Z
Zhi-Quan Luo
Researcher at The Chinese University of Hong Kong
Publications - 482
Citations - 38350
Zhi-Quan Luo is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Convex optimization & Beamforming. The author has an hindex of 86, co-authored 464 publications receiving 34268 citations. Previous affiliations of Zhi-Quan Luo include North Carolina State University & Huawei.
Papers
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Journal ArticleDOI
Semidefinite Relaxation of Quadratic Optimization Problems
TL;DR: This article has provided general, comprehensive coverage of the SDR technique, from its practical deployments and scope of applicability to key theoretical results, and showcased several representative applications, namely MIMO detection, B¿ shimming in MRI, and sensor network localization.
Book
Mathematical Programs with Equilibrium Constraints
TL;DR: Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
Journal ArticleDOI
Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem
TL;DR: A new approach to robust adaptive beamforming in the presence of an arbitrary unknown signal steering vector mismatch is developed based on the optimization of worst-case performance.
Journal ArticleDOI
Transmit beamforming for physical-layer multicasting
TL;DR: This paper considers the problem of downlink transmit beamforming for wireless transmission and downstream precoding for digital subscriber wireline transmission, in the context of common information broadcasting or multicasting applications wherein channel state information (CSI) is available at the transmitter.
Proceedings ArticleDOI
An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel
TL;DR: This paper proposes a linear transceiver design algorithm for weighted sum-rate maximization that is based on iterative minimization of weighted mean squared error (MSE) and extends the algorithm to a general class of utility functions and establishes its convergence.