Performance of a new joint PAPR reduction and SI estimation technique for pilot-aided SLM-OFDM systems

Selected mapping (SLM) is an effective method for reducing peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. However, it requires detection of some side information (SI) to achieve successful data recovery. Existing SI estimation schemes are unattractive because of their high computational complexity. To address this problem, a new SI estimation technique based on a modified SLM is proposed. This paper shows that the proposed method requires significantly reduced computational complexity and yet produces similar PAPR reduction and data recovery performance as conventional SLM and an existing SI estimation scheme based on a frequency-domain correlation respectively.