Description: 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 the conventional
massive MIMO, due to the differences in propagation and
hardware constraints. This paper proposes a stochastic geometry
framework for uating the performance in large-scale
mmWave massive MIMO networks. Based on the system model,
analytical expressions are provided for the asymptotic signal-tointerference-
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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