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A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

机译:Ricean / Rayleigh衰落下大规模MIMO异构网络的性能研究

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Massive multiple-input and multiple-out (massive MIMO) systems and heterogeneous networks (HetNet) are envisioned to meet the new performance objectives of evolving networks. Now, the main challenge of massive MIMO with HetNet in two-tier networks is how to alleviate interference generated by the randomly deployed femtocells to the macro cells. In this paper, we investigate massive MIMO with HetNet, where the intended macro base station (MBS) transmission follows Ricean fading and interfering femto BS transmissions follow Rayleigh fading. Then, by exploiting matrix and stochastic geometric tools, we derive tight approximations for the intended signal power and aggregated interfering power signal. And derive the signal-to-interference (SIR) with the convolution of the two power signals. Then, we obtain the performance objectives: coverage and outage probabilities, and area spectral efficiency. Further, to reduce the cell edge effects and improve the SIR, we study the role of massive MIMO beamforming coordination with the high-powered MBSs. Thus, we develop maxi-min optimization to control the MBS transmit power. Numerical results show that the coverage and outage performance converge for different user locations, pathloss and Ricean factor. The monotonic increase in Ricean factor improves the SIR of a user located within coverage region. Optimal values of macro BS antenna and transmit power guarantee rate-fairness between the coordinating MBSs, and avoid strong Ricean channel correlation. Also, the performance gain is dependent on the user location, but independent of the cell size.
机译:设想了大规模的多输入多出(mass MIMO)系统和异构网络(HetNet),以满足不断发展的网络的新性能目标。现在,在两层网络中使用HetNet进行大规模MIMO的主要挑战是如何减轻由随机部署的毫微微小区对宏小区产生的干扰。在本文中,我们研究了具有HetNet的大规模MIMO,其中预期的宏基站(MBS)传输遵循Ricean衰落,而干扰的毫微微BS传输遵循Rayleigh衰落。然后,通过利用矩阵和随机几何工具,我们可以得出预期信号功率和聚集干扰功率信号的紧密近似。并利用两个功率信号的卷积推导信号干扰(SIR)。然后,我们获得性能目标:覆盖率和中断概率以及区域频谱效率。此外,为了减少小区边缘效应并改善SIR,我们研究了大规模MIMO波束形成与高功率MBS协调的作用。因此,我们开发了最大最小优化来控制MBS发射功率。数值结果表明,针对不同的用户位置,路径损耗和莱斯系数,覆盖范围和中断性能均达到收敛。 Ricean因子的单调增加改善了位于覆盖区域内的用户的SIR。宏BS天线的最佳值和发射功率保证了协调MBS之间的速率公平性,并避免了强莱斯信道相关性。同样,性能增益取决于用户位置,但与小区大小无关。

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