Mengshi Hu

Beijing University of Posts and Telecommunications | BUPT · Department of Communication Engineering

In the letter, we propose to estimate uplink channel in urban 3-D MIMO systems utilizing denoising convolutional neuron networks (DnCNNs), which is recently proposed and has succeeded in tackling with image denoising tasks in computer vision. To process the complex numbers in channel estimation (CE), based on complex DnCNN (CDnCNN), a variant of Dn...

Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple‐input multiple‐output (MU‐MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal‐to‐interference‐plus‐noise ratio (SINR) loss to characterize it in multiuser multiple‐in...

In this paper, we propose to identify line-of-sight (LOS) and non-line-of-sight (NLOS) conditions based on CNN in urban 3D massive MIMO systems. The proposed method includes two parts. In the first part, given that the paths spread differently in time domain, we combine the normalized tap energy distribution on each antenna utilizing sounding refer...

In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network which can effectively improve the mobility robustness and reduce the handover failure by providing the data plane services under the umbrella of a macro cell coverage layer. However, in the ultra dense network, frequent data...