当前位置: X-MOL 学术Frequenz › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Channel estimation via GAMP for millimeter wave hybrid massive MIMO systems
Frequenz ( IF 1.1 ) Pub Date : 2022-02-11 , DOI: 10.1515/freq-2021-0177
Qiufang Huang 1 , Anzhong Hu 1
Affiliation  

In this paper, we study the channel estimation problem for the millimeter wave (mm-wave) hybrid massive multiple-input multiple-output (MIMO) system. Based on the sparsity exhibited by the mm-wave channel in the angular domain, we select a portion of the beams that contribute to the communication process from the beamspace. Then, only the channel coefficients in the selected beamspace need to be estimated. The channel estimation problem is converted into a sparse signal reconstruction problem and solved by employing the generalized approximate message passing (GAMP) algorithm with Laplace distribution. The scale parameter of distribution is designed by analyzing the variance of the partial channel coefficients. Because only the partial channel coefficients need to be estimated, the computational complexity of the proposed GAMP approach is much lower than other methods. Simulation results show that the proposed channel estimation scheme exhibits significant advantages both in terms of estimation accuracy and spectral efficiency.

中文翻译:

通过 GAMP 进行毫米波混合大规模 MIMO 系统的信道估计

在本文中,我们研究了毫米波(mm-wave)混合大规模多输入多输出(MIMO)系统的信道估计问题。基于毫米波通道在角域中表现出的稀疏性,我们从波束空间中选择了一部分有助于通信过程的波束。然后,只需要估计所选波束空间中的信道系数。将信道估计问题转化为稀疏信号重构问题,并采用拉普拉斯分布的广义近似消息传递(GAMP)算法求解。通过分析部分通道系数的方差来设计分布的尺度参数。因为只需要估计部分信道系数,所提出的 GAMP 方法的计算复杂度远低于其他方法。仿真结果表明,所提出的信道估计方案在估计精度和频谱效率方面都表现出显着的优势。
更新日期:2022-02-11
down
wechat
bug