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arXiv · 1709.01629

Antenna Selection in MIMO Cognitive Radio-Inspired NOMA Systems

Yuehua Yu·He Chen·Yonghui Li·Zhiguo Ding·Li Zhuo
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Abstract

This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access (CR-NOMA) 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 (QoS) 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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Yuehua Yu, He Chen, Yonghui Li, Zhiguo Ding, Li Zhuo. 2017-09-05. Antenna Selection in MIMO Cognitive Radio-Inspired NOMA Systems. https://arxiv.org/abs/1709.01629

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