EURASIP Journal on Applied Signal Processing
Intercarrier interference reduction in OFDM systems using low complexity selective mapping
IEEE Transactions on Communications
Selected mapping without side information for PAPR reduction in OFDM
IEEE Transactions on Wireless Communications
Analysis of PAPR reduction performance of SLM schemes with correlated phase vectors
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
PreQuEst: a scalable and proactive quality enrichment for presence services
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Asymptotic performance analysis and successive selected mapping for PAR reduction in OFDM
IEEE Transactions on Signal Processing
Optimal subcarrier power allocation for OFDM in peak-power-limited channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Nonlinear L2-by-3 transform for PAPR reduction in OFDM systems
Computers and Electrical Engineering
Comparison of selected mapping and partial transmit sequence for crest factor reduction in OFDM
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
| Hi-index | 35.69 |
It is well known that orthogonal-frequency-division-multiplexing (OFDM) transmission is spectrally efficient but power inefficient due to the large peak-to-average power ratio (PAR) of the OFDM signal. Selected mapping (SLM) is a promising PAR reduction technique that is distortionless and has good PAR reducing capability. In SLM, the phases of the frequency domain OFDM subsymbols are first rotated before the inverse Fourier transform is applied; thus, an equivalent representation of the OFDM signal can be obtained. The one with the lowest PAR from among M such representations is retained and transmitted in place of the original OFDM signal. In this paper, we investigate the optimum design of the phase rotation table so that the complementary cumulative distribution function (CCDF) of the PAR of the SLM OFDM signal is minimized for any given M. We prove that if the phases (denoted by random variable phi) are independently and identically distributed (i.i.d.) with E[ejphi]=0, then optimum SLM performance can be achieved