Design of Wavelet-Encoded Symbol Constellations for Cyclostationary Spectrum Sensing

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Characteristic</td><td class="align_center">Parameterization</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Carrier frequency</td><td class="align_center"><i>f</i><sub><i>c</i></sub> = 1024 Hz</td></tr><tr><td class="align_left">Sampling frequency</td><td class="align_center"><i>f</i><sub><i>s</i></sub> = 4096 Hz</td></tr><tr><td class="align_left">Number of baseband signal samples</td><td class="align_center"><i>N</i> = 4096 samples</td></tr><tr><td class="align_left">Number of samples per symbol</td><td class="align_center"><i>n</i><sub>samp</sub> = 16 samples/symbol</td></tr><tr><td class="align_left">Roll-off factor</td><td class="align_center"><i>B</i><sub>0</sub> = 0.5</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Parameters of the simulated signal for the alpha profile estimated by the fitness function of the genetic algorithm.</div>

Wireless Communications and Mobile Computing

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Table 3

Table 3: Design of Wavelet-Encoded Symbol Constellations for Cyclostationary Spectrum Sensing 