@Article{cmc.2022.030793,
AUTHOR = {Raed Alhamad, Hatem Boujemaa},
TITLE = {Throughput Enhancement for NOMA Systems Using Intelligent Reflecting Surfaces},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {73},
YEAR = {2022},
NUMBER = {3},
PAGES = {5233--5244},
URL = {http://www.techscience.com/cmc/v73n3/49061},
ISSN = {1546-2226},
ABSTRACT = {In this article, we optimize the powers associated to Non Orthogonal Multiple Access (NOMA) users, sensing and harvesting duration for Cognitive Radio Networks (CRN). The secondary source harvests energy from node A signal. Then, it senses the channel to detect primary source. Then, the secondary source transmits a signal that is reflected by Intelligent Reflecting Surfaces (IRS) so that all reflections have a zero phase at any user. A set Ii of reflectors are associated to user Ui. The use of M = Mi = 512, 256, 128, 64, 32, 16, 8 reflectors per user offers 45, 42, 39, 36, 33, 30, 27 dB gain <i>vs.</i> the absence of IRS. We also suggest the use of IRS in energy harvesting. The use <i>P</i> = 8 reflectors for energy harvesting and M = Mi = 8 reflectors per user for data communications offers 7 and 38 dB gain <i>vs</i>. one IRS M = Mi = 8 and the absence of IRS. The use of <i>P</i> = 16 reflectors for energy harvesting and M = Mi = 8 reflectors per user for data communications offers 9 and 42 dB gain <i>vs</i>. one IRS M = Mi = 8 and the absence of IRS.},
DOI = {10.32604/cmc.2022.030793}
}