终端硬件缺陷对无小区大规模MIMO网络上行频谱效率的影响

Ning Li, Pingzhi Fan
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引用次数: 0

摘要

研究了空间相关信道中存在用户设备(UE)硬件缺陷的无蜂窝(CF)大规模MIMO (mMIMO)网络。利用建立的通用UE硬件损伤模型,推导出最小均方误差信道估计器。然后,导出了具有UE硬件缺陷的CF mMIMO网络上行遍历容量的下界,并导出了获得最大瞬时信噪比(SINR)的最优接收组合向量。考虑到MMSE组合的计算复杂度,提出了正则化零强迫(RZF)和最大比(MR)组合方案作为备选方案。结果表明,在不同的硬件条件下,RZF组合方案与MMSE组合方案相比,其和频谱效率(SE)损失较小。基于“先用后忘”(use-and- and- forget, UatF)界,导出了一种新的带MMSE估计量的封闭式上行SE表达式,用于MR合并。最后,我们评估了在不同硬件条件下容量边界的紧密性。
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Impact of UE Hardware Impairments on Uplink Spectral Efficiency of Cell-Free Massive MIMO Network
In this paper, the Cell-Free (CF) massive MIMO (mMIMO) network with user equipment (UE) hardware impairments in spatially correlated channels is investigated. By using the established generic UE hardware impairment model, a minimum mean-squared error (MMSE) channel estimator is derived. Then, a lower bound on the uplink ergodic capacity is derived for CF mMIMO network with UE hardware impairments, and an optimal receive combining vector is also derived for obtaining maximum instantaneous signal-to-interference-and-noise ratio (SINR). Considering the computational complexity of the MMSE combining, the regularized zero-forcing (RZF) and maximum ratio (MR) combining schemes are presented as alternatives. Our results show that the RZF combining scheme has little loss in sum spectral efficiency (SE) compared to MMSE combining under different hardware impairments. Based on the use-and-then-forget (UatF) bound, a new closed-form uplink SE expression with MMSE estimator is derived for MR combining. Finally, we evaluate the tightness of the capacity bounds under different hardware impairments.
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