A Physical Layer Key Generation Scheme Based on Deep Learning Compensation and Balanced Vector Quantization

<table class="table-group" id="tab1"><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</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Channel model</td><td class="align_center">3GPP_38.901_UMa_NLOS</td></tr><tr><td class="align_left">Duplex method</td><td class="align_center">TDD</td></tr><tr><td class="align_left">Carrier frequency</td><td class="align_center">3.7 GHz</td></tr><tr><td class="align_left">Bandwidth</td><td class="align_center">20 MHz</td></tr><tr><td class="align_left">Number of subcarriers</td><td class="align_center">64</td></tr><tr><td class="align_left">Antenna configuration of BS</td><td class="align_center">1</td></tr><tr><td class="align_left">Antenna configuration of UE</td><td class="align_center">1</td></tr><tr><td class="align_left">Channel estimation</td><td class="align_center">Minimum mean square error</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Simulation parameter settings.</div>

Security and Communication Networks

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Table 1

Table 1: A Physical Layer Key Generation Scheme Based on Deep Learning Compensation and Balanced Vector Quantization 