Low-Complexity Hybrid Precoding for Multi-User MmWave Systems With Low-Resolution Phase Shifters
Low-Complexity Hybrid Precoding for Multi-User MmWave Systems With Low-Resolution Phase Shifters
复制标题
具有低分辨率移相器的多用户毫米波系统的低复杂度混合预编码
DOI：
10.1109/tvt.2019.2933058
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发表时间：
2019-08
影响因子：
6.8
通讯作者：
Wei Zhenyu
中科院分区：
文献类型：
--
作者：
Dong Fuwang;Wang Wei;Wei Zhenyu
大型天线系统为毫米波（mmWave）通信系统提供可观的阵列增益，已引起人们的广泛关注。然而，巨大的硬件复杂性和功耗使得传统的预编码架构难以实现。最近，毫米波通信系统的混合预编码结构被广泛研究，以节省成本并实现令人满意的性能。不幸的是，大多数现有的预编码器设计都基于无限或高分辨率移相器（PS）的假设，这在现实世界中也很难实现。受此事实的启发，本文提出了一种用于具有两位分辨率 PS 的多用户系统的低复杂度混合预编码器和组合器设计，它在能量效率和系统总速率之间提供了适当的权衡。具体地，通过引入辅助变量来构造模拟波束形成的候选集，其中单元的数量与天线的数量相同。因此，与所提出的码本相比，搜索最佳波束形成器的计算复杂度显着降低。然后，为了避免信道矩阵的高复杂度奇异值分解（SVD），我们提出了一种基于主成分分析技术的Rank-1近似分解算法。最后，提出了用户调度算法以进一步提高多用户场景下的性能。仿真结果验证了所提算法的有效性，其性能接近最优非量化预编码器。
Large-scale antennas systems have been attracted significant attention to provide considerable array gains for millimeter wave (mmWave) communications systems. However, huge hardware complexity and power consumptions make the conventional precoding architectures impractical to realize. Recently, hybrid precoding structures for mmWave communications systems are widely investigated to save the cost and achieve satisfactory performance. Unfortunately, most existing precoder designs lie in the assumption of infinite or high-resolution phase shifters (PSs), which are also difficult to realize in real-world. Motivated by this fact, a low complexity hybrid precoder and combiner design for multi-user systems with two-bit resolution PSs is proposed in this paper, which provides an appropriate trade-off between energy efficiency and system sum-rate. Specifically, the candidate sets for analog beamforming are constructed by introducing the auxiliary variables, in which the number of elements is the same as that of antennas. Accordingly, the computational complexity of searching optimal beamformer is significantly reduced over proposed codebooks. Then, to avoid high complexity singular value decomposition (SVD) of channel matrix, we propose a rank-1 approximate decomposition algorithm based-on principal component analysis technique. At last, the user scheduling algorithm is presented to further improve the performance in multiuser-scenario. Simulation results verified the effectiveness of the proposed algorithms, the performance of which is close to the optimal unquantized precoder.
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