516 citations · 1.7k across the 101 of their papers we have counts for
7 papers · 2 filters
3D Scene Based Beam Selection for mmWave Communications
Weihua Xu, Feifei Gao, Shi Jin +1
In this paper, we present a novel framework of 3D scene based beam selection for mmWave communications that relies only on the environmental data and deep learning techniques. Diff…
Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing
Liangyuan Xu, Feifei Gao, Cheng Qian
We develop a direction of arrival (DoA) and channel estimation algorithm for the one-bit quantized millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system. By…
Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
Yuwen Yang, Feifei Gao, Geoffrey Ye Li +1
In a frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system, the acquisition of downlink channel state information (CSI) at base station (BS) is a…
An Overview of Enhanced Massive MIMO with Array Signal Processing Techniques
Mingjin Wang, Feifei Gao, Shi Jin +1
In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint. A new trend of investigating m…
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels with Beam Squint
Mingjin Wang, Feifei Gao, Mark F. Flanagan +2
Multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication is a key technology for next generation wireless networks. One of the consequences of utilizing a large…
Mode Hopping for Anti-Jamming in Cognitive Radio Networks
Wenchi Cheng, Zan Li, Feifei Gao +2
Frequency hopping (FH) is an effective anti-jamming technology in cognitive radio networks (CRNs). However, it is difficult to significantly increase the anti-jamming results becau…