Antenna Selection for MIMO-NOMA Networks

TL;DR

This paper proposes two efficient antenna selection algorithms for MIMO-NOMA networks that improve sum-rate performance and fairness, with derived asymptotic expressions and numerical validation.

Contribution

Introduction of two novel joint antenna selection algorithms, AIA-AS and A$^3$-AS, for MIMO-NOMA networks, with analytical performance analysis and demonstrated advantages.

Findings

Both algorithms outperform comparable schemes in sum-rate.

AIA-AS offers better user fairness.

A$^3$-AS achieves near-optimal sum-rate.

Abstract

This paper considers the joint antenna selection (AS) problem for a classical two-user non-orthogonal multiple access (NOMA) network where both the base station and users are equipped with multiple antennas. Since the exhaustive-search-based optimal AS scheme is computationally prohibitive when the number of antennas is large, two computationally efficient joint AS algorithms, namely max-min-max AS (AIA-AS) and max-max-max AS (A$^3$-AS), are proposed to maximize the system sum-rate. The asymptotic closed-form expressions for the average sum-rates for both AIA-AS and A$^3$-AS are derived in the high signal-to-noise ratio (SNR) regime, respectively. Numerical results demonstrate that both AIA-AS and A$^3$-AS can yield significant performance gains over comparable schemes. Furthermore, AIA-AS can provide better user fairness, while the A$^3$-AS scheme can achieve the near-optimal sum-rate performance.