Paper Info
Title
Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-connected Hybrid Precoding
Abstract
Energy efficiency (EE) optimization of millimeter wave (mm-Wave) massive multiple-input multiple-output (MI-MO) systems is emerging as an important challenge for the fifth generation (5G) mobile communication systems. However, the power of radio frequency (RF) chains increases sharply due to the high carrier frequency in mm-Wave massive MIMO systems. To overcome this issue, a new energy efficiency optimization solution is proposed based on the structure of the generalized spatial modulation (GSM) and sub-connected hybrid precoding (HP). Moreover, the computation power of mm-Wave massive MIMO systems is considered for optimizing the EE. Simulation results indicate that the EE of the GSM-HP scheme outperforms the full digital precoding (FDP) scheme in the mm-Wave massive MIMO scene, and 88% computation power can be saved by the proposed GSM-HP scheme.
Year
DOI
Venue
2019
10.1109/CompComm.2018.8780889
2018 IEEE 4th International Conference on Computer and Communications (ICCC)
Keywords
DocType
Volume
energy efficiency,generalized spatial modulation,millimeter wave,massive MIMO
Journal
abs/1901.00244
ISBN
Citations 
PageRank 
978-1-5386-8340-8
0
0.34
References 
Authors
21
6
Name
Order
Citations
PageRank
Kai Chen1468.92
Jing Yang200.68
Xiaohu Ge31480114.44
Yonghui Li43393253.70
Lin Tian533329.01
Jinglin Shi657159.91