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dc.contributor.authorYu, Yu
dc.contributor.authorChen, H.
dc.contributor.authorLi, Y.
dc.contributor.authorDing, Z.
dc.contributor.authorZhuo, L.
dc.identifier.citationYu, Y. and Chen, H. and Li, Y. and Ding, Z. and Zhuo, L. 2017. Antenna selection in MIMO cognitive radio-inspired NOMA systems. IEEE Communications Letters. 21 (12): pp. 2658-2661.

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.

dc.publisherIEEE Communications Society
dc.titleAntenna selection in MIMO cognitive radio-inspired NOMA systems
dc.typeJournal Article
dcterms.source.titleIEEE Communications Letters
curtin.departmentSchool of Pharmacy and Biomedical Sciences
curtin.accessStatusFulltext not available

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