1 citations · 2 across the 3 of their papers we have counts for
7 papers · 1 filter
Optimal Power Allocation for Secure Directional Modulation Networks with a Full-duplex UAV User
Feng Shu, Zaoyu Lu, Shuo Zhang +6
This paper make an investigation of a secure unmanned aerial vehicle (UAV)-aided communication network based on directional modulation(DM), in which one ground base station (Alice)…
An Efficient Hybrid Beamforming Design for Massive MIMO Receive Systems via SINR Maximization Based on an Improved Bat Algorithm
Mohammed A. Almagboul, Feng Shu, Yaolu Qin +4
Hybrid analog and digital (HAD) beamforming has been recently receiving considerable deserved attention for a practical implementation on the large-scale antenna systems. As compar…
Alternating Iterative Secure Structure between Beamforming and Power Allocation for UAV-aided Directional Modulation Networks
Feng Shu, Zaoyu Lu, Jinyong Lin +7
In unmanned aerial vehicle (UAV) networks, directional modulation (DM) is adopted to improve the secrecy rate (SR) performance. Alice, a ground base station, behaves as a control c…
Two Practical Random-Subcarrier-Selection Methods for Secure Precise Wireless Transmission
Tong Shen, Shuo Zhang, Riqing Chen +4
In secure precise directional modulation (DM) networks, two practical random-subcarrier-selection (RSS) methods are proposed to transmit confidential message to the desired user pe…
GPI-based Secrecy Rate Maximization Beamforming Scheme for Wireless Transmission with AN-aided Directional Modulation
Hai Yu, Simin Wan, Wenlong Cai +7
In a directional modulation network, a general power iterative (GPI) based beamforming scheme is proposed to maximize the secrecy rate (SR), where there are two optimization variab…
Pilot Optimization and Power Allocation for OFDM-based Full-duplex Relay Networks with IQ-imbalances
Jin Wang, Hai Yu, Yongpeng Wu +4
In OFDM relay networks with IQ imbalances and full-duplex relay station (RS), how to optimize pilot pattern and power allocation using the criterion of minimizing the sum of mean s…