712 citations · 2.4k across the 67 of their papers we have counts for
5 papers · 1 filter
Joint Channel Training and Feedback for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Yi Shi +2
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance ga…
Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems
Wenqian Shen, Linglong Dai, Byonghyo Shim +2
Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhe…
Sparse Detection of Non-Sparse Signals for Large-Scale Wireless Systems
Jun Won Choi, Byonghyo Shim
In this paper, we introduce a new detection algorithm for large-scale wireless systems, referred to as post sparse error detection (PSED) algorithm, that employs a sparse error rec…
Structured Compressive Sensing Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
Zhen Gao, Linglong Dai, Wei Dai +2
Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel estim…
Compressed Sensing for Wireless Communications : Useful Tips and Tricks
Jun Won Choi, Byonghyo Shim, Yacong Ding +2
As a paradigm to recover the sparse signal from a small set of linear measurements, compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to app…