A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

Zhiguo Ding, Robert Schober, H. Vincent Poor

Research output: Contribution to journalArticle

277 Scopus citations

Abstract

The application of multiple-input multiple-output (MIMO) techniques to nonorthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, namely fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.

Original languageEnglish (US)
Article number7433470
Pages (from-to)4438-4454
Number of pages17
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number6
DOIs
StatePublished - Jun 2016

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Multiple-input multiple-output
  • multiuser superposition transmission (MUST)
  • non-orthogonal multiple access (NOMA)
  • signal alignment
  • stochastic geometry

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