论文标题
空间相关的里奇亚人褪色与相移的大规模褪色预编码
Large-Scale Fading Precoding for Spatially Correlated Rician Fading with Phase Shifts
论文作者
论文摘要
我们考虑大规模褪色的预编码（LSFP），这是多细胞大量MIMO（多输入多输出）系统的两层预编码方案，以抑制间层间的干扰。我们在中央网络控制器处使用LSFP获得闭合形式的光谱效率（SE），并使用线性最小于点或最小二乘通道估计器在基站（BSS）获得最大比率预编码。 LSFP权重设计基于长期渠道统计数据，在Per-BS传输功率约束下进行了两个重要的性能指标。这些指标是总和SE和比例公平，其中所产生的优化问题是非凸的。开发了两种有效的算法来通过使用加权最小于点误差和乘数方法的交替方向方法来解决这些问题。此外，提出了两种部分LSFP方案，以减少法律信号传导要求。模拟量化了LSFP比标准单层预码方案的性能改善，并确定每个优化问题的特定优势。
We consider large-scale fading precoding (LSFP), which is a two-layer precoding scheme in the downlink of multi-cell massive MIMO (multiple-input multiple-output) systems to suppress inter-cell interference. We obtain the closed-form spectral efficiency (SE) with LSFP at the central network controller and maximum ratio precoding at the base stations (BSs) using the linear minimum mean-squared error or least squares channel estimators. The LSFP weights are designed based on the long-term channel statistics and two important performance metrics are optimized under the per-BS transmit power constraints. These metrics are sum SE and proportional fairness, where the resulting optimization problems are non-convex. Two efficient algorithms are developed to solve these problems by using the weighted minimum mean-squared error and the alternating direction method of multipliers methods. Moreover, two partial LSFP schemes are proposed to reduce the fronthaul signaling requirements. Simulations quantify the performance improvement of LSFP over standard single-layer precoding schemes and identify the specific advantage of each optimization problem.
