Title :
New statistical studies on OFDM-QAM peak-to-mean-envelope-power ratio
Author :
Huang, Scott C-H ; Hsiao-Chun Wu ; Youde Wu
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
In this work, we study the statistical behavior of the peak-to-mean-envelope-power ratio (PMEPR) for orthogonal frequency-division multiplexing (OFDM) signals both theoretically and empirically. First, the relationship is mathematically established between the PMEPR upper-bound of OFDM-QPSK (quadrature phase-shift keying) sequences and the clipping probability for moderate sequence lengths n (i.e. n <; 100). Then, the empirical study of the PMEPR distributions is carried out to rectify the preliminary theoretical results. Finally, we theoretically prove that the analysis for OFDM-QPSK sequences can be extended to OFDM-QAM (quadrature amplitude modulation) sequences as well.
Keywords :
OFDM modulation; probability; quadrature amplitude modulation; quadrature phase shift keying; statistical analysis; OFDM-QAM; OFDM-QPSK; PMEPR upper-bound; clipping probability; moderate sequence lengths; orthogonal frequency division multiplexing; peak-to-mean-envelope-power ratio; quadrature amplitude modulation; quadrature phase shift keying; statistical behavior; Indexes; OFDM; Orthogonal frequency-division multiplexing (OFDM); peak-to-mean-envelope-power ratio (PMEPR); quadrature amplitude modulation (QAM);
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
DOI :
10.1109/GLOCOM.2013.6831631