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 journalArticlepeer-review

474 Scopus citations


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
Issue number6
StatePublished - Jun 2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

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


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


Dive into the research topics of 'A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment'. Together they form a unique fingerprint.

Cite this