@inproceedings{7aa16af138dd4fa0aecd33f3a2ee4eba,
title = "Convex quadratic programming for maximizing sum throughput in MIMO-NOMA multicell networks",
abstract = "This paper aims to design linear precoders for signal superposition at the base stations of non-orthogonal multiple access multiple-input multiple-output multi-cellular systems to maximize the overall sum throughput subject to the users' quality-of-service requirements, which are imposed independently on the users' channel conditions. This design problem is formulated as the maximization of a highly nonlinear and nonsmooth function subject to nonconvex constraints, which is very computationally challenging. A path-following algorithm for its solution, which invokes only a simple convex problem of moderate dimension at each iteration, is developed. Generating a sequence of improved points, this algorithm converges at least to a local optimum. Numerical results are then provided to demonstrate its merit.",
author = "Nguyen, {Van Dinh} and Tuan, {Hoang D.} and Duong, {Trung Q.} and Poor, {H. Vincent} and Shin, {Oh Soon}",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/GLOCOM.2017.8254177",
language = "English (US)",
series = "2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings",
address = "United States",
note = "2017 IEEE Global Communications Conference, GLOBECOM 2017 ; Conference date: 04-12-2017 Through 08-12-2017",
}