154 citations · 235 across the 9 of their papers we have counts for
9 papers
EMBANet: A Flexible Efffcient Multi-branch Attention Network
Keke Zu, Hu Zhang, Jian Lu +2
This work presents a novel module, namely multi-branch concat (MBC), to process the input tensor and obtain the multi-scale feature map. The proposed MBC module brings new degrees…
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
Hu Zhang, Keke Zu, Jian Lu +2
Recently, it has been demonstrated that the performance of a deep convolutional neural network can be effectively improved by embedding an attention module into it. In this work, a…
Study of Tomlinson-Harashima Precoding Strategies for Physical-Layer Security in Wireless Networks
X. Lu, R. C. de Lamare
In this paper, we propose novel non-linear precoders for the downlink of a multi-user MIMO system with the existence of multiple eavesdroppers. The proposed non-linear precoders ar…
Coordinate Tomlinson-Harashima Precoding Design for Overloaded Multi-user MIMO Systems
K. Zu, R. C. de Lamare
Tomlinson-Harashima precoding (THP) is a nonlinear processing technique employed at the transmit side to implement the concept of dirty paper coding (DPC). The perform of THP, howe…
Multi-User Flexible Coordinated Beamforming using Lattice Reduction for Massive MIMO Systems
K. Zu, R. C. de Lamare
The application of precoding algorithms in multi-user massive multiple-input multiple-output (MU-Massive-MIMO) systems is restricted by the dimensionality constraint that the numbe…
Successive Optimization Tomlinson-Harashima Precoding Strategies for Physical-Layer Security in Wireless Networks
X. Luo, R. C. de Lamare, K. Zu
In this paper, we propose successive optimization non-linear precoding strategies for physical-layer security in wireless networks. We also investigate different precoding techniqu…