activity
20192023
most citedDeep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming

70 citations · 147 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2023★ 2 cited

Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction

Yuwen Yang, Feifei Gao, Xiaoming Tao +2

In this paper, we propose an environment semantics aided wireless communication framework to reduce the transmission latency and improve the transmission reliability, where semanti…

eess.SP2021★ 1 cited

Federated Dynamic Neural Network for Deep MIMO Detection

Yuwen Yang, Feifei Gao, Jiang Xue +2

In this paper, we develop a dynamic detection network (DDNet) based detector for multiple-input multiple-output (MIMO) systems. By constructing an improved DetNet (IDetNet) detecto…

eess.SP2021★ 70 cited

Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming

Zhiyan Liu, Yuwen Yang, Feifei Gao +2

In this paper, we propose a novel deep unsupervised learning-based approach that jointly optimizes antenna selection and hybrid beamforming to improve the hardware and spectral eff…

eess.SP2020★ 3 cited

Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction

Yuwen Yang, Feifei Gao, Chengwen Xing +2

Existing work in intelligent communications has recently made preliminary attempts to utilize multi-source sensing information (MSI) to improve the system performance. However, the…

cs.IT2019★ 12 cited

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

Yuwen Yang, Feifei Gao, Zhimeng Zhong +2

Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems…

cs.IT2019★ 59 cited

Model-aided Deep Neural Network for Source Number Detection

Yuwen Yang, Feifei Gao, Cheng Qian +1

Source number detection is a critical problem in array signal processing. Conventional model-driven methods e.g., Akaikes information criterion (AIC) and minimum description length…

eess.SP2019

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…