LACO-OFDM中位加载的最坏情况剩余裁剪噪声功率模型

Zhenyu Zhang, A. Chaaban, Chao Shen, H. Elgala, T. Ng, B. Ooi, Mohamed-Slim Alouini
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引用次数: 6

摘要

分层ACO-OFDM具有比ACO-OFDM更好的频谱效率,但其性能受到残余裁剪噪声(RCN)的挑战。本文对LACO-OFDM的RCN功率进行了分析和建模。由于RCN依赖于数据,因此考虑了最坏情况。定义了一个最坏情况指标,用于将RCN功率与接收机的噪声功率联系起来,其中线性关系被证明是一个实用的近似值。通过LACO-OFDM位加载实验,对数据速率为6 ~ 7gbps的RCN功率模型进行了验证。实验结果表明,计算RCN有两个优点。首先,与忽略RCN相比,它可以带来更好的比特加载,并实现高达59%的总误码率(BER)降低。其次,它平衡了跨层的误码率,从信道编码的角度来看,这是一个理想的特性。
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Worst-case residual clipping noise power model for bit loading in LACO-OFDM
Layered ACO-OFDM enjoys better spectral efficiency than ACO-OFDM, but its performance is challenged by residual clipping noise (RCN). In this paper, the power of RCN of LACO-OFDM is analyzed and modeled. As RCN is data-dependent, the worst-case situation is considered. A worst-case indicator is defined for relating the power of RCN and the power of noise at the receiver, wherein a linear relation is shown to be a practical approximation. An LACO-OFDM bit-loading experiment is performed to examine the proposed RCN power model for data rates of 6 to 7 Gbps. The experiment's results show that accounting for RCN has two advantages. First, it leads to better bit loading and achieves up to 59% lower overall bit-error rate (BER) than when the RCN is ignored. Second, it balances the BER across layers, which is a desired property from a channel coding perspective.
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