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首页> 外文会议>VTC Fall;IEEE Vehicular Technology Conference >Throughput Performance of CF-Based Adaptive PAPR Reduction Method for Eigenmode MIMO-OFDM Signals with AMC
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Throughput Performance of CF-Based Adaptive PAPR Reduction Method for Eigenmode MIMO-OFDM Signals with AMC

机译：基于CF的AMC本征模MIMO-OFDM信号的吞吐量自适应性能降低

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摘要

This paper proposes an enhancement to a previously reported adaptive peak-to-average power ratio (PAPR) reduction method based on clipping and filtering (CF) for eigenmode multiple-input multiple-output (MIMO) - orthogonal frequency division multiplexing (OFDM) signals. We enhance the method to accommodate the case with adaptive modulation and channel coding (AMC). Since the PAPR reduction process degrades the signal-to-interference and noise power ratio (SINR), the AMC should take into account this degradation before PAPR reduction to select accurately the modulation scheme and coding rate (MCS) for each spatial stream. We use a lookup-table-based prediction of SINR after PAPR reduction, in which the interference caused by the PAPR reduction is obtained as a function of the stream index, frequency block index, clipping threshold for PAPR reduction, and input backoff (IBO) of the power amplifier. Simulation results show that the proposed PAPR reduction method increases the average throughput compared to the conventional CF method for a given adjacent channel leakage power ratio (ACLR) even when we assume AMC.
机译：本文针对本征模式多输入多输出（MIMO）-正交频分复用（OFDM）信号，提出了一种基于削波和滤波（CF）的先前报道的自适应峰均功率比（PAPR）降低方法的增强方法。我们通过自适应调制和信道编码（AMC）增强了适应情况的方法。由于PAPR降低过程会降低信号干扰和噪声功率比（SINR），因此AMC在PAPR降低之前应考虑到这种降低，以针对每个空间流准确选择调制方案和编码率（MCS）。我们使用基于查找表的PAPR降低后的SINR预测，其中，由PAPR降低引起的干扰是流索引，频率块索引，PAPR降低的限幅阈值和输入回退（IBO）的函数功率放大器的仿真结果表明，即使在假设为AMC的情况下，对于给定的相邻信道泄漏功率比（ACLR），与常规CF方法相比，提出的PAPR降低方法也会提高平均吞吐量。

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