Multicarrier PAPR Reduction by Iteratively Shifting and Concentrating the Probability Measure

TL;DR

This paper introduces a novel iterative algorithm for reducing peak power in multicarrier waveforms, significantly lowering PAPR with minimal data rate loss, and offers a mathematically tractable approach suitable for next-generation wireless systems.

Contribution

A new peak power reduction algorithm for multicarrier waveforms that achieves substantial PAPR reduction with less rate loss and high potential for further improvements.

Findings

PAPR reduced by about 4.5 dB for 64 subcarriers

Rate loss of 0.5 bits per symbol

Algorithm shows high potential for refinements

Abstract

The peak power problem in multicarrier waveforms is well-known and imposes substantial limitations on wireless communications. As the quest for investigation of enabling technologies for the next generation of wireless communication systems 5G is at its peak, the problem is re-emerging in a much broader range of technologies. However, despite numerous publications on the topic, there is no well-established structure available for the problem, which motivates a boost in research. In this paper, a novel peak power reduction algorithm is proposed which offers a substantial Peak-to-Average Power Ratio (PAPR) reduction and exhibits high potential for further refinements. Mathematical tractability of the algorithm is expected to be of particular importance to this end. A remarkable early observation is a PAPR reduction of about 4.5 dB for 64 subcarriers with a rate loss of 0.5 bits per complex data symbol in an OFDM scheme, which is half the rate loss that other methods require in this class of algorithms.