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Large Intelligent Surfaces Communicating Through Massive MIMO Rayleigh Fading Channels

机译:大型智能表面通过大规模的MIMO RAYLEIGH衰落通道进行通信

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摘要

Large intelligent surfaces (LIS) promises not only to improve the signal to noise ratio, and spectral efficiency but also to reduce the energy consumption during the transmission. We consider a base station equipped with an antenna array using the maximum ratio transmission (MRT), and a large reflector array sending signals to a single user. Each subchannel is affected by the Rayleigh flat fading, and the reflecting elements perform non-perfect phase correction which introduces a Von Mises distributed phase error. Based on the central limit theorem (CLT), we conclude that the overall channel has an equivalent Gamma fading whose parameters are derived from the moments of the channel fading between the antenna array and LIS, and also from the LIS to the single user. Assuming that the equivalent channel can be modeled as a Gamma distribution, we propose very accurate closed-form expressions for the bit error probability and a very tight upper bound. For the case where the LIS is not able to perform perfect phase cancellation, that is, under phase errors, it is possible to analyze the system performance considering the analytical approximations and the simulated results obtained using the well known Monte Carlo method. The analytical expressions for the parameters of the Gamma distribution are very difficult to be obtained due to the complexity of the nonlinear transformations of random variables with non-zero mean and correlated terms. Even with perfect phase cancellation, all the fading coefficients are complex due to the link between the user and the base station that is not neglected in this paper.
机译:大型智能表面(LIS)不仅应提高信噪比和光谱效率,而且还可以降低传输过程中的能量消耗。我们考虑一个配备有天线阵列的基站,使用最大比率传输(MRT),以及向单个用户发送信号的大反射器阵列。每个子信道受瑞利平衰落的影响,反射元件执行非完美的相位校正,这引入了VONMES分布式相位误差。基于中央极限定理(CLT),我们得出结论,整体通道具有等效伽马衰落,其参数从天线阵列和LIS之间的信道的瞬间导出,以及从LIS到单个用户。假设等效信道可以被建模为伽马分布,我们为误码概率和非常紧密的上限提出了非常精确的闭合表达式。对于LIS不能执行完美的相消除的情况,即在相位误差下,可以考虑使用众所周知的蒙特卡罗方法获得的分析近似和模拟结果来分析系统性能。由于非零均值和相关项的无随机变量的非线性变换的复杂性,非常难以获得用于伽马分布参数的分析表达。即使具有完美的相消除,由于在本文中的用户和基站之间的链路,所有衰落系数都很复杂。

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