Low-complexity User Scheduling and Power Allocation for Downlink Multicarrier NOMA with Imperfect CSI

2018 ◽  
Author(s):  
Qian Cheng ◽  
Dan Wang ◽  
Xiaona Li ◽  
Zhongfang Wang ◽  
Yongming Wang
Keyword(s):  
Power Allocation ◽  
Low Complexity ◽  
Imperfect Csi ◽  
User Scheduling

Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI

2017 ◽  
Vol 35 (12) ◽  
pp. 2874-2885 ◽  
Author(s):  
Fang Fang ◽  
Haijun Zhang ◽  
Julian Cheng ◽  
Sebastien Roy ◽  
Victor C. M. Leung
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Imperfect Csi ◽  
User Scheduling

scholarly journals Low-Complexity Power Allocation for Network-Coded User Scheduling in Fog-RANs

2020 ◽  
pp. 1-1
Author(s):  
Mohammed S. Al-Abiad ◽  
Md. Zoheb Hassan ◽  
Ahmed Douik ◽  
Md. Jahangir Hossain
Keyword(s):  
Power Allocation ◽  
Low Complexity ◽  
User Scheduling

scholarly journals Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xiao Chen ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang
Keyword(s):  
Channel Estimation ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Communication Systems ◽  
Mimo Systems ◽  
Beam Steering ◽  
Estimation Method ◽  
Low Complexity ◽  
Estimation Accuracy ◽  
Hybrid Architecture

Abstract In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

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