3 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.SP2022★ 1 cited
Rapid Phase Ambiguity Elimination Methods for DOA Estimator via Hybrid Massive MIMO Receive Array
Xichao Zhan, Yiwen Chen, Feng Shu +5
For a sub-connected hybrid multiple-input multiple-output (MIMO) receiver with subarrays and antennas, there exists a challenging problem of how to rapidly remove phase amb…
eess.SP2020★ 3 cited
A Model-Driven Deep Learning Method for Massive MIMO Detection
Jieyu Liao, Junhui Zhao, Feifei Gao +1
In this paper, an efficient massive multiple-input multiple-output (MIMO) detector is proposed by employing a deep neural network (DNN). Specifically, we first unfold an existing i…
cs.IT2017★ 1 cited
Robust Beamforming for Physical Layer Security in BDMA Massive MIMO
Fengchao Zhu, Feifei Gao, Hai Lin +2
In this paper, we design robust beamforming to guarantee the physical layer security for a multiuser beam division multiple access (BDMA) massive multiple-input multiple-output (MI…