何怡刚,程彤彤,FarhanAli,黄 源,隋永波,宁暑光.大规模 MIMO 系统下的低复杂度迫零预编码技术[J].电子测量与仪器学报,2021,35(6):140-146
大规模 MIMO 系统下的低复杂度迫零预编码技术
Low complexity ZF precoding in massive MIMO systems
  
DOI:
中文关键词:  大规模 MIMO  迫零预编码  SI-SSOR 预编码  低运算复杂度
英文关键词:massive MIMO  zero-forcing Precoding  SI-SSOR precoding  low complexity
基金项目:国家自然科学基金(51977153,51977161,51577046)、国家自然科学基金重点项目(51637004)、国家重点研发计划“重大科学仪器设备开发”项目(2016YFF0102200)、装备预先研究重点项目(41402040301)资助
作者单位
何怡刚 1.合肥工业大学 电气与自动化工程学院 
程彤彤 1.合肥工业大学 电气与自动化工程学院 
FarhanAli 1.合肥工业大学 电气与自动化工程学院 
黄 源 1.合肥工业大学 电气与自动化工程学院 
隋永波 1.合肥工业大学 电气与自动化工程学院 
宁暑光 1.合肥工业大学 电气与自动化工程学院 
AuthorInstitution
He Yigang 1.School of Electrical Engineering and Automation, Hefei University of Technology 
Cheng Tongtong 1.School of Electrical Engineering and Automation, Hefei University of Technology 
Farhan Ali 1.School of Electrical Engineering and Automation, Hefei University of Technology 
Huang Yuan 1.School of Electrical Engineering and Automation, Hefei University of Technology 
Sui Yongbo 1.School of Electrical Engineering and Automation, Hefei University of Technology 
Ning Shuguang 1.School of Electrical Engineering and Automation, Hefei University of Technology 
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中文摘要:
      针对大规模天线技术导致传统迫零(zero-forcing, ZF)预编码复杂度上升的问题,提出了一种低复杂度预编码技术。 首 先利用对称超松弛迭代(semi-iteration symmetric successive overrelaxation method, SSOR)技术优化信道矩阵求逆复杂度的问题; 然后利用切比雪夫半迭代法( semi-iteration, SI) 加速 SSOR 迭代( semi-iteration symmetric successive overrelaxation method,SISSOR)的收敛速度,使得 ZF 预编码可以快速的收敛。 实验结果表明,SI-SSOR 预编码在误码率和传输速率上都有非常好的性 能。 切比雪夫半迭代法加速的 SSOR 预编码技术通过 2 次迭代就可以近似达到传统 ZF 预编码性能的 95%以上,同时利用相对 于迫零预编码更少的计算资源,因此,SI-SSOR 预编码技术可以作为无线通信抑制干扰的重要手段。
英文摘要:
      The complexity of traditional zero-forcing (ZF) precoding increases due to large-scale antenna technology. We propose a low complexity precoding technique. Firstly, the complexity of the matrix inversion problem is solved by using semi-iteration symmetric successive overrelaxation method (SSOR) technique, then the convergence rate of SSOR technique is accelerated by Chebyshev semiiterative ( SI) method, which makes the zero forcing precoding technology converge quickly. The experimental results show that for Chebyshev semi-iterative accelerated SSOR (SI-SSOR) precoding technique, it can approximate the 95% performance of ZF precoding with 2 iterations, and it takes less computing resources than ZF precoding. Therefore, The SI-SSOR precoding can play one significant technique to resist the influence of the communication interference.
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