  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.
