279 citations · 743 across the 34 of their papers we have counts for
35 papers
QoE Driven VR 360 Video Massive MIMO Transmission
Long Teng, Guangtao Zhai, Yongpeng Wu +4
Massive multiple-input and multiple-output (MIMO) enables ultra-high throughput and low latency for tile-based adaptive virtual reality (VR) 360 video transmission in wireless netw…
Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information
Yu-Chien Lin, Zhenyu Liu, Ta-Sung Lee +1
Massive MIMO wireless FDD systems are often confronted by the challenge to efficiently obtain downlink channel state information (CSI). Previous works have demonstrated the potenti…
OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users
Yao Ge, Qinwen Deng, P. C. Ching +1
We investigate a coded uplink non-orthogonal multiple access (NOMA) configuration in which groups of co-channel users are modulated in accordance with orthogonal time frequency spa…
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
Qiyu Hu, Yanzhen Liu, Yunlong Cai +2
The millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) systems with discrete lens arrays (DLA) have received great attention due to their simple hardware i…
A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback
Zhenyu Liu, Mason del Rosario, Zhi Ding
Forward channel state information (CSI) often plays a vital role in scheduling and capacity-approaching transmission optimization for massive multiple-input multiple-output (MIMO)…
Receiver Design for OTFS with Fractionally Spaced Sampling Approach
Yao Ge, Qinwen Deng, P. C. Ching +1
The recent emergence of orthogonal time frequency space (OTFS) modulation as a novel PHY-layer mechanism is more suitable in high-mobility wireless communication scenarios than tra…