Abstract
In this paper, we investigate different variants of metric-based symbol predistortion for peak-to-average power ratio (PAPR) reduction for OFDM systems. They mainly consist of predistorting a set of input symbols per block using simple metrics, and they do not require transmitting any side information to the receiver. The metrics measure how much each symbol contributes to the output signal samples of large magnitude, and the predistorted symbols are selected as those with the largest metrics. The proposed techniques can be implemented as a one-shot or an iterative procedure.
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