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.
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