Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2018/9783863/figures/9783863.fig.008a.svgz" name="9783863.fig.008a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The PDF of DM error square.</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2018/9783863/figures/9783863.fig.008b.svgz" name="9783863.fig.008b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The PDF of AAMA error square.</td></tr></table>

<div>The PDF of channel statistical characteristics error square with different datasets.</div>

Wireless Communications and Mobile Computing

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Figure 8

Figure 8: Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms 