An improved ASOICF algorithm for PAPR reduction in OFDM systems

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is an extensively used technology in broadband wireless communications. However, it also poses some drawbacks. The critical limitation which affects the quality of the service (QoS) is a peak-to-average power ratio (PAPR). This high PAPR problem results in the degradation of the power efficiency of the RF amplifier. Among the PAPR reduction schemes, Iterative clipping and filtering (ICF) gained a lot of attention due to its simplicity of implementation in the mitigation of PAPR in OFDM systems. ICF technique drives Fast-Fourier transform (FFT) / inverse FFT (IFFT) signal processing blocks multiple numbers of times to attain the prescribed level of PAPR, which leads to high system power consumption and add on computational time. In addition, the ICF technique was unable to control the in-band and out-of-band radiation. Therefore, we introduce an improved Adaptive Simplified Optimized Iterative Clipping and Filtering (ASOICF) algorithm to reduce PAPR in OFDM systems. The algorithm exploits Lagrange Multiplier optimization (LMO), the advantage of choosing LMO is to belittle the number of iterations in a customized fashion. We have found that our adaptive algorithm significantly reduces the PAPR in OFDM signals. The effectiveness of the proposed algorithm reveals it outperforms the existing techniques with a 4dB improvement in the simulation results and with reduced computational complexity.

Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

“…This figure is plotted at a condition when over sampling factor of QPSK modulation at 4, the PAPR determined using ASOICF is 4 dB. Subsequently, the proposed MFO-IFFA achieves the PAPR of 3.6 dB which is better than existing ASOICF [19]; and also reduces the randomness of OFDM signal effectively.…”

“…Vijaya Kumar Padarti and Venkateswara Rao Nandhanavanam [19] propose an improved Adaptive Simplified Optimized Iterative Clipping and Filtering (ASOICF) technique to minimize PAPR in OFDM systems. This research also uses Lagrange Multiplier Optimization (LMO), which has the advantage of reducing the number of iterations in a customizable way.…”

“…shows the comparative analysis of PAPR with existing ASOICF[19] techniques. A performance of PAPR is designed for proposed and existing technique is appeared in figure…”

Multi-Objective Mayfly Optimization in Phase Optimization of OFDM

“…The IMBO method was efficient for optimal character fusion of phase rotation factor for minimizing computation. The IMBO method provides efficient search optimization, and using optimum phase factor and phase weighting An improved Adaptive Simplified Optimized Iterative Clipping and Filtering (ASOICF) technique has been shown by Padarti and Nandhanavanam [16] to lower PAPR in OFDM systems. Due to its ease of application in the PAPR minimization in OFDM, ICF, between these PAPR reduction techniques, drew a lot of interest.…”