On the Outage of Underlay CR-NOMA Networks with Detect-and-Forward Relaying

Sultangali Arzykulov, Galymzhan Nauryzbayev, Theodoros Tsiftsis, Behrouz Maham, Mohamed Abdallah

Research output: Contribution to journalArticle

Abstract

Non-orthogonal multiple access (NOMA) is considered to be one of the promising multiple access (MA) techniques for 5G networks that can provide low latency, high system throughput and massive connectivity. This paper studies an underlay cognitive radio (CR)-NOMA relaying network, where a secondary source communicates with M NOMA secondary destination users (SDUs) by a means of a detect-and-forward secondary relay under imperfect channel state information conditions. We derive generalized outage probability (OP) expressions in closed form for M NOMA-enabled SDUs. Moreover, we evaluate the OP of the CR-NOMA and conventional CR orthogonal MA schemes to show the superiority of the former. Finally, simulations are performed to corroborate the accuracy of the analytical results.
Original languageEnglish
Number of pages9
JournalIEEE Transactions on Cognitive Communications and Networking
Publication statusAccepted/In press - May 2019

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Cognitive radio
Outages
Channel state information
Throughput

Keywords

  • Non-orthogonal multiple access (NOMA)
  • Cognitive radio (CR)
  • Outage probability (OP)

Cite this

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abstract = "Non-orthogonal multiple access (NOMA) is considered to be one of the promising multiple access (MA) techniques for 5G networks that can provide low latency, high system throughput and massive connectivity. This paper studies an underlay cognitive radio (CR)-NOMA relaying network, where a secondary source communicates with M NOMA secondary destination users (SDUs) by a means of a detect-and-forward secondary relay under imperfect channel state information conditions. We derive generalized outage probability (OP) expressions in closed form for M NOMA-enabled SDUs. Moreover, we evaluate the OP of the CR-NOMA and conventional CR orthogonal MA schemes to show the superiority of the former. Finally, simulations are performed to corroborate the accuracy of the analytical results.",
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AU - Nauryzbayev, Galymzhan

AU - Tsiftsis, Theodoros

AU - Maham, Behrouz

AU - Abdallah, Mohamed

PY - 2019/5

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N2 - Non-orthogonal multiple access (NOMA) is considered to be one of the promising multiple access (MA) techniques for 5G networks that can provide low latency, high system throughput and massive connectivity. This paper studies an underlay cognitive radio (CR)-NOMA relaying network, where a secondary source communicates with M NOMA secondary destination users (SDUs) by a means of a detect-and-forward secondary relay under imperfect channel state information conditions. We derive generalized outage probability (OP) expressions in closed form for M NOMA-enabled SDUs. Moreover, we evaluate the OP of the CR-NOMA and conventional CR orthogonal MA schemes to show the superiority of the former. Finally, simulations are performed to corroborate the accuracy of the analytical results.

AB - Non-orthogonal multiple access (NOMA) is considered to be one of the promising multiple access (MA) techniques for 5G networks that can provide low latency, high system throughput and massive connectivity. This paper studies an underlay cognitive radio (CR)-NOMA relaying network, where a secondary source communicates with M NOMA secondary destination users (SDUs) by a means of a detect-and-forward secondary relay under imperfect channel state information conditions. We derive generalized outage probability (OP) expressions in closed form for M NOMA-enabled SDUs. Moreover, we evaluate the OP of the CR-NOMA and conventional CR orthogonal MA schemes to show the superiority of the former. Finally, simulations are performed to corroborate the accuracy of the analytical results.

KW - Non-orthogonal multiple access (NOMA)

KW - Cognitive radio (CR)

KW - Outage probability (OP)

M3 - Article

JO - IEEE Transactions on Cognitive Communications and Networking

JF - IEEE Transactions on Cognitive Communications and Networking

SN - 2332-7731

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