62 citations · 94 across the 6 of their papers we have counts for
7 papers · 1 filter
Joint Transceiver and Large Intelligent Surface Design for Massive MIMO MmWave Systems
Peilan Wang, Jun Fang, Linglong Dai +1
Large intelligent surface (LIS) has recently emerged as a potential low-cost solution to reshape the wireless propagation environment for improving the spectral efficiency. In this…
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
Xingjian Li, Jun Fang, Feifei Gao +1
In this paper, we study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted massive MIMO systems, where multiple IRSs equipped wit…
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach
Xingjian Li, Jun Fang, Huiping Duan +2
In this paper, we studied the problem of beam alignment for millimeter wave (mmWave) communications, in which we assume a hybrid analog and digital beamforming structure is employe…
Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures
Xingjian Li, Jun Fang, Hongbin Li +1
We consider the problem of channel estimation for millimeter wave (mmWave) systems, where, to minimize the hardware complexity and power consumption, an analog transmit beamforming…
Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition
Zhou Zhou, Jun Fang, Linxiao Yang +3
We consider the problem of uplink channel estimation for millimeter wave (mmWave) systems, where the base station (BS) and mobile stations (MSs) are equipped with large antenna arr…
A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements
Jun Fang, Yanning Shen, Hongbin Li
This paper considers the problem of reconstructing sparse or compressible signals from one-bit quantized measurements. We study a new method that uses a log-sum penalty function, a…