Improved ACE-POCS-Based Algorithm for PAPR Reduction in OFDM Systems.

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Bibliographic Details
Title:	Improved ACE-POCS-Based Algorithm for PAPR Reduction in OFDM Systems.
Authors:	Zhang, Xiuyan¹ xyzhang_113@163.com, Tao, Guobin¹ tgbdqpi@163.com
Source:	IAENG International Journal of Computer Science. May2026, Vol. 53 Issue 5, p1637-1649. 13p.
Subjects:	Orthogonal frequency division multiplexing, Least squares, Algorithms, Signal processing, Optimization algorithms, Bit error rate
Abstract:	This study proposes an innovative algorithm that integrates the least-squares (LS) estimation method into the traditional ACE-POCS framework, named the least-squares active constellation extension projected onto convex sets (LS-ACE-POCS). The main objective of this work is to address the detrimental effect of the high peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. To this end, the proposed algorithm employs the LS estimation method to compute an optimal scaling factor, which is multiplied by the peak-clipped signal to generate a new output signal. The proposed algorithm is validated by comparing its performance after a single iteration with that of the conventional ACE-POCS algorithm after ten iterations, with the aim of demonstrating improved convergence speed and computational efficiency under equal processing conditions. The simulation results demonstrate that, at a threshold of 1.923, a CCDF of 10-4, with 512 subcarriers and QPSK modulation, the proposed LS-ACE-POCS algorithm significantly outperforms the conventional ACE-POCS algorithm in terms of PAPR reduction. Specifically, the PAPR achieved by the proposed algorithm after one iteration is 0.42 dB lower than that achieved by the traditional algorithm after ten iterations. In addition, the bit error rate (BER) performance of the proposed algorithm also shows a modest improvement. Thus, the LS-ACE-POCS algorithm exhibits strong performance in both PAPR reduction and BER, while featuring substantially lower computational complexity, thereby reducing overall system complexity. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	This study proposes an innovative algorithm that integrates the least-squares (LS) estimation method into the traditional ACE-POCS framework, named the least-squares active constellation extension projected onto convex sets (LS-ACE-POCS). The main objective of this work is to address the detrimental effect of the high peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems. To this end, the proposed algorithm employs the LS estimation method to compute an optimal scaling factor, which is multiplied by the peak-clipped signal to generate a new output signal. The proposed algorithm is validated by comparing its performance after a single iteration with that of the conventional ACE-POCS algorithm after ten iterations, with the aim of demonstrating improved convergence speed and computational efficiency under equal processing conditions. The simulation results demonstrate that, at a threshold of 1.923, a CCDF of 10-4, with 512 subcarriers and QPSK modulation, the proposed LS-ACE-POCS algorithm significantly outperforms the conventional ACE-POCS algorithm in terms of PAPR reduction. Specifically, the PAPR achieved by the proposed algorithm after one iteration is 0.42 dB lower than that achieved by the traditional algorithm after ten iterations. In addition, the bit error rate (BER) performance of the proposed algorithm also shows a modest improvement. Thus, the LS-ACE-POCS algorithm exhibits strong performance in both PAPR reduction and BER, while featuring substantially lower computational complexity, thereby reducing overall system complexity. [ABSTRACT FROM AUTHOR]
ISSN:	1819656X