论文标题
大规模MIMO卫星通信的联合线性预编码和DFT束形设计
Joint Linear Precoding and DFT Beamforming Design for Massive MIMO Satellite Communication
论文作者
论文摘要
本文共同设计了线性预编码（LP）和基于密码的光束形成，该卫星具有大量的多输入多输出（MMIMO）天线技术。光束形成权重的代码本是使用离散傅立叶变换（DFT）矩阵的列构建的，所得的关节设计最大化了有限的传输功率下可实现的吞吐量。相应的优化问题首先是作为混合整数非线性编程（MINP）提出的。为了充分解决这个具有挑战性的问题，通过利用多种优化工具，例如加权最小均方误差转换，二元方法和匈牙利算法，开发了有效的LP和基于DFT的光束成型算法。另外，提出了用于基准测试的贪婪算法。对这些解决方案进行了复杂性分析，并进行了一系列蒙特卡洛模拟，以证明我们提出的算法的效率。
This paper jointly designs linear precoding (LP) and codebook-based beamforming implemented in a satellite with massive multiple-input multiple-output (mMIMO) antenna technology. The codebook of beamforming weights is built using the columns of the discrete Fourier transform (DFT) matrix, and the resulting joint design maximizes the achievable throughput under limited transmission power. The corresponding optimization problem is first formulated as a mixed integer non-linear programming (MINP). To adequately address this challenging problem, an efficient LP and DFT-based beamforming algorithm are developed by utilizing several optimization tools, such as the weighted minimum mean square error transformation, duality method, and Hungarian algorithm. In addition, a greedy algorithm is proposed for benchmarking. A complexity analysis of these solutions is provided along with a comprehensive set of Monte Carlo simulations demonstrating the efficiency of our proposed algorithms.
