宽带毫米波混合大规模 MIMO-OFDM 系统的子载波分组信道估计

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS IEEE Transactions on Green Communications and Networking Pub Date : 2023-09-22 DOI:10.1109/TGCN.2023.3317829
Yang Li;Anzhong Hu
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引用次数: 0

摘要

本文研究了具有宽带宽和混合结构的毫米波大规模多输入多输出正交频分复用系统的信道估计。通过考虑频空宽带效应和信道稀疏性的影响,对子载波进行分组,并估计每个分组的支持度和角度。根据角度估计值,推导出每个子载波的支持度。对计算复杂度进行了分析和比较,结果表明所提出的方法具有更低的计算复杂度。此外,还分析了克拉梅尔-拉奥约束(CRB)和频谱效率。分析表明,当信道估计完美时,频谱效率随信噪比的增加呈对数增长,反之则有限。模拟结果表明,与现有方法相比,拟议方法的信道估计误差更接近 CRB,频谱效率更高。
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Channel Estimation via Subcarrier Grouping for Wideband mmWave Hybrid Massive MIMO-OFDM Systems
This paper studies the channel estimation of millimeter-wave massive multiple-input multiple-output orthogonal frequency division multiplexing systems with a wide bandwidth and a hybrid structure. By considering the influence of the frequency-spatial wideband effect and the channel sparsity, the subcarriers are grouped, the support as well as the angle of each group are estimated. Based on the angle estimate, the support of each subcarrier is deduced. The computational complexities are analyzed and compared, which show the proposed method has a lower computational complexity. The Cramér-Rao bound (CRB) and the spectral efficiency are also analyzed. The analysis shows that the spectral efficiency increases logarithmly with the increase of the signal-to-noise ratio when channel estimation is perfect but is limited otherwise. The simulations show the proposed method gets closer to the CRB in channel estimation error and achieves higher spectral efficiency than the existing one.
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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