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Convex Optimization Method for Quasi-Constant Peak-to-Average Power Ratio of OFDM Signals

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2 Author(s)
Wang, Y.-C. ; State Key Lab. on ISN, Xidian Univ., Xian, China ; Yi, K.-C.

In this paper, we devise a new convex optimization strategy to both reduce the peak-to-average power ratio (PAPR) and the PAPR variance of orthogonal frequency-division multiplexing (OFDM) symbols. There are three distinctions of our proposed method as compared to existing methods: 1) PAPR, error vector magnitude (EVM), and free subcarrier power overhead are constrained simultaneously; 2) the EVM constraint is root-mean-square EVM (RMS-EVM); and 3) an auxiliary parameter, t, is used to generate quasi-constant PAPR through our proposed binary search algorithm (here, quasi-constant refers to the condition that most OFDM symbols' PAPR values are within a small, preset neighborhood). Simulation results are provided to demonstrate the effectiveness of our approach in comparison to others we consider.

Published in:

Signal Processing Letters, IEEE  (Volume:16 ,  Issue: 6 )