Research Article
An Exhaustive Entropy Based SLM Method for PAPR Reduction of OFDM Systems
@INPROCEEDINGS{10.1109/ChinaCom.2011.6158131, author={Lei Ning and Zhenyong Wang and Mingchuan Yang and Qing Guo}, title={An Exhaustive Entropy Based SLM Method for PAPR Reduction of OFDM Systems}, proceedings={6th International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2012}, month={3}, keywords={exhaustive entropy; orthogonal frequency division multiplexing (ofdm); peak-to-average power ratio (papr); selected mapping (slm)}, doi={10.1109/ChinaCom.2011.6158131} }- Lei Ning
Zhenyong Wang
Mingchuan Yang
Qing Guo
Year: 2012
An Exhaustive Entropy Based SLM Method for PAPR Reduction of OFDM Systems
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2011.6158131
Abstract
Orthogonal frequency division multiplexing (OFDM) is an attractive technology to provide immense improvements in wireless transmission capacity but high peak-to-average power ratio (PAPR) is a major drawback of OFDM system. Selected mapping (SLM) scheme has good performance for PAPR reduction. It requires the transmitting data to be multiplied by random phase sequences. However, the sequences are pseudo-random which will decrease the method effectiveness. Exhaustive entropy is introduced in this paper which can identify the strength of random phase sequences property. Then an exhaustive entropy based SLM method is proposed. The scheme improves the effectiveness of random phase sequences by selecting the larger exhaustive entropy of them. Simulation results show that the PAPR reduction performance is better than that of conventional SLM through this method.