3 citations · 3 across the 4 of their papers we have counts for
4 papers
Deep Learning Assisted Multiuser MIMO Load Modulated Systems for Enhanced Downlink mmWave Communications
Ercong Yu, Jinle Zhu, Qiang Li +4
This paper is focused on multiuser load modulation arrays (MU-LMAs) which are attractive due to their low system complexity and reduced cost for millimeter wave (mmWave) multi-inpu…
Statistical CSI Based Hybrid mmWave MIMO-NOMA with Max-Min Fairness
Jinle Zhu, Qiang Li, Hongyang Chen +1
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are two key enabling technologies for the fifth-generation (5G) mobile networks and beyond. In this paper, we con…
Enhanced User Grouping and Power Allocation for Hybrid mmWave MIMO-NOMA systems
Jinle Zhu, Qiang Li, Zilong Liu +2
Non-orthogonal multiple access (NOMA) and millimeter wave (mmWave) are two key enabling technologies for the fifth-generation (5G) mobile networks and beyond. In this paper, we con…
Machine Learning-based Signal Detection for PMH Signals in Load-modulated MIMO System
Jinle Zhu, Qiang Li, Li Hu +2
Phase Modulation on the Hypersphere (PMH) is a power efficient modulation scheme for the \textit{load-modulated} multiple-input multiple-output (MIMO) transmitters with central pow…