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基于混合移相器的毫米波大规模MIMO混合预编码算法研究OA

Research on Hybrid Precoding Algorithm Based on Hybrid Phase Shifter in Millimeter Wave Massive MIMO

中文摘要英文摘要

针对毫米波大规模MIMO系统能效低的问题,提出了一种混合预编码迭代最小化算法,采用离散混合精度移相器.首先,该算法遵循交替最小化算法的基本思路,利用数字预编码器的正交特性,在数字预编码器中应用正交约束.从由数字预编码器和无约束最佳数字预编码器确定的等效预编码器的相位中提取模拟预编码器的相位.然后,对所提取出的相位进行混合量化处理.最后,利用对偶范数的定义和 Hölder 不等式来逼近待优化的目标函数.仿真结果显示:该算法在保持接近全数字预编码方案的频谱效率的同时,对比于其他单精度算法,大幅提高了系统的能量效率.并且,该算法具有十分快速的收敛速度和低计算复杂度.

To address the problem of low energy efficiency in millimeter wave massive MIMO systems,a hybrid precoding iter-ative minimization algorithm based on discrete mixed precision phase shifter is proposed.Firstly,the algorithm follows the basic idea of alternating minimization algorithm and applies orthogonal constraints to the digital precoder by utilizing its orthogonal charac-teristics.Then it extracts the phase of the analog precoder from the equivalent precoder determined by the digital precoder and the unconstrained optimal digital precoder and perform mixed quantization processing on the extracted phase.Finally,the definition of dual norm and Hölder inequality are used to approximate optimized objective function.The simulation results show that the pro-posed algorithm significantly improves the energy efficiency of the system compared to other single precision algorithms while ensur-ing spectral efficiency close to the all digital precoding scheme.Moreover,the proposed algorithm has the properties of rather fast convergence speed and low computational complexity.

穆子健;朱艳萍;陈家楠;陈继鑫

南京信息工程大学 南京 210044南京信息工程大学 南京 210044南京信息工程大学 南京 210044南京信息工程大学 南京 210044

信息技术与安全科学

大规模MIMO混合精度移相器混合预编码频谱效率能量效率混合量化

massive MIMOhybrid precision phase shiftermixed precodingspectrum efficiencyenergy efficiencymixed quantization

《计算机与数字工程》 2026 (4)

933-938,944,7

国家重点研发计划(编号:2022YFE0122700)国家自然科学基金项目(编号:61971230)资助.

10.3969/j.issn.1672-9722.2026.04.005

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