activity
20202022
most citedEnhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT20221 cited

Performance Analysis of Wireless Network Aided by Discrete-Phase-Shifter IRS

Rongen Dong, Yin Teng, Zhongwen Sun +5

Discrete phase shifters of intelligent reflecting surface (IRS) generates phase quantization error (QE) and degrades the receive performance at the receiver. To make an analysis of…

cs.IT2021

High-performance Estimation of Jamming Covariance Matrix for IRS-aided Directional Modulation Network with a Malicious Attacker

Hangjia He, Ting Su, Hongjun Wang +4

In this paper, we investigate the anti-jamming problem of a directional modulation (DM) system with the aid of intelligent reflecting surface (IRS). As an efficient tool to combat…

cs.IT2021

Fast Ambiguous DOA Elimination Method of DOA Measurement for Hybrid Massive MIMO Receiver

Nuo Chen, Xinyi Jiang, Baihua Shi +6

DOA estimation for massive multiple-input multiple-output (MIMO) system can provide ultra-high-resolution angle estimation. However, due to the high computational complexity and co…

cs.IT2020

Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker

Yin Teng, Jiayu Li, Lin Liu +5

In this paper, we present a novel scenario for directional modulation (DM) networks with a full-duplex (FD) malicious attacker (Mallory), where Mallory can eavesdrop the confidenti…

cs.IT20202 cited

Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS

Feng Shu, Jiayu Li, Mengxing Huang +5

Intelligent reflecting surface (IRS) is of low-cost and energy-efficiency and will be a promising technology for the future wireless communications like sixth generation. To addres…