M
Ming Zeng
Researcher at Laval University
Publications - 97
Citations - 3275
Ming Zeng is an academic researcher from Laval University. The author has contributed to research in topics: MIMO & Computer science. The author has an hindex of 20, co-authored 74 publications receiving 1787 citations. Previous affiliations of Ming Zeng include Beijing University of Posts and Telecommunications & St. John's University.
Papers
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Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
TL;DR: In this paper, the authors proposed a divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner.
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Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster
TL;DR: In this article, the performance of MIMO-NOMA in terms of sum channel capacity and ergodic sum capacity is proved analytically, and a user admission scheme is proposed to maximize the sum rate and number of admitted users when the signal-to-interference-plus-noise ratio thresholds of the users are equal.
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Sum Rate Maximization for IRS-Assisted Uplink NOMA
TL;DR: Numerical results show that the proposed NOMA-based scheme achieves a larger sum rate than orthogonal multiple access (OMA)-based one, and the impact of the number of reflecting elements on the sum rate is revealed.
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On the Sum Rate of MIMO-NOMA and MIMO-OMA Systems
TL;DR: Analysis of the performance of non-orthogonal multiple access over multiple-input multiple-output (MIMO) channels proves analytically that for a simple scenario of two users, MIMO-NOMA dominates MIMo-OMA in terms of both sum rate and ergodic sum rate.
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Energy-Efficient Power Allocation in Millimeter Wave Massive MIMO With Non-Orthogonal Multiple Access
TL;DR: This letter investigates the energy efficiency (EE) problem in a millimeter wave massive MIMO system with non-orthogonal multiple access (NOMA), and forms a power allocation problem aiming to maximize the EE under users’ quality of service requirements and per-cluster power constraint.