A Low-Complexity Scheme to Reduce the PAPR of an OFDM Signal Using Sign-Selection Algorithms

This paper considers the use of the sign-selection technique to reduce the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) signal. In the sign-selection technique, a set of subcarrier signs is selected to significantly reduce the PAPR statistics for OFDM signals. However, the considerable computational complexity for an exhaustive search over all combinations of 2
L
different sign patterns is a potential problem for practical implementation, where
L
is the number of subcarriers. To reduce the computational complexity while still improving the PAPR statistics, we introduce the quantum-inspired evolutionary algorithm (QEA), an effective algorithm that solves various combinatorial optimization problems, to determine a good set of subcarrier signs. The computer simulation results show that as compared to the conventional selected mapping (SLM) scheme and the cross-entropy (CE) method, the proposed QEA obtains the desirable PAPR reduction with low computational complexity.