DocumentCode :
2743985
Title :
Optimal power and bit allocation schemes for ultra wideband cognitive radio systems
Author :
Zeng, Liaoyuan ; McGrath, Sean ; Cano, Eduardo
Author_Institution :
Wireless Access Res. Center, Univ. of Limerick, Limerick, Ireland
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
An optimal power and bit allocation scheme for rate maximization in the ultra wideband (UWB) cognitive radio system is presented in this paper. The scheme generates a series of M-ary quadrature amplitude modulation (M-QAM) zones over each UWB subcarrier. Total transmit power is optimally distributed among the UWB subcarriers for the use of the M-QAM modulation with a maximum M on each subcarrier. This optimization is constrained by the probability of detection, probability of false alarm, bit error rate and the UWB transmit power spectral density mask. The performance of the scheme is analyzed over different UWB fading channels. The results show that the system data rate is significantly improved by using the proposed power and bit allocation scheme.
Keywords :
Poisson distribution; cognitive radio; error statistics; fading channels; optimisation; quadrature amplitude modulation; spectral analysis; ultra wideband communication; M-QAM modulation; M-ary quadrature amplitude modulation; Poisson distribution; UWB fading channel; UWB transmit power spectral density mask; bit allocation scheme; bit error rate; false alarm probability; optimal power; optimization; rate maximization algorithm; ultra wideband cognitive radio system; Bandwidth; Bit error rate; Bit rate; Chromium; Cognitive radio; Communication system security; FCC; Fading; Interference; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications, 2009. CROWNCOM '09. 4th International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-3423-7
Electronic_ISBN :
978-1-4244-3424-4
Type :
conf
DOI :
10.1109/CROWNCOM.2009.5189092
Filename :
5189092
Link To Document :
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