Tone reservation ratio optimization for PAPR reduction in OFDM systems

Li, Bo; Hu, Lingna; Yang, Feng; Ding, Lianghui; Song, Tao

doi:10.1109/wcnc.2018.8377160

Cited by 3 publications

(1 citation statement)

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“…There are numerous methods detailed in literature [4] for PAPR reduction, such as clipping where signal is clipped off beyond a certain signal level [5], using forward error correction codes [6,7] for generating combination with lower PAPR, tone injection (TI) [8,9], tone reservation (TR) [10,11] where additional data block and power reduction carriers are used for PAPR reduction, companding reduces PAPR by compressing the higher peaks at the transmitter [12,13], pre-distortion and DFT-spreading are some of the pre-coding [14] method for PAPR reduction, active constellation extension [15,16] uses extension of existing constellation without affecting actual data. All of the above mention methods are either result in to distortion or requires high power transmission.…”

Section: Introductionmentioning

confidence: 99%

PAPR analysis of OFDM system using AI based multiple signal representation methods

2019

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OFDM (orthogonal frequency division multiplexing) is widely used in 4 th generation applications owing to its robustness in fading environments. The major issues with OFDM systems is the high PAPR (peak-to-average power ratio) of the transmitted signals, it leads to in and out of band distortion. SLM (selective mapping) and PTS (partial transmit sequence) are two key methods for PAPR reduction. Both the methods require exhaustive searching of phase factors to optimize the PAPR, these searches lead to high computational complexity. This paper discusses using optimization based PAPR reduction methods which an be used with PTS for the reduction of computational complexity and search space. In this paper we have analyzed PTS and SLM with particle swarm optimization (PSO), Artificial Bee Colony (ABC) and differential evolution (DE). PAPR and BER (bit error rate) comparison is done for both the cases.

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