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Superposition Signaling in Broadcast Interference Networks

Author(s): Tuan, Hoang Duong; Tam, Ho Huu Minh; Nguyen, Ha H; Duong, Trung Q; Poor, H Vincent

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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.
Publication Date: 24-Jul-2017
Citation: Tuan, Hoang Duong, Tam, Ho Huu Minh, Nguyen, Ha H, Duong, Trung Q, Poor, H Vincent. (2017). Superposition Signaling in Broadcast Interference Networks. IEEE Transactions on Communications, 65 (11), 4646 - 4656. doi:10.1109/tcomm.2017.2731315
DOI: doi:10.1109/tcomm.2017.2731315
ISSN: 0090-6778
Pages: 4646 - 4656
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Transactions on Communications
Version: Author's manuscript

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