Hybrid Model for PAPR Minimization in OFDM System

Abstract

The technology has been growing rapidly in the form of portable wireless devices that can perform multiple functions to cope with the state-of-the-art technology and synchronization. A total device capacity must be increased to accommodate new wireless applications. This can be achieved by leveraging new technologies, with higher data rates. Spectrum pooling has gained immense popularity, with increased demand for frequency range and bandwidth availability constraints. Statistics suggest that much of the spectrum licensed is not used all the time. Because of the transmitter's nonlinearity nature, the large (peak to average power ratio (PAPR)) phenomenon is a drawback in orthogonal frequency division multiplexing (OFDM). Several hybrid approaches have recently been implemented to minimize PAPR's high value, at the expense of increasing the level of computational complexity in the system. In this paper, a new hybrid approach has been introduced in parallel to combine the selective mapping approach (SLM) with the partial transmit sequence (PTS) approach to improve the efficiency of PAPR reduction with lower numerical method complexity. The findings reveal that the OFDM systems with the proposed hybrid approach have better efficiency in terms of PAPR elimination, side-information, and computational complexity compared to current hybrid methods. Also, a hybrid approach proposed output could be maintained without degradation. Index Terms: OFDM, PTS, PAPR, SLM

PAPR Reduction for Different O-OFDM in VLC Using -Law Companding and Convolutional Encoder

“…The high value of PAPR is considered a severe drawback of OFDM systems. So, the PAPR issue is an undesired occurrence due to the IFFT process [22]. The PAPR in dB for a given OFDM signal can be evaluated as [19]:…”

“…DOI: https://doi.org/10.33103/uot.ijccce. 22 The Viterbi decoder has been applied efficiently in the VLC system based on O-OFDM [11]. In this work, the Viterbi algorithm is used as a decoder for the convolutional encoder to correct the transmission errors caused in the VLC system due to LED nonlinearity, noise, and companding.…”

“…The pre-distortion adaptive estimation method was DOI: https://doi.org/10.33103/uot.ijccce. 22 used to compensate LED non-linearity [12]. Our recent works [11], [13] have studied the VLC performance; in [2], the enhanced ADO-OFDM was proposed with Hamming coding/decoding to improve performance, and in [13], precoding techniques with Viterbi decoding was utilized with different O-OFDM to alleviate LED non-linearity.…”