Antenna selection in MIMO cognitive radio-inspired NOMA systems

Yuehua Yu, He Chen, Yonghui Li, Zhiguo Ding, Li Zhuo

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of the secondary user under the condition that the quality of service of the primary user is satisfied. The asymptotic closed-form expression of the outage performance for SJ-AS is derived, and the minimal outage probability achieved by SJ-AS among all possible joint AS schemes is proved. The provided numerical results demonstrate the superior performance of the proposed scheme.

Original languageBritish English
Pages (from-to)2658-2661
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number12
DOIs
StatePublished - Dec 2017

Keywords

  • Antenna selection
  • Cognitive radio (CR)
  • Non-orthogonal multiple access (NOMA)

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