毫米波海量MIMO蜂窝网络的渐近信噪比

T. Bai, R. Heath
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引用次数: 22

摘要

由于毫米波(mmWave)频率波长小,因此有望将大量多输入多输出(MIMO)与毫米波结合起来。由于在传播和硬件约束方面的差异,毫米波大规模MIMO将不同于传统的大规模MIMO。本文提出了一种评估大规模毫米波海量MIMO网络性能的随机几何框架。在系统模型的基础上,给出了当基站天线数量趋于无穷大时,上行链路和下行链路的渐近信噪比(SINR)分布的解析表达式。数值结果表明,在密集毫米波网络中,信噪比分布快速收敛到渐近等价。与传统大规模MIMO的比较表明,毫米波大规模MIMO在足够密集的部署下可以实现更高的小区吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymptotic SINR for millimeter wave massive MIMO cellular networks
Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ from the conventional massive MIMO, due to the differences in propagation and hardware constraints. This paper proposes a stochastic geometry framework for evaluating the performance in large-scale mmWave massive MIMO networks. Based on the system model, analytical expressions are provided for the asymptotic signal-to-interference-plus-noise ratio (SINR) distributions in both uplink and downlink, when the number of base station antennas goes to infinity. Numerical results indicate a fast convergence in the SINR distribution to its asymptotic equivalence in dense mmWave networks. A comparison with conventional massive MIMO shows that mmWave massive MIMO achieves a higher cell throughput with sufficiently dense deployments.
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