Antenna Selection in MIMO Cognitive Radio-Inspired NOMA Systems

TL;DR

This paper proposes a new joint antenna selection algorithm for MIMO CR-NOMA systems that maximizes secondary user SNR while ensuring primary user QoS, demonstrating superior outage performance through analysis and simulations.

Contribution

A novel subset-based joint antenna selection algorithm for MIMO CR-NOMA systems that improves outage performance and computational efficiency.

Findings

SJ-AS maximizes secondary user SNR under primary QoS constraints.

Asymptotic outage expression derived for SJ-AS.

Numerical results confirm superior performance of SJ-AS.

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.