Evaluation performance of multicarrier system using hybrid schemes to support 5G technology

H. Abdallah
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引用次数: 1

Abstract

The major limitation of the multicarrier system in 5G is the peak-to-average power ratio (PAPR). PAPR is a crucial parameter for representing 5G waveform candidates, such as UFMC, FBMC, and GFDM. The higher PAPR induces the signal to be in the saturation region of high power amplifier (HPA). Hybrid PAPR diminishment technique is discussed in this paper. To attack PAPR problem, in this paper, a new adaptive level algorithm with a hybrid PAPR reduction scheme is proposed. A hybrid optimized repeated clipping and filtering combined with a companding scheme (Hybrid-ORCC) is presented. The main objective of this system is to reduce PAPR of OFDM with a minor degradation in the Bit Error Rate (BER) performance. The ORPC PAPR value has been reduced by 7.5 dB and then the Hybrid-ORCC reduce the final PAPR by 2 dB. PAPR reduction plays an important role in diminishing the system power consumption. Extensive MATLAB simulations show that the hybrid technique outperforms the conventional clipping techniques by reducing the PAPR to its optimal value.
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采用混合方案支持5G技术的多载波系统性能评估
5G多载波系统的主要限制是峰值平均功率比(PAPR)。PAPR是表示5G候选波形(如UFMC、FBMC和GFDM)的关键参数。较高的PAPR使信号处于高功率放大器的饱和区。本文讨论了混合PAPR消减技术。为了解决PAPR问题,本文提出了一种混合PAPR约简方案的自适应水平算法。提出了一种混合优化的重复滤波和压缩方案(hybrid - orcc)。该系统的主要目标是在降低误码率(BER)性能的同时降低OFDM的PAPR。ORPC的PAPR值降低了7.5 dB,然后Hybrid-ORCC将最终的PAPR降低了2 dB。降低PAPR对降低系统功耗起着重要的作用。大量的MATLAB仿真表明,混合技术通过将PAPR降低到最优值而优于传统的裁剪技术。
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