@article{4b43ff150e824822b31bcb79d39586a8,
title = "Signal Superposition in NOMA with Proper and Improper Gaussian Signaling",
abstract = "Recent studies of single-cell two-user networks have shown that a higher network throughput is achieved by using a common message to be decoded by both users and conveying partial information for both users, rather than using the common message to convey the entire information for one of the two users. The latter is essentially the conventional non-orthogonal multiple access (NOMA), which performs better than orthogonal multiple access (OMA) only under users' dissimilar channel conditions. Unlike NOMA, the former performs consistently better than OMA. This paper generalizes such a signaling strategy to a general multi-cell multiuser network, which leads to a new NOMA approach (called n-NOMA) in which each pair of users decodes a message that conveys partial information for one of them only. Unlike the conventional NOMA, whose performance is dependent on the users' pairing strategy, the proposed n-NOMA consistently outperforms both NOMA and OMA schemes. Both proper and improper Gaussian signaling is considered for all the concerned schemes and it is shown that the latter is clearly more advantageous than the former.",
keywords = "Signal superposition, improper Gaussian signaling (IGS), max-min throughput optimization, non-orthogonal multiple access (NOMA), orthogonal multiple access (OMA)",
author = "Nasir, {Ali Arshad} and Tuan, {Hoang Duong} and Nguyen, {Ha H.} and Duong, {Trung Q.} and Poor, {H. Vincent}",
note = "Funding Information: Manuscript received August 30, 2019; revised March 23, 2020 and June 21, 2020; accepted June 30, 2020. Date of publication July 9, 2020; date of current version October 16, 2020. This work was supported by the Institute for Computational Science and Technology, Hochiminh city, Vietnam, in part by the Australian Research Council{\textquoteright}s Discovery Projects under Project DP190102501, in part by Natural Sciences and Engineering Research Council of Canada (NSERC) under Project RGPIN-2017-05899, in part by the U.K. Royal Academy of Engineering Research Fellowship under Grant RF1415\14\22, and in part by U.S. National Science Foundation under Grant CCF-1908308. The associate editor coordinating the review of this article and approving it for publication was L. Sanguinetti. (Corresponding author: Trung Q. Duong.) Ali Arshad Nasir is with the Department of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia (e-mail: anasir@kfupm.edu.sa). Funding Information: This work was supported 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 Natural Sciences and Engineering Research Council of Canada (NSERC) under Project RGPIN-2017-05899, in part by the U.K. Royal Academy of Engineering Research Fellowship under Grant RF1415\14\22, and in part by U.S. National Science Foundation under Grant CCF-1908308. Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",
year = "2020",
month = oct,
doi = "10.1109/TCOMM.2020.3008233",
language = "English (US)",
volume = "68",
pages = "6537--6551",
journal = "IEEE Transactions on Communications",
issn = "0090-6778",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",
}