论文标题
多端链条下行通道和OFDM的低分辨率预编码
Low-Resolution Precoding for Multi-Antenna Downlink Channels and OFDM
论文作者
论文摘要
对于多路径的多输入单输出通道，考虑下行链路预编码是使用正交频划分多路复用和低分辨率信号传导的。提出了量化的坐标最小化（QCM）算法，并将其性能与其他预编码算法进行比较，包括平方无穷基 - 基因弛豫（squid），多 - 安特纳纳贪婪迭代量化（MAGIQ）和最大的安全余量。 MAGIQ和QCM达到最高信息率，而QCM的复杂性最低，在乘法数量中测得。计算信息速率，以进行试验通道估计和数据辅助通道估计。 5G低密度平价检查代码的位错误率确认信息理论计算。发射机上具有不完善的通道知识的模拟表明，QCM和鱿鱼的性能以与高分辨率量化器相似的方式降低了零孔的预编码。
Downlink precoding is considered for multi-path multi-input single-output channels where the base station uses orthogonal frequency-division multiplexing and low-resolution signaling. A quantized coordinate minimization (QCM) algorithm is proposed and its performance is compared to other precoding algorithms including squared infinity-norm relaxation (SQUID), multi-antenna greedy iterative quantization (MAGIQ), and maximum safety margin precoding. MAGIQ and QCM achieve the highest information rates and QCM has the lowest complexity measured in the number of multiplications. The information rates are computed for pilot-aided channel estimation and data-aided channel estimation. Bit error rates for a 5G low-density parity-check code confirm the information-theoretic calculations. Simulations with imperfect channel knowledge at the transmitter show that the performance of QCM and SQUID degrades in a similar fashion as zero-forcing precoding with high resolution quantizers.
