A Heuristic Approach on PTS Algorithm for PAPR Reduction in OFDM Systems

This paper deals with peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems under the perspective of heuristic optimization applied to the partial transmit sequence topology, seeking the reduction of computational complexity. We have analyzed and e...

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Detalles Bibliográficos
Autores: Tavares, Caio Henrique Azolini, Abrão, Taufik
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:Brasil
Institución:Universidade Estadual de Londrina (UEL)
Repositorio:Revista Semina: Ciências Exatas e Tecnológicas (Online)
Idioma:portugués
OAI Identifier:oai:ojs2.ojs.uel.br:article/23621
Acceso en línea:https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/23621
Access Level:acceso abierto
Palabra clave:Orthogonal Frequency Division Multiplexing (OFDM)
Peak-to-Average Power Ratio
Multiplexagem por Divisão de Frequência Ortogonal (OFDM)
Relação entre Potência de Pico e Potência Média (PAPR)
Sequência de Transmissão Parcial (PTS)
Otimização Heurística
Otimização por Enxame de Partículas (PSO)
Sistemas de Telecomunicações
Descripción
Sumario:This paper deals with peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems under the perspective of heuristic optimization applied to the partial transmit sequence topology, seeking the reduction of computational complexity. We have analyzed and evaluated the partial transmit sequence (PTS) technique for reducing PAPR levels by means of heuristic optimization, namely particle swarm optimization (PSO). An elevated PAPR level on an OFDM signal implies an energy efficiency reduction of the high-power amplifiers (HPA) at the transmitter electronics, whose operating point must be moved in order to keep the output signal free from distortion; this is achieved by reducing the input signal power by a level known as input back-off (IBO). Numerical results have been compared with the conventional PTS (C-PTS) algorithm, especially regarding the trade-off between computational complexity versus PAPR reduction. Our numerical results have demonstrated that by using the PSO-PTS algorithm it is possible to achieve near optimal results in approximately a quarter of the time used by C-PTS, making the former more suitable for commercial applications that involve a large number of subcarriers, which implies in a high-PAPR OFDM signal.