DocumentCode :
1796563
Title :
Unified out-of-band emission reduction with linear complexity for OFDM
Author :
Xiaojing Huang ; Zhang, Jian A. ; Guo, Y. Jay
Author_Institution :
Digital Productivity & Services, CSIRO, Sydney, NSW, Australia
fYear :
2014
fDate :
13-15 Oct. 2014
Firstpage :
523
Lastpage :
527
Abstract :
This paper proposes a unified out-of-band emission (OOBE) reduction framework with linear complexity for orthogonal frequency-division multiplexing (OFDM) systems. Unlike conventional spectral precoding approaches which use orthogonal precoding matrixes, this framework composes cancellation signals from the linear combinations of data symbols and minimizes the average OOBE power with a general least-squares solution. A joint frequency domain cancellation subcarrier and data domain cancellation symbol allocation scheme is also proposed for discrete Fourier transform precoded OFDM, by which the overall signal processing complexity of the OFDM transceiver is further reduced without impact on other system performance. The advantages of the proposed scheme is verified both analytically and by simulation as compared with some well-known low-complexity OOBE reduction schemes.
Keywords :
OFDM modulation; computational complexity; discrete Fourier transforms; least squares approximations; precoding; signal processing; OFDM transceiver; OOBE reduction framework; conventional spectral precoding approaches; data domain cancellation symbol allocation scheme; data symbols; discrete Fourier transform; frequency domain cancellation subcarrier; least-squares solution; linear complexity; orthogonal frequency-division multiplexing systems; orthogonal precoding matrices; signal processing complexity; signals cancellation; unified out-of-band emission reduction; Complexity theory; Discrete Fourier transforms; Frequency-domain analysis; Peak to average power ratio; Resource management; Wireless communication; Cognitive radio; OFDM; out-of-band emission; peak-to-average power ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications in China (ICCC), 2014 IEEE/CIC International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICCChina.2014.7008333
Filename :
7008333
Link To Document :
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