed Rayleigh fading channel; marcum-Q function; probability density function; received signal-to-noise ratio; selection combiner; Analytical models; Detectors; Diversity reception; Fading; Probability density function; Relays; Signal to noise ratio; Cooperative networks; energy detection; spectrum sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference on
Conference_Location
Prague
Type
conf
DOI
10.1109/NGMAST.2013.47
Filename
6658128
Link To Document