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Wireless Personal Communications

, Volume 104, Issue 1, pp 111–128 | Cite as

A Non-orthogonal Multiple Access and Interference Mitigation Combined Strategy in Multi-user Networks

  • Yue TianEmail author
Article
  • 63 Downloads

Abstract

In contrast to the orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) was shown to have outstanding performance in terms of spectrum efficiency, user fairness and signalling cost. In order to further promote the QoS of NOMA, an interference alignment and NOMA (IA-NOMA) combined strategy was proposed and analysed in this paper. In the two-user model, the proposed IA-NOMA showed significant performance improvements in terms of bit error rate. By considering a more generalised scenario, the idea of IA-NOMA was extended from the two-user model to a massive-user network. In this context, a cluster based IA-NOMA (CIA-NOMA) algorithm was proposed, and the sum-rate and outage probability of the CIA-NOMA was derived. The QoS of CIA-NOMA in terms of outage probability and effective data rate were demonstrated under different target rates. For the results of outage probability, it was shown that the CIA-NOMA outperformed NOMA-only method, especially under a low target rate case. Correspondingly, in terms of effective capacity, the CIA-NOMA required less transmit power than the NOMA-only method to achieve a target data rate.

Keywords

Multi-user networks Non-orthogonal multiple access Interference mitigation Outage probability 

Notes

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61801412, and in part by the High-Level Personnel Foundation of Xiamen University of Technology under Grant (G2018005)YKJ18005R.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Fujian Key Laboratory of Communication Network and Information Processing, School of Opto-Electronic and Communication EngineeringXiamen University of TechnologyXiamenChina
  2. 2.CSN Research GroupUniversity of BristolBristolEngland

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