@inproceedings{
 title = {Asymptotic SINR for millimeter wave massive MIMO cellular networks},
 type = {inproceedings},
 year = {2015},
 identifiers = {[object Object]},
 keywords = {[Array signal processing, Base stations, Downlink,},
 volume = {2015-Augus},
 id = {62d8f269-eb28-320e-965e-e1d818d36fe7},
 created = {2016-09-06T19:47:20.000Z},
 file_attached = {false},
 profile_id = {be62f108-1255-3a2e-9f9e-f751a39b8a03},
 last_modified = {2017-03-24T19:20:02.182Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {? 2015 IEEE.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.},
 bibtype = {inproceedings},
 author = {Bai, T. and Heath, R.W.},
 booktitle = {IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC}
}

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