Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-connected Hybrid Precoding
Published in Conference, 2018
Recommended citation: K. Chen, J. Yang, X. Ge, Y. Li, L. Tian and J. Shi, "Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-connected Hybrid Precoding," 2018 IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, China, 2018, pp. 17-22, doi: 10.1109/CompComm.2018.8780889. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8780889
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.
Recommended citation: K. Chen, J. Yang, X. Ge, Y. Li, L. Tian and J. Shi, “Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-connected Hybrid Precoding,” 2018 IEEE 4th International Conference on Computer and Communications (ICCC), Chengdu, China, 2018, pp. 17-22, doi: 10.1109/CompComm.2018.8780889.