2020
DOI: 10.1002/dac.4362
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Outage analysis of SWIPT‐based full‐duplex cognitive NOMA downlink system over Nakagami‐m fading channels

Abstract: Summary Cognitive nonorthogonal multiple access (NOMA) technique allows multiple users to share the same time and same frequency resources to fulfil the reliability and spectral efficiency requirements of 5G communication standards. In this paper, simultaneous wireless information and power transfer (SWIPT)–based full‐duplex cognitive NOMA downlink system is proposed. In this system, secondary source (SS) serves as a relay to far primary user as there is no direct link from the primary source. NOMA technique i… Show more

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Cited by 3 publications
(11 citation statements)
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“…It infers that, the outage performance of PU 1 monotonically decrease as SNR increases and saturates around 20 dB with acceptable BER of 10 −2 . Compared to Sashiganth et al, 29 the outage performance of PU 2 and SU degrades worse and attains saturation due to the presence of interference constraint λ at SS transmission. Moreover the outage performance of PU 2 and SU can be improved by increasing L and λ .…”
Section: Numerical Resultsmentioning
confidence: 81%
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“…It infers that, the outage performance of PU 1 monotonically decrease as SNR increases and saturates around 20 dB with acceptable BER of 10 −2 . Compared to Sashiganth et al, 29 the outage performance of PU 2 and SU degrades worse and attains saturation due to the presence of interference constraint λ at SS transmission. Moreover the outage performance of PU 2 and SU can be improved by increasing L and λ .…”
Section: Numerical Resultsmentioning
confidence: 81%
“…The outage probabilities of PU 1 , PU 2 , and SU are shown in Figure 3. Here, the outage probability performance is analyzed and compared with Sashiganth et al 29 The curves are plotted based on Equations , (), and (). It infers that, the outage performance of PU 1 monotonically decrease as SNR increases and saturates around 20 dB with acceptable BER of 10 −2 .…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…[27][28][29] In NOMA network, two commonly distribution models are Rayleigh distribution and Nakagami-m distribution. [30][31][32][33] Note that the Nakagami-m distribution, where the coefficient m = 1, becomes the Rayleigh distribution. The authors have confirmed that the system performance is improved by increasing the Nakagami-m coefficient.…”
Section: Introductionmentioning
confidence: 99%