activity
20192022
most citedLow-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications with Power Splitting

8 citations · 16 across the 6 of their papers we have counts for

collaborators

7 papers

cs.IT2022

Secrecy Rate Maximization of RIS-assisted SWIPT Systems: A Two-Timescale Beamforming Design Approach

Ming-Min Zhao, Kaidi Xu, Yunlong Cai +2

Reconfigurable intelligent surfaces (RISs) achieve high passive beamforming gains for signal enhancement or interference nulling by dynamically adjusting their reflection coefficie…

eess.SP2022

Channel Tracking and Prediction for IRS-aided Wireless Communications

Yi Wei, Ming-Min Zhao, An Liu +1

For intelligent reflecting surface (IRS)-aided wireless communications, channel estimation is essential and usually requires excessive channel training overhead when the number of…

eess.SP20215 cited

Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation

Yi Wei, Ming-Min Zhao, Min-Jian Zhao +1

Intelligent reflecting surface (IRS) has emerged as a promising paradigm to improve the capacity and reliability of a wireless communication system by smartly reconfiguring the wir…

eess.SP20208 cited

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications with Power Splitting

Kaidi Xu, Ming-Min Zhao, Yunlong Cai +1

An unmanned aerial vehicle (UAV)-aided secure communication system is conceived and investigated, where the UAV transmits legitimate information to a ground user in the presence of…

eess.SP2020

A PDD Decoder for Binary Linear Codes With Neural Check Polytope Projection

Yi Wei, Ming-Min Zhao, Min-Jian Zhao +1

Linear Programming (LP) is an important decoding technique for binary linear codes. However, the advantages of LP decoding, such as low error floor and strong theoretical guarantee…

cs.IT20203 cited

ADMM-based Decoder for Binary Linear Codes Aided by Deep Learning

Yi Wei, Ming-Min Zhao, Min-Jian Zhao +1

Inspired by the recent advances in deep learning (DL), this work presents a deep neural network aided decoding algorithm for binary linear codes. Based on the concept of deep unfol…