A Versatile PAPR Reduction Algorithm for 5G Waveforms with Guaranteed Performance
Conference: WSA 2016 - 20th International ITG Workshop on Smart Antennas
03/09/2016 - 03/11/2016 at München, Deutschland
Proceedings: WSA 2016
Pages: 7Language: englishTyp: PDF
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Authors:
Afrasiabi-Gorgani, Saeed; Wunder, Gerhard (Heisenberg Communications and Information Theory Group, Freie Universität Berlin, Germany)
Abstract:
Peak-to-Average Power Ratio is a known issue of multicarrier waveforms. As the research on waveform design beyond OFDM is boosted, the PAPR problem has regained attention as a major bottleneck, particularly in spatial multiplexing schemes. In this paper a high-performance and flexible algorithm is proposed inspired by concentration of measure concept. The algorithm is analytically tractable thanks to concentration inequalities as a key element in this work. The performance is guaranteed with rather sharp bounds in a novel way. The PAPR reduction performance of the method for FBMC-OQAM signal model has no degradation comparing to OFDM.