DocumentCode :
2873745
Title :
Efficient multiuser spectral precoding for reducing out-of-band emission for OFDM-based cognitive radios
Author :
Juan Fang ; I-Tai Lu
Author_Institution :
Dept. of ECE, Polytech. Inst. of NYU, Brooklyn, OH, USA
fYear :
2013
fDate :
3-3 May 2013
Firstpage :
1
Lastpage :
5
Abstract :
When multiple users in an OFDM system can be synchronized, a novel efficient multiuser precoding approach for reducing out-of-band emission (OOBE) is developed. The main idea is to view all users as a virtual single user and design a common virtual precoder for all users. The precoder of a particular user is then constructed using the corresponding columns of the virtual precoder according to the allocated spectrum of that user. Without suffering from any degradation in BER performance, the proposed approach achieves higher spectral efficiency, larger OOBE reduction and better peak to average power ratio (PAPR) performance than the existing precoding approaches at the cost of higher complexity. Moreover, unlike the existing approaches, the spectral efficiency loss of the proposed approach does not increase as the number of users increases. It is also remarkable that the proposed approach allows each user to use noncontiguous spectra without losing additional spectral efficiency; this property is essential for enabling granular resource allocations.
Keywords :
OFDM modulation; cognitive radio; precoding; BER performance; OFDM system; OFDM-based cognitive radio; OOBE reduction; common virtual precoder; granular resource allocations; multiuser spectral precoding; novel efficient multiuser precoding approach; out-of-band emission; peak to average power ratio; virtual single user; Bit error rate; Degradation; Encoding; Matrix decomposition; Peak to average power ratio; Synchronization; Cognitive Radios; Multiuser; OFDM; OOBE; Out-of-Band Emission; Spectral Precoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2013 IEEE Long Island
Conference_Location :
Farmingdale, NY
Print_ISBN :
978-1-4673-6244-3
Type :
conf
DOI :
10.1109/LISAT.2013.6578229
Filename :
6578229
Link To Document :
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