The distribution characteristics of ordered gsvd singular values and its applications in mimo-noma

Chenguang Rao, Zhiguo Ding, Xuchu Dai

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Generalized singular value decomposition (GSVD) has been recently regarded as a competitive candidate among linear precoding schemes for multiple-input multiple-output (MIMO) non-orthogonal multiple-access (NOMA) systems. In this letter, an expression of the distribution of ordered GSVD singular values is presented as a tool of the analysis for the GSVD-based MIMO-NOMA scheme. Facilitated by this probability density function (PDF) result, approximated results for the outage probabilities at high signal-noise ratio (SNR) are obtained for the insightful performance evaluation. Simulation results are developed to verify the analytical results and the superior performance of the GSVD-based MIMO-NOMA scheme.

Original languageBritish English
Article number9171284
Pages (from-to)2719-2722
Number of pages4
JournalIEEE Communications Letters
Volume24
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Generalized singular value decomposition (GSVD)
  • multiple-input multiple-output (MIMO)
  • non-orthogonal multiple access (NOMA)

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