Antenna selection in MIMO cognitive radio-inspired NOMA systems
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Authors
Yu, Yu
Chen, H.
Li, Y.
Ding, Z.
Zhuo, L.
Date
2017Type
Journal Article
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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.
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IEEE Communications Letters
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School
School of Pharmacy and Biomedical Sciences
Collection
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.
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