Z
Zhenyao He
Researcher at Southeast University
Publications - 11
Citations - 624
Zhenyao He is an academic researcher from Southeast University. The author has contributed to research in topics: Relay & Computer science. The author has an hindex of 3, co-authored 7 publications receiving 397 citations.
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Journal ArticleDOI
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications
TL;DR: In this article, the authors investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective, where the design goal is to maximize the system secrecy rate subject to the source transmit power constraint and the unit modulus constraints imposed on phase shifts at the IRS.
Posted Content
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications
TL;DR: An efficient alternating algorithm is developed where the solutions to the transmit covariance of the source and the phase shift matrix of the IRS are achieved in closed form and semi-closed form, respectively.
Journal ArticleDOI
Is Full-Duplex Relaying More Energy Efficient Than Half-Duplex Relaying?
TL;DR: It is shown that the maximum EE achieved by the FD relaying is always smaller than the HD counterpart if the authors only impose a relay transmit power constraint.
Journal ArticleDOI
Energy Efficient Joint Power Optimization for Full-Duplex Relaying
TL;DR: This paper develops an iterative algorithm based on concave-convex procedure (CCCP) to find a locally optimal solution and proposes an efficient non-iterative method that only needs to solve a single convex problem and meanwhile achieves near-optimal performance.
Journal ArticleDOI
Energy Efficient Beamforming Optimization for Integrated Sensing and Communication
TL;DR: This letter investigates the optimization of beamforming design in a system with integrated sensing and communication (ISAC), where the base station sends signals for simultaneous multiuser communication and radar sensing, and proposes an iterative algorithm to address this problem.