Optimizing Nonlinear Distortion and Interference in MC-CDMA Receivers Employing Deep Neural Networks

<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">Parameter</td><td class="align_center">Description</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Length of the chip (<i>N</i>)</td><td class="align_center">64</td></tr><tr><td class="align_left">Modulation type</td><td class="align_center">BPSK</td></tr><tr><td class="align_left">Frame data (<i>N</i><sub><i>F</i></sub>)</td><td class="align_center">3000</td></tr><tr><td class="align_left">Subcarriers</td><td class="align_center">64</td></tr><tr><td class="align_left">Spreading code type</td><td class="align_center">Walsh</td></tr><tr><td class="align_left">Data symbols per frame (<i>M</i>)</td><td class="align_center">9000</td></tr><tr><td class="align_left">Users (<i>K</i>)</td><td class="align_center">16</td></tr><tr><td class="align_left">Deployed medium</td><td class="align_center">SUI, Rayleigh</td></tr><tr><td class="align_left">Number of training symbols (<i>N</i><sub><i>T</i></sub>)</td><td class="align_center">2500</td></tr><tr><td class="align_left">Nonlinearity</td><td class="align_center"><svg height="13.8595pt" id="M39" style="vertical-align:-2.2681pt" version="1.1" viewbox="-0.0498162 -11.5914 164.476 13.8595" width="164.476pt" 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="M452 333C452 398 425 448 375 448C329 448 235 404 140 292H138L229 683C233 701 234 712 225 712C208 712 149 686 66 677L64 652H97C135 652 140 651 129 598L38 167C23 96 29 57 44 33C60 7 98 -12 132 -12C169 -12 232 3 290 41C383 102 452 223 452 333ZM365 316C365 199 308 87 239 49C221 39 200 35 183 35C137 35 99 70 112 163C116 191 123 215 129 233C190 316 290 392 330 392C348 392 365 372 365 316Z"></path></g><g transform="matrix(.013,0,0,-0.013,6.101,0)"><path d="M300 -147C201 -63 143 98 143 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class="align_center">9000</td></tr><tr><td class="align_left">Learning rate parameter (<i>μ</i>)</td><td class="align_center">0.85</td></tr><tr><td class="align_left">MLP training algorithm</td><td class="align_center">Backpropagation</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mobile Information Systems

tab2

Table 2

Table 2: Optimizing Nonlinear Distortion and Interference in MC-CDMA Receivers Employing Deep Neural Networks 