TY - JOUR
T1 - Improper Gaussian Signaling for Broadcast Interference Networks
AU - Nasir, Ali Arshad
AU - Tuan, Hoang Duong
AU - Duong, Trung Q.
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received January 12, 2019; revised March 8, 2019; accepted March 13, 2019. Date of publication March 27, 2019; date of current version April 18, 2019. This work was supported in part by the KFUPM Research Project #SB171005, in part by the Institute for Computational Science and Technology, Hochiminh City, Vietnam, in part by the Australian Research Council’s Discovery Projects under Project DP190102501, in part by the U.K. Royal Academy of Engineering Research Fellowship under Grant RF1415\14\22, and in part by the U.S. National Science Foundation under Grants CCF-093970 and CCF-1513915. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Feifei Gao. (Corresponding author: Trung Q. Duong.) A. A. Nasir is with the Department of Electrical Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia (e-mail:, anasir@kfupm.edu.sa).
Publisher Copyright:
© 1994-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - For a multi-user multi-cell network, which suffers both intra-cell and inter-cell interference, this letter considers improper Gaussian signaling (IGS) as a means to improve the achievable rate. The problem of interest is designing of improper Gaussian signals' augmented covariance matrices to maximize the users' minimum rate subject to transmit power constraints. This problem is seen as a nonconvex matrix optimization problem, which cannot be solved by conventional techniques, such as weighted minimum mean square error minimization or alternating optimization. A path-following algorithm, which iterates a sequence of improved feasible points, is proposed for its computation. The provided simulation results for three cells serving 18 users show that IGS offers a much better max-min rate compared with that achieved by conventional proper Gaussian signaling. Another problem of maximizing the energy efficiency in IGS is also considered.
AB - For a multi-user multi-cell network, which suffers both intra-cell and inter-cell interference, this letter considers improper Gaussian signaling (IGS) as a means to improve the achievable rate. The problem of interest is designing of improper Gaussian signals' augmented covariance matrices to maximize the users' minimum rate subject to transmit power constraints. This problem is seen as a nonconvex matrix optimization problem, which cannot be solved by conventional techniques, such as weighted minimum mean square error minimization or alternating optimization. A path-following algorithm, which iterates a sequence of improved feasible points, is proposed for its computation. The provided simulation results for three cells serving 18 users show that IGS offers a much better max-min rate compared with that achieved by conventional proper Gaussian signaling. Another problem of maximizing the energy efficiency in IGS is also considered.
KW - Multi-user interference system
KW - augmented covariance matrix
KW - improper Gaussian signaling (IGS)
KW - multi-input multi-output (MIMO)
KW - nonconvex optimization
KW - quality-of-service (QoS)
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U2 - 10.1109/LSP.2019.2905959
DO - 10.1109/LSP.2019.2905959
M3 - Article
AN - SCOPUS:85064854614
SN - 1070-9908
VL - 26
SP - 808
EP - 812
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 6
M1 - 8675257
ER -