Vincent K. N. Lau
Hong Kong University of Science and Technology
613 Papers
5.6K Citations
Vincent K. N. Lau is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: MIMO & Channel state information. The author has an hindex of 55, co-authored 575 publications. Previous affiliations of Vincent K. N. Lau include University of California, Los Angeles & Alcatel-Lucent.
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Papers
System modeling and performance evaluation of rate allocation schemes for packet data services in wideband CDMA systems
Yu-Kwong Kwok,Vincent K. N. Lau +1 more
TL;DR: This paper analytically model the rate allocation problem that captures realistic system constraints such as downlink power limits and control, uplink interference effects, physical channel adaptation, and soft handoff, and suggests six efficient rate allocation schemes that are designed based on different philosophies: rate optimal, fairness-based, and user-oriented.
Delay-Aware BS Discontinuous Transmission Control and User Scheduling for Energy Harvesting Downlink Coordinated MIMO Systems
TL;DR: A delay-aware distributed solution with the BS-DTX control at the BS controller (BSC) and the user scheduling at each cluster manager (CM) using approximate dynamic programming and distributed stochastic learning is obtained and the proposed distributed two-timescale algorithm converges almost surely.
CSI Feedback Reduction for MIMO Interference Alignment
TL;DR: This paper develops a novel IA precoder/decorrelator design and establishes new IA feasibility conditions, and introduces a novel metric, namely the feedback dimension, which serves as a first-order measurement of CSI feedback overhead.
Dynamic Power Control for Delay-Aware Device-to-Device Communications
TL;DR: In this article, the authors considered the dynamic power control for delay-aware D2D communications and formulated the stochastic optimization problem as an infinite horizon average cost Markov decision process.
Phase Only RF Precoding for Massive MIMO Systems With Limited RF Chains
An Liu,Vincent K. N. Lau +1 more
TL;DR: A two-stage precoding scheme to efficiently exploit the large spatial degree of freedom (DoF) gain in massive MIMO systems with limited RF chains and reduced channel state information (CSI) signaling overhead and a low complexity solution based on a novel bi-convex approximation approach is proposed.