PAPR Reduction Using Iterative Clipping/Filtering and ADMM Approaches for OFDM-Based Mixed-Numerology Systems

PAPR Reduction Using Iterative Clipping/Filtering and ADMM Approaches for OFDM-Based Mixed-Numerology Systems
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使用迭代限幅/滤波和 ADMM 方法降低基于 OFDM 的混合数字参数系统的 PAPR

DOI:
10.1109/twc.2020.2966600
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发表时间:
2019-11
影响因子:
10.4
通讯作者:
Leung Victor C. M.
Leung Victor C. M.
中科院分区:
计算机科学1区
文献类型:
--
作者:
Liu Xiaoran;Zhang Xiaoying;Zhang Lei;Xiao Pei;Wei Jibo;Zhang Haijun;Leung Victor C. M.

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提出混合数字命理传输,以支持多种需求的通信场景。然而,由于正交频分复用(OFDM)仍然是基本波形,峰值平均功率比(PAPR)问题仍然很麻烦。本文基于迭代裁剪滤波(ICF)和优化方法,研究了混合命理系统中PAPR的降低问题。我们首先说明了经典ICF的直接扩展由于重复执行带来了数字命理间干扰(INI)的积累。利用裁剪噪声而不是裁剪信号,在不增加INI的情况下提出了噪声型ICF (NS-ICF)方法。接下来,我们解决了受PAPR约束的带内失真最小化问题。通过重新表述,得到的模型在目标函数和约束条件上都是可分离的,适合于乘法器交替方向法(ADMM)。然后开发了基于admm的算法,将原始问题分解为几个子问题,这些子问题可以很容易地用封闭解求解。此外,所提出的PAPR降低方法与滤波和加窗技术相结合的应用也被证明是有效的。
Mixed-numerology transmission is proposed to support a variety of communication scenarios with diverse requirements. However, as the orthogonal frequency division multiplexing (OFDM) remains as the basic waveform, the peak-to average power ratio (PAPR) problem is still cumbersome. In this paper, based on the iterative clipping and filtering (ICF) and optimization methods, we investigate the PAPR reduction in the mixed-numerology systems. We first illustrate that the direct extension of classical ICF brings about the accumulation of inter-numerology interference (INI) due to the repeated execution. By exploiting the clipping noise rather than the clipped signal, the noise-shaped ICF (NS-ICF) method is then proposed without increasing the INI. Next, we address the in-band distortion minimization problem subject to the PAPR constraint. By reformulation, the resulting model is separable in both the objective function and the constraints, and well suited for the alternating direction method of multipliers (ADMM) approach. The ADMM-based algorithms are then developed to split the original problem into several subproblems which can be easily solved with closed-form solutions. Furthermore, the applications of the proposed PAPR reduction methods combined with filtering and windowing techniques are also shown to be effective.
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