Near-Optimal Piecewise Linear Companding Transform for PAPR Reduction of OFDM Systems

IF 4.8 1区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Meixia Hu;Jingqing Wang;Wenchi Cheng;Hailin Zhang
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引用次数: 0

Abstract

Since the inherent high envelope fluctuation characteristics of OFDM signals present a significant challenge in reducing energy consumption, it is crucial to minimize the range of the envelope fluctuations of OFDM signals. As companding is a well-known technique for reducing the envelope fluctuations of OFDM signals, we explore the optimal companding transform by building a multi-objective optimization model with the goal of minimizing peak-to-average power ratio (PAPR), inner-band distortions, and out-of-band (OOB) radiations in this paper. The solution reveals that the optimal form of companding transform is a piecewise one and closely resembles a linear transform. Furthermore, we find that the average power of the optimal companded signal is never greater than that of the original signal, which contradicts the constraint of constant average signal power usually used in the design of companding transform. Based on the characteristics of the optimal companding transform, we propose a near-optimal piecewise linear companding transform to obviate the extremely high computational complexity of the optimal companding transform. The proposed near-optimal piecewise linear companding transform is a promising solution for mitigating companding distortions while reducing PAPR. However, it should be noted that there may still be some unavoidable distortions after decompanding, which results in a degradation of the BER performance. Thus, we diminish the remaining distortions after decompanding by relaxing the constraint of the proposed near-optimal piecewise linear companding transform on the average power of the companded signals. Simulation results demonstrate that the relaxation can improve the BER performance while ensuring the PAPR performance with only a small sacrifice on OOB radiations.
用于降低 OFDM 系统 PAPR 的近优iecewise Linear Companding 变换
由于OFDM信号固有的高包络波动特性对降低能量消耗提出了重大挑战,因此最小化OFDM信号的包络波动范围至关重要。由于压缩是一种众所周知的减少OFDM信号包络波动的技术,我们通过建立以最小化峰值平均功率比(PAPR)、带内失真和带外辐射为目标的多目标优化模型来探索最优压缩变换。结果表明,扩展变换的最优形式是分段变换,近似于线性变换。此外,我们发现最优压缩信号的平均功率从不大于原始信号的平均功率,这与通常在压缩变换设计中使用的信号平均功率恒定的约束相矛盾。根据最优压缩变换的特点,提出了一种近似最优分段线性压缩变换,避免了最优压缩变换计算复杂度极高的问题。提出的近最优分段线性压缩变换是一种很有前途的解决方案,可以减轻压缩失真,同时降低PAPR。但是,需要注意的是,分解后仍然可能存在一些不可避免的失真,从而导致误码率性能下降。因此,我们通过放宽所提出的近最优分段线性压缩变换对压缩信号平均功率的约束来减少分解后剩余的失真。仿真结果表明,在保证PAPR性能的同时,在保证误码率的同时,只需要很小的OOB辐射牺牲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Broadcasting
IEEE Transactions on Broadcasting 工程技术-电信学
CiteScore
9.40
自引率
31.10%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The Society’s Field of Interest is “Devices, equipment, techniques and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.” In addition to this formal FOI statement, which is used to provide guidance to the Publications Committee in the selection of content, the AdCom has further resolved that “broadcast systems includes all aspects of transmission, propagation, and reception.”
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