42 citations · 122 across the 10 of their papers we have counts for
7 papers · 1 filter
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
Hwanjin Kim, Junil Choi, David J. Love
Accurate channel knowledge is critical in massive multiple-input multiple-output (MIMO), which motivates the use of channel prediction. Machine learning techniques for channel pred…
Practical Distributed Reception for Wireless Body Area Networks Using Supervised Learning
Jihoon Cha, Junil Choi, David J. Love
Medical applications have driven many areas of engineering to optimize diagnostic capabilities and convenience. In the near future, wireless body area networks (WBANs) are expected…
Channel Estimation Techniques for Quantized Distributed Reception in MIMO Systems
Junil Choi, David J. Love, D. Richard Brown
The Internet of Things (IoT) could enable the development of cloud multiple-input multiple-output (MIMO) systems where internet-enabled devices can work as distributed transmission…
Distributed Reception with Spatial Multiplexing: MIMO Systems for the Internet of Things
Junil Choi, David J. Love, D. Richard Brown +1
The Internet of things (IoT) holds much commercial potential and could facilitate distributed multiple-input multiple-output (MIMO) communication in future systems. We study a dist…
Adaptive Millimeter Wave Beam Alignment for Dual-Polarized MIMO Systems
Jiho Song, Junil Choi, Stephen G. Larew +3
Fifth generation wireless systems are expected to employ multiple antenna communication at millimeter wave (mmWave) frequencies using small cells within heterogeneous cellular netw…
Bounds on Eigenvalues of a Spatial Correlation Matrix
Junil Choi, David J. Love
It is critical to understand the properties of spatial correlation matrices in massive multiple-input multiple-output (MIMO) systems. We derive new bounds on the extreme eigenvalue…