@inproceedings{0bd43411ac024369b900aeffc8386096,
title = "Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties",
abstract = "This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.",
keywords = "bisection algorithm, imperfect channel state information (ICSI), non-orthogonal multiple access (NOMA), S-Procedure, semidefinite programming (SDP)",
author = "Al-Basit, {Suhaib M.} and Jingjing Cui and Yuanwei Liu and Zhiguo Ding and Pingzhi Fan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 ; Conference date: 22-10-2017 Through 24-10-2017",
year = "2018",
month = apr,
day = "2",
doi = "10.1109/ICCChina.2017.8330372",
language = "British English",
series = "2017 IEEE/CIC International Conference on Communications in China, ICCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 IEEE/CIC International Conference on Communications in China, ICCC 2017",
address = "United States",
}