PAPR mitigation in OFDM through Joint PTS and Side Information Optimization using Metaheuristics

Bruno F. Canale, Cristiano M. Panazio

DOI: 10.14209/sbrt.2022.1570822199

Evento: XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2022)

Keywords: peak-to-average power ratio combinatorial optimization OFDM metaheuristics

Abstract

Partial transmit sequence (PTS) using metaheuristic optimization methods can achieve a very good compromise between peak-to-average power ratio (PAPR) mitigation of orthogonal frequency division multiplexing (OFDM) signals and complexity. However, one neglected problem is that the side information (SI) needed for demodulation leads to PAPR regrowth. To overcome this issue, we propose a joint optimization scheme called Side inforMation and pARtial Transmit sEquence optimizatioN (SMARTEN) in which the SI is taken into account. We show that the proposed SI allows to correctly demodulate the OFDM symbol with a small energy efficiency loss. Then, we evaluate SMARTEN with genetic algorithm and simulated annealing metaheuristics and it is shown through simulations that not only the PAPR regrowth is eliminated but PAPR can be smaller than the one achieved by the conventional PTS when SI is not added to the OFDM symbol. We also provide an efficient implementation scheme, where we can exchange complexity by precomputing and storing the SI signal.

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