@article{e3ff60502ed54bada4639e05b71e4775,
title = "Superposition Signaling in Broadcast Interference Networks",
abstract = "It is known that superposition signaling in Gaussian interference networks is capable of improving the achievable rate region. However, the problem of maximizing the rate gain offered by superposition signaling is computationally prohibitive, even in the simplest case of two-user single-input single-output interference networks. This paper examines superposition signaling for the general multiple-input multiple-output broadcast Gaussian interference networks. The problem of maximizing either the sum rate or the minimal user's rate under superposition signaling and dirty paper coding is solved by a computationally efficient path-following procedure, which requires only a convex quadratic program for each iteration but ensures convergence at least to a locally optimal solution. Numerical results demonstrate the substantial performance advantage of the proposed approach.",
keywords = "Convex quadratic programming, Gaussian interference networks, Multi-user MIMO, Superposition signaling",
author = "Tuan, {Hoang Duong} and Tam, {Ho Huu Minh} and Nguyen, {Ha H.} and Duong, {Trung Q.} and Poor, {H. Vincent}",
note = "Funding Information: Manuscript received October 30, 2016; revised March 16, 2017 and May 17, 2017; accepted July 17, 2017. Date of publication July 24, 2017; date of current version November 15, 2017. This work was supported in part by the Australian Research Council{\textquoteright}s Discovery Projects under Project DP130104617, in part by Canadian National Science and Engineering Research Council Discovery Grant # RGPIN-2017-05899, in part by a U.K. Royal Academy of Engineering Research Fellowship under Grant RF1415/ 14/22, in part by the U.K. Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P019374/1, and in part by the U.S. National Science Foundation under Grants ECCS-1343210 and ECCS-1647198. The associate editor coordinating the review of this paper and approving it for publication was C. Tian. (Corresponding author: Trung Q. Duong.) H. D. Tuan is with the School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia (e-mail: tuan.hoang@uts.edu.au). Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",
year = "2017",
month = nov,
doi = "10.1109/TCOMM.2017.2731315",
language = "English (US)",
volume = "65",
pages = "4646--4656",
journal = "IEEE Transactions on Communications",
issn = "1558-0857",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "11",
}