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Ying-Chang Liang
Researcher at University of Electronic Science and Technology of China
Publications - 7
Citations - 1383
Ying-Chang Liang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Wireless network & Channel state information. The author has an hindex of 6, co-authored 7 publications receiving 751 citations.
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Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
TL;DR: A low-complexity algorithm is proposed to obtain the stationary solution for the joint design problem by utilizing the fractional programming technique and extended to the scenario wherein the CSI is imperfect.
Journal ArticleDOI
Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security
TL;DR: This paper considers a downlink multiple-input single-output (MISO) broadcast system, where the base station transmits independent data streams to multiple legitimate receivers and keeps them secret from multiple eavesdroppers and proposes an efficient algorithm based on the alternating optimization and the path-following algorithm to solve it in an iterative manner.
Posted Content
Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security
TL;DR: In this article, an intelligent reflecting surface (IRS) is introduced to provide a programmable wireless environment for physical layer security, which can change the attenuation and scattering of the incident electromagnetic wave so that it can propagate in a desired way toward the intended receiver.
Journal ArticleDOI
Resource Allocation for Wireless-Powered IoT Networks With Short Packet Communication
TL;DR: To enhance the transmission efficiency and reliability, effective-throughput and effective-amount-of-information as the performance metrics to balance the transmission rate and the packet error rate are defined, and efficient algorithms to find high-quality suboptimal solutions for them are developed.
Posted Content
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
TL;DR: In this article, a RIS-aided multiuser multiple-input single-output (MISO) downlink communication system is considered, where the beamforming at the access point and the phase vector of the RIS elements are jointly designed to maximize the weighted sum-rate (WSR) of all users.