基于分布式部分连接结构的多用户大规模MIMO混合预编码
Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO
- 通信学报 2022年43卷第1期 页码：104-116
- 作者机构：
成都大学电子信息与电气工程学院，四川 成都 610106
- 作者简介：
[ "张雷（1979- ），男，四川达州人，博士，成都大学高级工程师，主要研究方向为新一代移动通信关键无线技术、物联网技术等" ]
[ "王勤（1987- ），女，四川遂宁人，博士，成都大学讲师，主要研究方向为信息与通信系统、光电信息技术等" ]
- 基金信息：四川省科技计划重点研发基金资助项目(2021YFG0151);国家自然科学基金资助项目(62005028)
DOI：10.11959/j.issn.1000-436x.2022008
中图分类号： TN929.5-
网络首发：2022-01，
纸质出版：2022-01-25
- 稿件说明：
移动端阅览
张雷, 王勤. 基于分布式部分连接结构的多用户大规模MIMO混合预编码[J]. 通信学报, 2022,43(1):104-116.
Lei ZHANG, Qin WANG. Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO[J]. Journal on Communications, 2022, 43(1): 104-116.
张雷, 王勤. 基于分布式部分连接结构的多用户大规模MIMO混合预编码[J]. 通信学报, 2022,43(1):104-116. DOI： 10.11959/j.issn.1000-436x.2022008.
Lei ZHANG, Qin WANG. Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO[J]. Journal on Communications, 2022, 43(1): 104-116. DOI： 10.11959/j.issn.1000-436x.2022008.
摘要
在多用户大规模多输入多输出（MIMO）系统中，针对传统方案受限于集中式部分连接结构和固定匹配相控算法而未能充分利用空间资源的问题，提出一种基于分布式部分连接结构的低复杂度相控迫零混合预编码方案。所提方案设计了多于射频链路数的逻辑天线子阵列，以使每个射频链路能连接多个分布子阵列，从而提供更高的空间分集增益。进一步通过分析相控模拟预编码对迫零数字预编码的影响，并以最大化系统频谱效率上界为优化目标，提出串行最大化用户总体子阵列增益的相控模拟预编码算法。分析和仿真结果表明，所提方案相较于传统方案在略微增加计算复杂度的前提下能显著提升系统频谱效率，且对非完美信道状态信息不敏感。
Abstract
For multiuser massive multiple-input multiple-output (MIMO) systems
to solve the problem of underutilized spatial resources caused by centralized partially-connected structure (PCS) and fixed-matching phase-control algorithm in conventional schemes
a low complexity phased zero-forcing (PZF) hybrid precoding scheme based on distributed PCS was proposed.The logical antenna subarrays with more than the number of radio frequency (RF) chains were designed
so that each RF chain could be connected to multiple distributed subarrays to provide higher spatial diversity gain.Further
by analyzing the influence of phase-control analog precoding on zero-forcing digital precoding
a phase-control analog precoding algorithm via successively maximizing users’ total subarray gains was proposed to maximize the upper bound of system spectral efficiency.Analysis and simulation results show that
compared with the conventional schemes
the proposed scheme can significantly improve the system spectral efficiency while slightly increases the computational complexity
and it is also insensitive to imperfect channel state information.
关键词
Keywords
references
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