9 citations · 24 across the 5 of their papers we have counts for
7 papers · 1 filter
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers
Xingyu Zhou, Jing Zhang, Chao-Kai Wen +2
Deep neural networks (NNs) are considered a powerful tool for balancing the performance and complexity of multiple-input multiple-output (MIMO) receivers due to their accurate feat…
Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks
Yan Chen, Alireza Bayesteh, Yiqun Wu +13
Non-orthogonal multiple access (NoMA) as an efficient way of radio resource sharing can root back to the network information theory. For generations of wireless communication syste…
Compressive Sensing Techniques for Next-Generation Wireless Communications
Zhen Gao, Linglong Dai, Shuangfeng Han +3
A range of efficient wireless processes and enabling techniques are put under a magnifier glass in the quest for exploring different manifestations of correlated processes, where s…
Machine Learning Inspired Energy-Efficient Hybrid Precoding for MmWave Massive MIMO Systems
Xinyu Gao, Linglong Dai, Ying Sun +2
Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performa…
Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
Xinyu Gao, Linglong Dai, Shuangfeng Han +2
Millimeter-wave massive MIMO with lens antenna array can considerably reduce the number of required radio-frequency (RF) chains by beam selection. However, beam selection requires…
Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems
Linglong Dai, Xinyu Gao, Jinguo Quan +2
Millimeter wave (mmWave) massive MIMO can achieve orders of magnitude increase in spectral and energy efficiency, and it usually exploits the hybrid analog and digital precoding to…