An Optimized SLM for PAPR Reduction in Non-coherent OFDM-IM

TL;DR

This paper introduces a new non-coherent OFDM-IM scheme optimized for PAPR reduction, utilizing a simplified linear programming approach and heuristics, demonstrating improved performance through simulations.

Contribution

It presents a novel PAPR reduction method for non-coherent OFDM-IM using a simplified optimization and heuristic algorithms, which is computationally efficient and effective.

Findings

Proposed schemes significantly reduce PAPR in non-coherent OFDM-IM.

The heuristic approach provides near-optimal solutions with lower complexity.

Simulation results confirm the effectiveness of the proposed methods.

Abstract

In this letter, we propose a peak-to-average power ratio (PAPR) efficient non-coherent orthogonal frequency division multiplexing with index modulation (OFDM-IM). It is shown that the non-coherent OFDM-IM design, which minimizes PAPR, is a non-linear optimization problem. This can be visualized as the optimization of the phase factor in selected mapping (SLM) technique. Further, a special case is considered, where the inputs take only real values. We then show how to approximately solve it using simple linear integer programming and explicitly quantify the gap between the approximate and the optimal solutions. A computationally efficient heuristic scheme is developed to obtain a suboptimal solution of the integer optimization problem. Finally, our simulation results indicate the merits of the proposed schemes.