4 papers
Neural Networks in Hybrid Precoding for Millimeter Wave Massive MIMO Systems
Jing Yang, Kai Chen, Xiaohu Ge +2
Neural networks have been applied to the physical layer of wireless communication systems to solve complex problems. In millimeter wave (mmWave) massive multiple-input multiple-out…
Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems
Shuang Zheng, Jing Yang, Xiaohu Ge +3
One of focuses in green communication studies is the energy efficiency (EE) of massive multiple-input multiple-output (MIMO) systems. Although the massive MIMO technology can impro…
Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-Connected Hybrid Precoding
Kai Chen, Jing Yang, Xiaohu Ge +3
Energy efficiency (EE) optimization of millimeter wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems is emerging as an important challenge for the fifth generatio…
Computing Resource Allocation of Mobile Edge Computing Networks Based on Potential Game Theory
Heng Liu, Haoming Jia, Jiaqi Chen +4
Mobile edge computing (MEC) networks are one of the key technologies for ultra-reliability and low-latency communications. The computing resource allocation solution needs to be ca…