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Performance Analysis of NOMA-Based Land Mobile Satellite Networks

  • Xiaojuan Yan
  • , Hailin Xiao
  • , Cheng-Xiang Wang
  • , Kang An
  • , Anthony Theodore Chronopoulos
  • , Gan Zheng

Research output: Contribution to journalArticlepeer-review

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Abstract

Non-orthogonal multiple access (NOMA) scheme, which has the ability to superpose information in the power domain and serve multiple users on the same time/frequency resource, is regarded as an effective solution to increase transmit rate and fairness. In this paper, we introduce the NOMA scheme in a downlink land mobile satellite (LMS) network and present a comprehensive performance analysis for the considered system. Specifically, we first obtain the power allocation coefficients by maximizing the sum rate while meeting the predefined target rates of each NOMA user. Then, we derive the theoretical expressions for the ergodic capacity and the energy efficiency (EE) of the considered system. Moreover, the outage probability (OP) and average symbol error rate (ASER) performances of NOMA users are derived analytically. To gain further insights, we derive the asymptotic OP at the high signal-to-noise ratio (SNR) regime to characterize the diversity orders and coding gains of NOMA users. Finally, simulation results are provided to validate the theoretical analysis as well as the superiority of employing the NOMA scheme in the LMS system, and show the impact of key parameters such as fading configurations and user selection strategy on the performance of NOMA users.

Original languageEnglish
Pages (from-to)31327-31339
Number of pages13
JournalIEEE Access
Volume6
Early online date7 Jun 2018
DOIs
Publication statusPublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • average symbol error rate
  • energy efficiency
  • ergodic capacity
  • Land mobile satellite network
  • non-orthogonal multiple access
  • outage probability

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering

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