| 摘要: |
| 为有效利用超大规模多入多出系统中因不同用户可视区域动态分布导致的信道矩阵稀疏特性，提出了一种基于可变子阵列的低复杂度部分连接结构混合预编码方案。先通过直接提取空口信道的共轭相位设计模拟预编码矩阵，并提出逐次最大化可变子阵列增益算法，以更有效连接射频链路与发射天线，从而获得更大空间分集增益；再对等效信道执行迫零数字预编码。仿真结果表明，相较于已有全连接结构方案，所提方案能以更低计算复杂度和硬件成本，提升频谱效率50%~200%，且对信道估计误差更为鲁棒。 |
| 关键词: 超大规模MIMO 混合预编码 可视区域 可变子阵列 |
| DOI：10.20079/j.issn.1001-893x.240117008 |
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| 基金项目:四川省科技计划重点研发基金资助项目(2021YFG0151) |
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| Low-complexity Hybrid Precoding for Extremely Large-scale Massive MIMO with Visibility Regions |
| ZHANG Lei,YANG Shuai,ZENG Qi |
| (1.School of Electronic Information and Electrical Engineering,Chengdu University,Chengdu 610106,China;2.School of Electrical Engineering，Sichuan University，Chengdu 610064，China) |
| Abstract: |
| To effectively utilize the sparsity of the channel matrix caused by the dynamic distribution of different users’ visible areas in extremely large-scale massive MIMO(XL-MIMO) systems,a low-complexity hybrid precoding scheme with partially-connected structure based on variable subarray(VSA) is presented.Firstly,the analog precoding matrix is designed by directly extracting the conjugate phase of the air interface channel,and an algorithm successively maximizing the VSA gain is proposed to connect the radio frequency chains and the transmitting antennas more effectively,thereby obtaining higher spatial diversity gain.Furthermore,a zero-forcing digital precoding is implemented for the equivalent channel.The simulation results show that compared with existing scheme with fully-connected structure,the proposed scheme can improve spectral efficiency significantly by 50% to 200% with lower computational complexity and hardware cost,and is more robust to channel estimation errors. |
| Key words: XL-MIMO hybrid precoding visibility regions variable subarray |
