Taotao Ji

TL;DR: Numerical results demonstrate the superiority of the proposed design over benchmark schemes, and the necessity of the joint design of passive IRS beamforming and resource allocation for achieving better WPCN performance, and draw useful insights into the fine-tuning of IRS deployment location in the studied WPCN.

TL;DR: In this paper , a robust max-min fairness transmission design for intelligent reflecting surface (IRS)-aided wireless network in the presence of user location uncertainty is proposed. But the design of the active transmit beamformer at the base station and the passive phase shift matrix along with the deployment orientation (facing/pointing direction) of the IRS for maximizing the worst-case minimum signal-to-interference-plus-noise ratio (SINR) received by the users is investigated.

TL;DR: This letter studies an intelligent reflecting surface (IRS)-aided wireless information surveillance system, in which the IRS is leveraged to help the legitimate receiver (LR) intercept the information transmitted from a suspicious transmitter (ST) to a suspicious user (SU).

TL;DR: An efficient penalty-based algorithm consisting of two layers that iteratively increase the device's signal-to-interference-plus-noise ratio (SINR) by applying the Dinkelbach's transform and gradually decrease the penalty parameter.