Impact of Wireless Backhaul Unreliability and Imperfect Channel Estimation on Opportunistic NOMA

Sunyoung Lee, Quang Duong, Roger Woods

Research output: Contribution to journalArticle

1 Citation (Scopus)
118 Downloads (Pure)

Abstract

We propose a new opportunistic non-orthogonal multiple access (NOMA) scheme under wireless backhaul unreliability and fronthaul channel uncertainty, where fronthaul represents regular radio access link. In particular, we propose two opportunistic methods for the proposed NOMA, which allow the best transmitter selection approaches based on either a near or a far-away receiver, considering the wireless backhaul unreliability and the fronthaul fading impairment. For the performance analysis, new closed-form expressions of exact and approximated outage probabilities of the grouped receivers are derived. The theoretical analysis provides an insight into the impact of wireless backhaul unreliability and imperfect channel estimation on the behaviour of outage probabilities at NOMA receivers. Furthermore, we analytically investigate how the number of multiple transmitters in the proposed opportunistic NOMA can determine the outage floors. We show that under unreliable wireless backhauls, a dominant receiver in the proposed NOMA scheme can achieve more than 3dB gain in outage performance, compared to the orthogonal multiple access. In addition, the outage probability at a dominant receiver is less influenced by imperfect channel information, while the outage probability at a non-dominant receiver is significantly sensitive. The analytical expressions and asymptotic results have been validated through Monte Carlo simulations, thus verifying the derived impact analysis of NOMA under wireless backhaul unreliability and imperfect channel estimation.
Original languageEnglish
Pages (from-to)10822-10833
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number11
Early online date02 Sep 2019
DOIs
Publication statusPublished - Nov 2019

Keywords

  • Wireless communications
  • channel estimation

ASJC Scopus subject areas

  • Engineering(all)

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