DocumentCode :
586217
Title :
Joint Spectrum Sensing and Power Allocation Algorithm for Spectrum Efficiency Optimization in Ultra Wideband Cognitive Radio Networks
Author :
Zeng, Liaoyuan ; McGrath, Sean
Author_Institution :
Intell. Visual Inf. Process. & Commun. Lab., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
3-6 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Ultra Wideband (UWB) system uses extremely low signal power to coexist with other primary users (PUs), which limits the use of the UWB´s wide spectrum band. Cognitive Radio (CR) enables UWB systems to efficiently use the overlapped spectrum without causing interference to other wireless systems. In this paper, we focuses on the low-complexity joint optimization algorithm design with respect to transmit power allocation and spectrum sensing time (SST) for maximizing the spectrum efficiency of the Orthogonal Frequency Division Multiplexing based CR-UWB system. The SST optimization algorithm minimizes the spectrum sensing time in order to maximize the time length of applying the power allocation algorithm for data transmission. The proposed group power allocation algorithm adaptively assigns the transmit power to the subcarrier groups according to the effective signal-to-noise ratio (SNR) of each subcarrier group based on greedy algorithm. The proposed joint optimization algorithm can maximize the CR-UWB systems spectrum efficiency at a extremely low primary user SNR regime with low complexity.
Keywords :
cognitive radio; greedy algorithms; ultra wideband communication; CR UWB system spectrum efficiency; data transmission; greedy algorithm; joint optimization algorithm; orthogonal frequency division multiplexing; power allocation algorithm; signal to noise ratio; spectrum efficiency optimization; spectrum sensing time; ultra wideband cognitive radio networks; ultra wideband system; wireless system; Cognitive radio; Joints; OFDM; Optimization; Resource management; Sensors; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location :
Quebec City, QC
ISSN :
1090-3038
Print_ISBN :
978-1-4673-1880-8
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VTCFall.2012.6399154
Filename :
6399154
Link To Document :
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