Multi-Objective Quantum Inspired Evolutionary SLM Scheme for PAPR Reduction in Multi-Carrier Modulation

Abstract

As an efficient wireless transmission technology, multi-carrier communication find its way in many applications. However, high peak to average power ratio (PAPR) of the signal degrades the system performance. Selected mapping is a distortion-less scheme that can reduce the PAPR dramatically without spectrum loss, while its realization requires solving an integer-programming problem (NP-hard problem). To remedy this, a novel multi-objective quantum inspired evolutionary based scheme is proposed in the paper. With objective fitness function characteristics ranking, angle increment updating and information sharing, the new scheme can dramatically reduce the search iterations. Simulation results show that proposed evolutionary scheme can achieve a significant improvement with a low complexity.