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

作　　者：何怡刚[1] 程彤彤 FarhanAli 黄源 隋永波 宁暑光 He Yigang;Cheng Tongtong;Farhan Ali;Huang Yuan;Sui Yongbo;Ning Shuguang(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学电气与自动化工程学院,合肥230009

出　　处：《电子测量与仪器学报》2021年第6期140-146,共7页Journal of Electronic Measurement and Instrumentation

基　　金：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。

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, SI-SSOR)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。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 semi-iterative(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.

关 键 词：大规模MIMO 迫零预编码 SI-SSOR预编码 低运算复杂度 

分 类 号：TN929[电子电信—通信与信息系统]