A 5G Beam Selection Machine Learning Algorithm for Unmanned Aerial Vehicle Applications

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameters</td><td class="align_center">Values and notations</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Frequency</td><td class="align_center">28 GHz</td></tr><tr><td class="align_left">Complexity bandwidth</td><td class="align_center">1 GHz</td></tr><tr><td class="align_left">Antenna gains</td><td class="align_center">30 dBm</td></tr><tr><td class="align_left">Path loss model (dB)</td><td class="align_center"><span style="width: 241.186ptpx;"><svg height="14.5902pt" id="M313" style="vertical-align:-3.997001pt" version="1.1" viewbox="-0.0498162 -10.5932 241.186 14.5902" width="241.186pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 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class="align_center">−174 dBm/Hz</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wireless Communications and Mobile Computing

tab2

Table 2

Table 2: A 5G Beam Selection Machine Learning Algorithm for Unmanned Aerial Vehicle Applications 