Weighted Sum Rate Maximization for MIMO-OFDM Systems with Linear and Dirty Paper Precoding
Weighted Sum Rate Maximization for MIMO-OFDM Systems with Linear and Dirty Paper Precoding
复制标题
具有线性和脏纸预编码的 MIMO-OFDM 系统的加权和速率最大化
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
K. Kammeyer
中科院分区：
文献类型：
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作者：
Ronald Boehnke;K. Kammeyer
许多复杂的资源分配策略是基于给定发射功率的数据速率的加权和的最大化。虽然这个问题对于像TDMA这样的正交多址方案可以容易地解决，但是如果由于互耦合而在基站处使用多个天线在空间上分离用户，则会复杂得多。本文提出了一种新的投影共轭梯度法来优化发射滤波器。通过将梯度投影到切超平面上，在计算搜索方向时考虑功率约束。我们的方法具有良好的收敛性能时，应用到脏纸预编码，它也可以用于线性预编码器的优化。
Many sophisticated resource allocation strategies are based on the maximization of the weighted sum of data rates for a given transmit power. While this problem can be easily solved for orthogonal multiple access schemes like TDMA, it is much more complicated if users are separated in space using multiple antennas at the base station due to the mutual coupling. In this paper, we propose a new projected conjugate gradient algorithm for the optimization of the transmit filters. The power constraint is taken into account in the calculation of the search direction by projecting the gradient onto a tangent hyperplane. Our method features excellent convergence properties when applied to dirty paper precoding, and it may also be used for the optimization of linear precoders.