Robust Power Allocation in MIMO-NOMA Systems

Muhammad Fainan Hanif, Zhiguo Ding

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Generalized singular-value decomposition (GSVD) has been recognized as an enabler of multiple-input-multiple-output (MIMO) nonorthogonal multiple-access (NOMA) systems. The GSVD is leveraged to MIMO-NOMA with channel estimation errors. Channel uncertainty is uniquely incorporated in the variances of elements of error matrices in the signal-to-interference-plus-noise ratio (SINR) balancing problem, and tractable convex formulations are derived for different uncertainty models in this letter. The proposed design is numerically evaluated and its superiority over non-robust and orthogonal multiple access (OMA) systems is established.

Original languageBritish English
Article number8752430
Pages (from-to)1541-1545
Number of pages5
JournalIEEE Wireless Communications Letters
Volume8
Issue number6
DOIs
StatePublished - Dec 2019

Keywords

  • 5G
  • connectivity
  • convex optimization
  • MIMO
  • Nonorthogonal multiple access

Fingerprint

Dive into the research topics of 'Robust Power Allocation in MIMO-NOMA Systems'. Together they form a unique fingerprint.

Cite this