Antenna selection in MIMO cognitive radio-inspired NOMA systems
dc.contributor.author | Yu, Yu | |
dc.contributor.author | Chen, H. | |
dc.contributor.author | Li, Y. | |
dc.contributor.author | Ding, Z. | |
dc.contributor.author | Zhuo, L. | |
dc.date.accessioned | 2018-08-08T04:43:43Z | |
dc.date.available | 2018-08-08T04:43:43Z | |
dc.date.created | 2018-08-08T03:50:58Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Yu, 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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/70143 | |
dc.identifier.doi | 10.1109/LCOMM.2017.2750153 | |
dc.description.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. | |
dc.publisher | IEEE Communications Society | |
dc.title | Antenna selection in MIMO cognitive radio-inspired NOMA systems | |
dc.type | Journal Article | |
dcterms.source.volume | 21 | |
dcterms.source.number | 12 | |
dcterms.source.startPage | 2658 | |
dcterms.source.endPage | 2661 | |
dcterms.source.issn | 1089-7798 | |
dcterms.source.title | IEEE Communications Letters | |
curtin.department | School of Pharmacy and Biomedical Sciences | |
curtin.accessStatus | Fulltext not available |
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