@inproceedings{dd44a59dbdaa4cb1aa850886f177f685,
title = "Antenna selection for MIMO-NOMA networks",
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 (A3-AS), are proposed to maximize the system sum-rate. The asymptotic closed-form expressions for the average sum-rates for both AIA-AS and A3-AS are derived in the high signal-to-noise ratio (SNR) regime, respectively. Numerical results demonstrate that both AIA-AS and A3-AS can yield significant performance gains over comparable schemes. Furthermore, AIA-AS can provide better user fairness, while the A3-AS scheme can achieve the near-optimal sum-rate performance.",
author = "Yuehua Yu and He Chen and Yonghui Li and Zhiguo Ding and Branka Vucetic",
note = "Funding Information: This work was supported in part by ARC grants FL160100032, DP150104019 and FT120100487. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",
year = "2017",
month = jul,
day = "28",
doi = "10.1109/ICC.2017.7996799",
language = "British English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",
booktitle = "2017 IEEE International Conference on Communications, ICC 2017",
address = "United States",
}