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Xinying Ma

Researcher at University of Electronic Science and Technology of China

Publications -  27
Citations -  1721

Xinying Ma is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: MIMO & Communications system. The author has an hindex of 6, co-authored 23 publications receiving 535 citations.

Papers
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Journal ArticleDOI

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

TL;DR: 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears.
Journal ArticleDOI

A survey on terahertz communications

TL;DR: A comprehensive literature review on the development towards terahertz communications and some key technologies faced in THz wireless communication systems are presented and several potential application scenarios are discussed.
Journal ArticleDOI

Joint Channel Estimation and Data Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz MIMO Communication Systems

TL;DR: A novel feedforward fully connected structure based deep neural network (DNN) scheme is put forward, which has the ability to learn how to output the optimal phase shift configurations by inputting the features of estimated channel.
Proceedings ArticleDOI

Sum-rate Maximization for Intelligent Reflecting Surface Based Terahertz Communication Systems

TL;DR: This paper investigates the utilization of intelligent reflecting surface (IRS) to enhance the reflecting transmission of the THz communication system, and proposes a cross-entropy (CE) method that is feasible to promote the sum-rate compared with the LS method.
Journal ArticleDOI

Intelligent reflecting surface enhanced indoor terahertz communication systems

TL;DR: Simulation results show that the proposed suboptimal search scheme is able to achieves the near-optimal coverage performance and greatly decreases the computational burden compared with the exhaustive search method.