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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >On the energy/spectral efficiency of multi-user full-duplex massive MIMO systems with power control
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On the energy/spectral efficiency of multi-user full-duplex massive MIMO systems with power control

机译:具有功率控制的多用户全双工大规模MIMO系统的能量/频谱效率

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摘要

In this paper, we consider a multi-user full-duplex (FD) massive multiple-input multiple-output (MIMO) system. The FD base station (BS) is equipped with large-scale antenna arrays, while each FD user is equipped with two antennas (one for transmission and the other one for reception). We assume that the channel state information (CSI) is imperfect, and no instantaneous CSI of loop interference (LI) channel is obtained. On the basis of low-complexity uplink beamforming and downlink precoding techniques, i.e. maximum-ratio combining/maximum-ratio transmission (MRC/MRT) and zero-forcing reception/zero-forcing transmission (ZFR/ZFT), the asymptotic expressions of signal-to-interference-plus-noise ratio (SINR) of uplink and downlink are derived respectively when the number of antennas of the BS tends to infinity. Based on the asymptotic SINR expressions, we first analyse the spectral efficiency (SE) performance assuming that the generalized power scaling scenario is adopted. Through the theoretical derivation, it is shown that the detrimental impact of the LI can be eliminated by the very large number of antennas at the BS if the power scaling scenario is appropriately applied, as well as the interference caused by the imperfect channel estimation, the multi-user interference (MUI) and inter-user interference (IUI). Then, we propose power allocation (PA) scenarios to maximize the energy efficiency (EE) and the sum SE with the constraint of maximum powers at the BS and users. The simulation results verify the accuracy of the asymptotic method, we also validate the effectiveness of the EE and the sum SE maximization PA algorithms. We show that adopting the PA scheme to maximize the sum SE can make the multi-user FD massive MIMO system outperform the half-duplex (HD) counterpart regardless of the level of LI.
机译:在本文中,我们考虑了多用户全双工(FD)大规模多输入多输出(MIMO)系统。 FD基站(BS)配备了大型天线阵列,而每个FD用户都配备了两根天线(一个用于发射,另一个用于接收)。我们假设信道状态信息(CSI)是不完善的,并且没有获得环路干扰(LI)信道的瞬时CSI。在低复杂度上行波束成形和下行预编码技术的基础上,即最大比率组合/最大比率传输(MRC / MRT)和零强迫接收/零强迫传输(ZFR / ZFT),信号的渐近表达当BS的天线数量趋于无穷大时,分别推导出上行链路和下行链路的干扰加噪声比(SINR)。基于渐近SINR表达式,我们首先假设采用广义功率缩放方案,然后分析频谱效率(SE)性能。通过理论推导,可以看出,如果适当地应用功率缩放方案,则可以通过在BS处使用大量天线来消除LI的有害影响,以及由不完善的信道估计,多用户干扰(MUI)和用户间干扰(IUI)。然后,我们提出了功率分配(PA)方案,以在BS和用户处的最大功率约束下使能效(EE)和总和SE最大化。仿真结果验证了渐近方法的准确性,同时也验证了EE算法和SE最大化SE算法的有效性。我们表明,采用PA方案来最大化SE的总和,无论LI的级别如何,多用户FD大规模MIMO系统的性能都优于半双工(HD)。

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