Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network
Ozduran, Volkan; Mahmood, Nurul Huda; Chergui, Hatim (2021-05-05)
Ozduran, V, Huda Mahmood, N, Chergui, H. Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network. Trans Emerging Tel Tech. 2021; 32:e4276. https://doi.org/10.1002/ett.4276
© 2021 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Ozduran, V, Huda Mahmood, N, Chergui, H. Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network. Trans Emerging Tel Tech. 2021; 32:e4276, which has been published in final form at https://doi.org/10.1002/ett.4276. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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https://urn.fi/URN:NBN:fi-fe2022031824132
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Abstract
This study investigates power-domain non-orthogonal multiple access based wireless information exchange process. The investigation considers a dual-hop non-regenerative full-duplex wireless one-way relaying networks in the system model, where the source terminal transmits two different types of information and subtracts the interference signal at the destination by using successive interference cancellation technique. The outage probability, error probability, achievable rate, and ergodic rate of the considered system is analytically derived. In addition, optimum power allocation coefficients and relay terminal position are determined using the optimization techniques. Monte-Carlo simulation results validate the analytical and asymptotic derivations. The derived analytical expressions are found closely in agreement with the system level numerical results.
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