Title :
Low-complexity selected mapping schemes for peak-to-average power ratio reduction in OFDM systems
Author :
Wang, Chin-Liang ; Ouyang, Yuan
Author_Institution :
Inst. of Commun. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Orthogonal frequency-division multiplexing (OFDM) is an attractive transmission technique for high-bit-rate communication systems. One major drawback of OFDM is the high peak-to-average power ratio (PAPR) of the transmitter´s output signal. The selected mapping (SLM) approach provides good performance for PAPR reduction, but it requires a bank of inverse fast Fourier transforms (IFFTs) to generate a set of candidate transmission signals, and this requirement usually results in high computational complexity. In this paper, we propose a kind of low-complexity conversions to replace the IFFT blocks in the conventional SLM method. Based on the proposed conversions, we develop two novel SLM schemes with much lower complexity than the conventional one; the first method uses only one IFFT block to generate the set of candidate signals, while the second one uses two IFFT blocks. Computer simulation results show that, as compared to the conventional SLM scheme, the first proposed approach has slightly worse PAPR reduction performance and the second proposed one reaches almost the same PAPR reduction performance.
Keywords :
OFDM modulation; computational complexity; fast Fourier transforms; OFDM systems; computational complexity; high-bit-rate communication systems; inverse fast Fourier transforms; low-complexity selected mapping scheme; orthogonal frequency-division multiplexing; peak-to-average power ratio reduction; transmission signals; transmitter; Digital video broadcasting; Fast Fourier transforms; Frequency division multiplexing; OFDM; Partial transmit sequences; Peak to average power ratio; Power amplifiers; Signal generators; Signal mapping; Transmitters; Inverse fast Fourier transform (IFFT); orthogonal frequency-division multiplexing (OFDM); peak-to-average power ratio (PAPR) reduction; selected mapping (SLM);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.859327